Paperjam

#1104 · Guillaume Jaume, Paul Doucet, Andrew Song, Ming Y. Lu, Cristina Almagro Pérez, Sophia Wagner, Anurag Vaidya, Richard Chen, Drew Williamson, Ahrong Kim, Faisal Mahmood

Molecule Generation with Fragment Retrieval Augmentation

#1105 · Seul Lee, Karsten Kreis, Srimukh Veccham, Meng Liu, Danny Reidenbach, Saee Paliwal, Arash Vahdat, Weili Nie

Disentangling Interpretable Factors with Supervised Independent Subspace Principal Component Analysis

#1106 · Jiayu Su, David A Knowles, Raúl Rabadán

Approximating mutual information of high-dimensional variables using learned representations

#1107 · Gokul Gowri, Xiaokang Lun, Allon Klein, Peng Yin

A probability contrastive learning framework for 3D molecular representation learning

#1108 · Jiayu Qin, Jian Chen, Rohan Sharma, Jingchen Sun, Changyou Chen

Full-Atom Peptide Design with Geometric Latent Diffusion

#1109 · Xiangzhe Kong, Yinjun Jia, Wenbing Huang, Yang Liu

How Molecules Impact Cells: Unlocking Contrastive PhenoMolecular Retrieval

#1110 · Philip Fradkin, Puria Azadi Moghadam, Karush Suri, Frederik Wenkel, Ali Bashashati, Maciej Sypetkowski, Dominique Beaini

MMSite: A Multi-modal Framework for the Identification of Active Sites in Proteins

#1111 · Song Ouyang, Huiyu Cai, Yong Luo, Kehua Su, Lefei Zhang, Bo Du

Adaptive Visual Scene Understanding: Incremental Scene Graph Generation

#1200 · Naitik Khandelwal, Xiao Liu, Mengmi Zhang

DreamMesh4D: Video-to-4D Generation with Sparse-Controlled Gaussian-Mesh Hybrid Representation

#1201 · Zhiqi Li, Yiming Chen, Peidong Liu

Lighting Every Darkness with 3DGS: Fast Training and Real-Time Rendering for HDR View Synthesis

#1202 · Xin Jin, Pengyi Jiao, Zheng-Peng Duan, Xingchao Yang, Chongyi Li, Chun-Le Guo, Bo Ren

MotionGS: Exploring Explicit Motion Guidance for Deformable 3D Gaussian Splatting

#1203 · Ruijie Zhu, Yanzhe Liang, Hanzhi Chang, Jiacheng Deng, Jiahao Lu, Wenfei Yang, Tianzhu Zhang, Yongdong Zhang

LION: Linear Group RNN for 3D Object Detection in Point Clouds

#1204 · Zhe Liu, Jinghua Hou, Xinyu Wang, Xiaoqing Ye, Jingdong Wang, Hengshuang Zhao, Xiang Bai

LaSe-E2V: Towards Language-guided Semantic-aware Event-to-Video Reconstruction

#1205 · Kanghao Chen, Hangyu Li, Jiazhou Zhou, Zeyu Wang, Lin Wang

3D Focusing-and-Matching Network for Multi-Instance Point Cloud Registration

#1206 · Liyuan Zhang, Le Hui, qi liu, Bo Li, Yuchao Dai

MutaPLM: Protein Language Modeling for Mutation Explanation and Engineering

#1207 · Yizhen Luo, Zikun Nie, Massimo Hong, Suyuan Zhao, Hao Zhou, Zaiqing Nie

Generative Modeling of Molecular Dynamics Trajectories

#1208 · Bowen Jing, Hannes Stärk, Tommi Jaakkola, Bonnie Berger

DRACO: A Denoising-Reconstruction Autoencoder for Cryo-EM

#1209 · YingJun Shen, Haizhao Dai, Qihe Chen, Yan Zeng, Jiakai Zhang, Yuan Pei, Jingyi Yu

Kermut: Composite kernel regression for protein variant effects

#1210 · Peter Mørch Groth, Mads Kerrn, Lars Olsen, Jesper Salomon, Wouter Boomsma

Reprogramming Pretrained Target-Specific Diffusion Models for Dual-Target Drug Design

#1211 · Xiangxin Zhou, Jiaqi Guan, Yijia Zhang, Xingang Peng, Liang Wang, Jianzhu Ma

Memorize What Matters: Emergent Scene Decomposition from Multitraverse

#1300 · Yiming Li, Zehong Wang, Yue Wang, Zhiding Yu, Zan Gojcic, Marco Pavone, Chen Feng, Jose M. Alvarez

Consensus Learning with Deep Sets for Essential Matrix Estimation

#1301 · Dror Moran, Yuval Margalit, Guy Trostianetsky, Fadi Khatib, Meirav Galun, Ronen Basri

UNION: Unsupervised 3D Object Detection using Object Appearance-based Pseudo-Classes

#1302 · Ted Lentsch, Holger Caesar, Dariu Gavrila

UMB: Understanding Model Behavior for Open-World Object Detection

#1303 · Xing Xi, Yangyang Huang, Zhijie Zhong, Ronghua Luo

2DQuant: Low-bit Post-Training Quantization for Image Super-Resolution

#1304 · Kai Liu, Haotong Qin, Yong Guo, Xin Yuan, Linghe Kong, Guihai Chen, Yulun Zhang

Self-Supervised Adversarial Training via Diverse Augmented Queries and Self-Supervised Double Perturbation

#1305 · Ruize Zhang, Sheng Tang, Juan Cao

Effective Rank Analysis and Regularization for Enhanced 3D Gaussian Splatting

#1306 · Junha Hyung, Susung Hong, Sungwon Hwang, Jaeseong Lee, Jaegul Choo, Jin-Hwa Kim

NVRC: Neural Video Representation Compression

#1307 · Ho Man Kwan, Ge Gao, Fan Zhang, Andrew Gower, David Bull

Real-world Image Dehazing with Coherence-based Pseudo Labeling and Cooperative Unfolding Network

#1308 · Chengyu Fang, Chunming He, Fengyang Xiao, Yulun Zhang, Longxiang Tang, Yuelin Zhang, Kai Li, Xiu Li

3D Gaussian Rendering Can Be Sparser: Efficient Rendering via Learned Fragment Pruning

#1309 · Zhifan Ye, Chenxi Wan, Chaojian Li, Jihoon Hong, Sixu Li, Leshu Li, Yongan Zhang, Yingyan (Celine) Lin

DMesh: A Differentiable Mesh Representation

#1310 · Sanghyun Son, Matheus Gadelha, Yang Zhou, Zexiang Xu, Ming Lin, Yi Zhou

Where's Waldo: Diffusion Features For Personalized Segmentation and Retrieval

#1311 · Dvir Samuel, Rami Ben-Ari, Matan Levy, Nir Darshan, Gal Chechik

Exploiting Descriptive Completeness Prior for Cross Modal Hashing with Incomplete Labels

#1400 · Haoyang Luo, Zheng Zhang, Yadan Luo

Learning Optimal Lattice Vector Quantizers for End-to-end Neural Image Compression

#1401 · Xi Zhang, Xiaolin Wu

Transformer Doctor: Diagnosing and Treating Vision Transformers

#1402 · Jiacong Hu, Hao Chen, Kejia Chen, Yang Gao, Jingwen Ye, Xingen Wang, Mingli Song, Zunlei Feng

Soft Superpixel Neighborhood Attention

#1403 · Kent W Gauen, Stanley Chan

VQ-Map: Bird's-Eye-View Map Layout Estimation in Tokenized Discrete Space via Vector Quantization

#1404 · Yiwei Zhang, Jin Gao, Fudong Ge, Guan Luo, Bing Li, ZHAO-XIANG ZHANG, Haibin Ling, Weiming Hu

SpeechForensics: Audio-Visual Speech Representation Learning for Face Forgery Detection

#1405 · Yachao Liang, Min Yu, Gang Li, Jianguo Jiang, Boquan Li, Feng Yu, Ning Zhang, Xiang Meng, Weiqing Huang

AverNet: All-in-one Video Restoration for Time-varying Unknown Degradations

#1406 · Haiyu Zhao, Lei Tian, Xinyan Xiao, Peng Hu, Yuanbiao Gou, Xi Peng

3D Gaussian Splatting as Markov Chain Monte Carlo

#1407 · Shakiba Kheradmand, Daniel Rebain, Gopal Sharma, Weiwei Sun, Yang-Che Tseng, Hossam Isack, Abhishek Kar, Andrea Tagliasacchi, Kwang Moo Yi

VeXKD: The Versatile Integration of Cross-Modal Fusion and Knowledge Distillation for 3D Perception

#1408 · JI Yuzhe, Yijie CHEN, Liuqing Yang, Ding Rui, Meng Yang, Xinhu Zheng

EZ-HOI: VLM Adaptation via Guided Prompt Learning for Zero-Shot HOI Detection

#1409 · Qinqian Lei, Bo Wang, Robby Tan

Equivariant spatio-hemispherical networks for diffusion MRI deconvolution

#1410 · Axel Elaldi, Guido Gerig, Neel Dey

Estimating Ego-Body Pose from Doubly Sparse Egocentric Video Data

#1411 · Seunggeun Chi, Pin-Hao Huang, Enna Sachdeva, Hengbo Ma, Karthik Ramani, Kwonjoon Lee

Voxel Mamba: Group-Free State Space Models for Point Cloud based 3D Object Detection

#1500 · Guowen Zhang, Lue Fan, Chenhang HE, Zhen Lei, ZHAO-XIANG ZHANG, Lei Zhang

Multi-Object 3D Grounding with Dynamic Modules and Language-Informed Spatial Attention

#1501 · Haomeng Zhang, Chiao-An Yang, Raymond A. Yeh

Towards Croppable Implicit Neural Representations

#1502 · Maor Ashkenazi, Eran Treister

FreeSplat: Generalizable 3D Gaussian Splatting Towards Free View Synthesis of Indoor Scenes

#1503 · Yunsong Wang, Tianxin Huang, Hanlin Chen, Gim Hee Lee

Self-Distilled Depth Refinement with Noisy Poisson Fusion

#1504 · Jiaqi Li, Yiran Wang, Jinghong Zheng, Zihao Huang, Ke Xian, Zhiguo Cao, Jianming Zhang

MAGIS: LLM-Based Multi-Agent Framework for GitHub Issue Resolution

#1505 · Wei Tao, Yucheng Zhou, Yanlin Wang, Wenqiang Zhang, Hongyu Zhang, Yu Cheng

GSDF: 3DGS Meets SDF for Improved Neural Rendering and Reconstruction

#1506 · Mulin Yu, Tao Lu, Linning Xu, Lihan Jiang, Yuanbo Xiangli, Bo Dai

Beware of Road Markings: A New Adversarial Patch Attack to Monocular Depth Estimation

#1507 · Hangcheng Liu, Zhenhu Wu, Hao Wang, Xingshuo Han, Shangwei Guo, Tao Xiang, Tianwei Zhang

LiT: Unifying LiDAR "Languages" with LiDAR Translator

#1508 · Yixing Lao, Tao Tang, Xiaoyang Wu, Peng Chen, Kaicheng Yu, Hengshuang Zhao

Sparse-view Pose Estimation and Reconstruction via Analysis by Generative Synthesis

#1509 · Qitao Zhao, Shubham Tulsiani

ReGS: Reference-based Controllable Scene Stylization with Gaussian Splatting

#1510 · Yiqun Mei, Jiacong Xu, Vishal Patel

Unveiling the Hidden: Online Vectorized HD Map Construction with Clip-Level Token Interaction and Propagation

#1511 · Nayeon Kim, Hongje Seong, Daehyun Ji, Sujin Jang

Zero-shot Image Editing with Reference Imitation

#1600 · Xi Chen, Yutong Feng, Mengting Chen, Yiyang Wang, Shilong Zhang, Yu Liu, Yujun Shen, Hengshuang Zhao

DiMSUM: Diffusion Mamba - A Scalable and Unified Spatial-Frequency Method for Image Generation

#1601 · Hao Phung, Quan Dao, Trung Dao, Viet Hoang Phan, Dimitris Metaxas, Anh Tran

SHMT: Self-supervised Hierarchical Makeup Transfer via Latent Diffusion Models

#1602 · Zhaoyang Sun, Shengwu Xiong, Yaxiong Chen, Fei Du, Weihua Chen, Fan Wang, Yi Rong

UDPM: Upsampling Diffusion Probabilistic Models

#1603 · Shady Abu-Hussein, Raja Giryes

Rethinking The Training And Evaluation of Rich-Context Layout-to-Image Generation

#1604 · Jiaxin Cheng, ZIXU ZHAO, Tong He, Tianjun Xiao, Yicong Zhou, Zheng Zhang

Unlocking the Capabilities of Masked Generative Models for Image Synthesis via Self-Guidance

#1605 · Jiwan Hur, DongJae Lee, Gyojin Han, Jaehyun Choi, Yunho Jeon, Junmo Kim

Learning Action and Reasoning-Centric Image Editing from Videos and Simulation

#1606 · Benno Krojer, Dheeraj Vattikonda, Luis Lara, Varun Jampani, Eva Portelance, Chris Pal, Siva Reddy

START: A Generalized State Space Model with Saliency-Driven Token-Aware Transformation

#1607 · Jintao Guo, Lei Qi, Yinghuan Shi, Yang Gao

AWT: Transferring Vision-Language Models via Augmentation, Weighting, and Transportation

#1608 · Yuhan Zhu, Yuyang Ji, Zhiyu Zhao, Gangshan Wu, Limin Wang

Improving Visual Prompt Tuning by Gaussian Neighborhood Minimization for Long-Tailed Visual Recognition

#1609 · Mengke Li, Ye Liu, Yang Lu, Yiqun Zhang, Yiu-ming Cheung, Hui Huang

Reproducibility study of “LICO: Explainable Models with Language-Image Consistency"

#1610 · Luan Fletcher, Robert van der Klis, Martin Sedlacek, Stefan Vasilev, Christos Athanasiadis

SeeClear: Semantic Distillation Enhances Pixel Condensation for Video Super-Resolution

#1611 · Qi Tang, Yao Zhao, Meiqin Liu, Chao Yao

FashionR2R: Texture-preserving Rendered-to-Real Image Translation with Diffusion Models

#1700 · Rui Hu, Qian He, Gaofeng He, Jiedong Zhuang, Huang Chen, Huafeng Liu, Huamin Wang

pcaGAN: Improving Posterior-Sampling cGANs via Principal Component Regularization

#1701 · Matthew Bendel, Rizwan Ahmad, Philip Schniter

IF-Font: Ideographic Description Sequence-Following Font Generation

#1702 · Xinping Chen, Xiao Ke, Wenzhong Guo

FasterDiT: Towards Faster Diffusion Transformers Training without Architecture Modification

#1703 · JINGFENG YAO, Cheng Wang, Wenyu Liu, Xinggang Wang

ReFIR: Grounding Large Restoration Models with Retrieval Augmentation

#1704 · Hang Guo, Tao Dai, Zhihao Ouyang, Taolin Zhang, Yaohua Zha, Bin Chen, Shu-Tao Xia

HairFastGAN: Realistic and Robust Hair Transfer with a Fast Encoder-Based Approach

#1705 · Maxim Nikolaev, Mikhail Kuznetsov, Dmitry Vetrov, Aibek Alanov

Leveraging Hallucinations to Reduce Manual Prompt Dependency in Promptable Segmentation

#1706 · Jian Hu, Jiayi Lin, Junchi Yan, Shaogang Gong

OMG-LLaVA: Bridging Image-level, Object-level, Pixel-level Reasoning and Understanding

#1707 · Tao Zhang, Xiangtai Li, Hao Fei, Haobo Yuan, Shengqiong Wu, Shunping Ji, Chen Change Loy, Shuicheng Yan

One Token to Seg Them All: Language Instructed Reasoning Segmentation in Videos

#1708 · Zechen Bai, Tong He, Haiyang Mei, Pichao WANG, Ziteng Gao, Joya Chen, liulei, Zheng Zhang, Mike Zheng Shou

Automated Label Unification for Multi-Dataset Semantic Segmentation with GNNs

#1709 · Ma Rong, Jie Chen, Xiangyang Xue, Jian Pu

LESS: Label-Efficient and Single-Stage Referring 3D Segmentation

#1710 · Xuexun Liu, Xiaoxu Xu, Jinlong Li, Qiudan Zhang, Xu Wang, Nicu Sebe, Lin Ma

Towards Flexible Visual Relationship Segmentation

#1711 · Fangrui Zhu, Jianwei Yang, Huaizu Jiang

ShareGPT4Video: Improving Video Understanding and Generation with Better Captions

#1800 · Lin Chen, Xilin Wei, Jinsong Li, Xiaoyi Dong, Pan Zhang, Yuhang Zang, Zehui Chen, Haodong Duan, lin bin, Zhenyu Tang, Li Yuan, Yu Qiao, Dahua Lin, Feng Zhao, Jiaqi Wang

ActAnywhere: Subject-Aware Video Background Generation

#1801 · Boxiao Pan, Zhan Xu, Chun-Hao Huang, Krishna Kumar Singh, Yang Zhou, Leonidas Guibas, Jimei Yang

NaRCan: Natural Refined Canonical Image with Integration of Diffusion Prior for Video Editing

#1802 · Ting-Hsuan Chen, Jie Wen Chan, Hau-Shiang Shiu, Shih-Han Yen, Changhan Yeh, Yu-Lun Liu

Collaborative Video Diffusion: Consistent Multi-video Generation with Camera Control

#1803 · Zhengfei Kuang, Shengqu Cai, Hao He, Yinghao Xu, Hongsheng Li, Leonidas Guibas, Gordon Wetzstein

4Real: Towards Photorealistic 4D Scene Generation via Video Diffusion Models

#1804 · Heng Yu, Chaoyang Wang, Peiye Zhuang, Willi Menapace, Aliaksandr Siarohin, Junli Cao, László Jeni, Sergey Tulyakov, Hsin-Ying Lee

COVE: Unleashing the Diffusion Feature Correspondence for Consistent Video Editing

#1805 · Jiangshan Wang, Yue Ma, Jiayi Guo, Yicheng Xiao, Gao Huang, Xiu Li

X-Ray: A Sequential 3D Representation For Generation

#1806 · Tao Hu, Wenhang Ge, Yuyang Zhao, Gim Hee Lee

MotionBooth: Motion-Aware Customized Text-to-Video Generation

#1807 · Jianzong Wu, Xiangtai Li, Yanhong Zeng, Jiangning Zhang, Qianyu Zhou, Yining Li, Yunhai Tong, Kai Chen

LRM-Zero: Training Large Reconstruction Models with Synthesized Data

#1808 · Desai Xie, Sai Bi, Zhixin Shu, Kai Zhang, Zexiang Xu, Yi Zhou, Soeren Pirk, Arie Kaufman, Xin Sun, Hao Tan

XMask3D: Cross-modal Mask Reasoning for Open Vocabulary 3D Semantic Segmentation

#1809 · Ziyi Wang, Yanbo Wang, Xumin Yu, Jie Zhou, Jiwen Lu

A Surprisingly Simple Approach to Generalized Few-Shot Semantic Segmentation

#1810 · Tomoya Sakai, Haoxiang Qiu, Takayuki Katsuki, Daiki Kimura, Takayuki Osogami, Tadanobu Inoue

AdaPKC: PeakConv with Adaptive Peak Receptive Field for Radar Semantic Segmentation

#1811 · Teng Li, Liwen Zhang, Youcheng Zhang, ZijunHu, Pengcheng Pi, Zongqing Lu, Qingmin Liao, Zhe Ma

E.T. Bench: Towards Open-Ended Event-Level Video-Language Understanding

#1900 · Ye Liu, Zongyang Ma, Zhongang Qi, Yang Wu, Ying Shan, Chang Chen

A Motion-aware Spatio-temporal Graph for Video Salient Object Ranking

#1901 · Hao Chen, Zhu Yufei, Yongjian Deng

Towards Multi-Domain Learning for Generalizable Video Anomaly Detection

#1902 · MyeongAh Cho, Taeoh Kim, Minho Shim, Dongyoon Wee, Sangyoun Lee

No "Zero-Shot" Without Exponential Data: Pretraining Concept Frequency Determines Multimodal Model Performance

#1903 · Vishaal Udandarao, Ameya Prabhu, Adhiraj Ghosh, Yash Sharma, Philip Torr, Adel Bibi, Samuel Albanie, Matthias Bethge

REDUCR: Robust Data Downsampling using Class Priority Reweighting

#1904 · William Bankes, George Hughes, Ilija Bogunovic, Zi Wang

Data Acquisition via Experimental Design for Data Markets

#1905 · Charles Lu, Baihe Huang, Sai Praneeth Karimireddy, Praneeth Vepakomma, Michael Jordan, Ramesh Raskar

Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts

#1906 · Mikayel Samvelyan, Sharath Chandra Raparthy, Andrei Lupu, Eric Hambro, Aram Markosyan, Manish Bhatt, Yuning Mao, Minqi Jiang, Jack Parker-Holder, Jakob Foerster, Tim Rocktäschel, Roberta Raileanu

TabEBM: A Tabular Data Augmentation Method with Distinct Class-Specific Energy-Based Models

#1907 · Andrei Margeloiu, Xiangjian Jiang, Nikola Simidjievski, Mateja Jamnik

Algorithmic progress in language models

#1908 · Wing Hin Anson Ho, Tamay Besiroglu, Ege Erdil, Zifan Guo, David Owen, Robi Rahman, David Atkinson, Neil Thompson, Jaime Sevilla

Optimal and Approximate Adaptive Stochastic Quantization

#1909 · Ran Ben-Basat, Yaniv Ben-Itzhak, Michael Mitzenmacher, Shay Vargaftik

Improving robustness to corruptions with multiplicative weight perturbations

#1910 · Quoc Trung Trinh, Markus Heinonen, Luigi Acerbi, Samuel Kaski

Credal Deep Ensembles for Uncertainty Quantification

#1911 · Kaizheng Wang, Fabio Cuzzolin, Shireen Kudukkil Manchingal -, Keivan Shariatmadar, David Moens, Hans Hallez

Understanding the Differences in Foundation Models: Attention, State Space Models, and Recurrent Neural Networks

#2000 · Jerome Sieber, Carmen Amo Alonso, Alexandre Didier, Melanie Zeilinger, Antonio Orvieto

Do LLMs dream of elephants (when told not to)? Latent concept association and associative memory in transformers

#2001 · Yibo Jiang, Goutham Rajendran, Pradeep Ravikumar, Bryon Aragam

Single Image Reflection Separation via Dual-Stream Interactive Transformers

#2002 · Qiming Hu, Hainuo Wang, Xiaojie Guo

Infinite-Dimensional Feature Interaction

#2003 · Chenhui Xu, FUXUN YU, Maoliang Li, Zihao Zheng, Zirui Xu, Jinjun Xiong, Xiang Chen

DropBP: Accelerating Fine-Tuning of Large Language Models by Dropping Backward Propagation

#2004 · Sunghyeon Woo, Baeseong Park, Byeongwook Kim, Minjung Jo, Se Jung Kwon, Dongsuk Jeon, Dongsoo Lee

3-in-1: 2D Rotary Adaptation for Efficient Finetuning, Efficient Batching and Composability

#2005 · Baohao Liao, Christof Monz

A Layer-Wise Natural Gradient Optimizer for Training Deep Neural Networks

#2006 · Xiaolei Liu, Shaoshuai Li, Kaixin Gao, Binfeng Wang

Neglected Hessian component explains mysteries in sharpness regularization

#2007 · Yann Dauphin, Atish Agarwala, Hossein Mobahi

Learning 3D Equivariant Implicit Function with Patch-Level Pose-Invariant Representation

#2008 · Xin Hu, Xiaole Tang, Ruixuan Yu, Jian Sun

Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations

#2009 · Alex Hägele, Elie Bakouch, Atli Kosson, Loubna Ben allal, Leandro Von Werra, Martin Jaggi

Building on Efficient Foundations: Effective Training of LLMs with Structured Feedforward Layers

#2010 · Xiuying Wei, Skander Moalla, Razvan Pascanu, Caglar Gulcehre

Spectral Adapter: Fine-Tuning in Spectral Space

#2011 · Fangzhao Zhang, Mert Pilanci

Linear Transformers are Versatile In-Context Learners

#2100 · Max Vladymyrov, Johannes von Oswald, Mark Sandler, Rong Ge

KV Cache is 1 Bit Per Channel: Efficient Large Language Model Inference with Coupled Quantization

#2101 · Tianyi Zhang, Jonah Yi, Zhaozhuo Xu, Anshumali Shrivastava

FlashAttention-3: Fast and Accurate Attention with Asynchrony and Low-precision

#2102 · Jay Shah, Ganesh Bikshandi, Ying Zhang, Vijay Thakkar, Pradeep Ramani, Tri Dao

Mobility-LLM: Learning Visiting Intentions and Travel Preference from Human Mobility Data with Large Language Models

#2103 · Letian Gong, Yan Lin, Xinyue Zhang, Yiwen Lu, Xuedi Han, Yichen Liu, Shengnan Guo, Youfang Lin, Huaiyu Wan

Learning symmetries via weight-sharing with doubly stochastic tensors

#2104 · Putri van der Linden, Alejandro García-Castellanos, Sharvaree Vadgama, Thijs Kuipers, Erik Bekkers

Bootstrapping Top-down Information for Self-modulating Slot Attention

#2105 · Dongwon Kim, Seoyeon Kim, Suha Kwak

Compositional Automata Embeddings for Goal-Conditioned Reinforcement Learning

#2106 · Beyazit Yalcinkaya, Niklas Lauffer, Marcell Vazquez-Chanlatte, Sanjit Seshia

Preventing Model Collapse in Deep Canonical Correlation Analysis by Noise Regularization

#2107 · Junlin He, Jinxiao Du, Susu Xu, Wei Ma

Algebraic Positional Encodings

#2108 · Konstantinos Kogkalidis, Jean-Philippe Bernardy, Vikas Garg

TripletCLIP: Improving Compositional Reasoning of CLIP via Synthetic Vision-Language Negatives

#2109 · Maitreya Patel, Naga Sai Abhiram Kusumba, Sheng Cheng, Changhoon Kim, Tejas Gokhale, Chitta Baral, 'YZ' Yezhou Yang

VMamba: Visual State Space Model

#2110 · Yue Liu, Yunjie Tian, Yuzhong Zhao, Hongtian Yu, Lingxi Xie, Yaowei Wang, Qixiang Ye, Jianbin Jiao, Yunfan Liu

Decoupled Kullback-Leibler Divergence Loss

#2111 · Jiequan Cui, Zhuotao Tian, Zhisheng Zhong, Xiaojuan Qi, Bei Yu, Hanwang Zhang

SAM-Guided Masked Token Prediction for 3D Scene Understanding

#2200 · Zhimin Chen, Liang Yang, Yingwei Li, Longlong Jing, Bing Li

Transferable Adversarial Attacks on SAM and Its Downstream Models

#2201 · Song Xia, Wenhan Yang, Yi Yu, Xun Lin, Henghui Ding, LINGYU DUAN, Xudong Jiang

Constructing Semantics-Aware Adversarial Examples with Probabilistic Perspective

#2202 · Andi Zhang, Mingtian Zhang, Damon Wischik

Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models

#2203 · Kaican Li, Weiyan XIE, Yongxiang Huang, Didan Deng, Lanqing Hong, Zhenguo Li, Ricardo Silva, Nevin L. Zhang

Certified Robustness for Deep Equilibrium Models via Serialized Random Smoothing

#2204 · Weizhi Gao, Zhichao Hou, Han Xu, Xiaorui Liu

Adaptive Randomized Smoothing: Certified Adversarial Robustness for Multi-Step Defences

#2205 · Saiyue Lyu, Shadab Shaikh, Frederick Shpilevskiy, Evan Shelhamer, Mathias Lécuyer

Scalable Neural Network Verification with Branch-and-bound Inferred Cutting Planes

#2206 · Duo Zhou, Christopher Brix, Grani A. Hanasusanto, Huan Zhang

Can Language Models Perform Robust Reasoning in Chain-of-thought Prompting with Noisy Rationales?

#2207 · Zhanke Zhou, Rong Tao, Jianing Zhu, Yiwen Luo, Zengmao Wang, Bo Han

Coded Computing for Resilient Distributed Computing: A Learning-Theoretic Framework

#2208 · Parsa Moradi, Behrooz Tahmasebi, Mohammad Maddah-Ali

A teacher-teacher framework for clinical language representation learning

#2209 · Feiqing Huang, Shenghan Zhang, Sara Sweet, Tianxi Cai

Learning diverse causally emergent representations from time series data

#2210 · David McSharry, Christos Kaplanis, Fernando Rosas, Pedro A.M Mediano

Vision Model Pre-training on Interleaved Image-Text Data via Latent Compression Learning

#2211 · CHENYU YANG, Xizhou Zhu, Jinguo Zhu, Weijie Su, Junjie Wang, Xuan Dong, Wenhai Wang, Bin Li, Jie Zhou, Yu Qiao, Jifeng Dai

Understanding Transformer Reasoning Capabilities via Graph Algorithms

#2300 · Clayton Sanford, Bahare Fatemi, Ethan Hall, Anton Tsitsulin, Mehran Kazemi, Jonathan Halcrow, Bryan Perozzi, Vahab Mirrokni

Task Confusion and Catastrophic Forgetting in Class-Incremental Learning: A Mathematical Framework for Discriminative and Generative Modelings

#2301 · Milad Khademi Nori, Il-Min Kim

How does Gradient Descent Learn Features --- A Local Analysis for Regularized Two-Layer Neural Networks

#2302 · Mo Zhou, Rong Ge

Large Stepsize Gradient Descent for Non-Homogeneous Two-Layer Networks: Margin Improvement and Fast Optimization

#2303 · Yuhang Cai, Jingfeng Wu, Song Mei, Michael Lindsey, Peter Bartlett

GACL: Exemplar-Free Generalized Analytic Continual Learning

#2304 · HUIPING ZHUANG, Yizhu Chen, Di Fang, Run He, Kai Tong, Hongxin Wei, Ziqian Zeng, Cen Chen

Transformers are Minimax Optimal Nonparametric In-Context Learners

#2305 · Juno Kim, Tai Nakamaki, Taiji Suzuki

On the Saturation Effects of Spectral Algorithms in Large Dimensions

#2306 · Weihao Lu, haobo Zhang, Yicheng Li, Qian Lin

Precise asymptotics of reweighted least-squares algorithms for linear diagonal networks

#2307 · Chiraag Kaushik, Justin Romberg, Vidya Muthukumar

Watch Out for Your Agents! Investigating Backdoor Threats to LLM-Based Agents

#2308 · Wenkai Yang, Xiaohan Bi, Yankai Lin, Sishuo Chen, Jie Zhou, Xu Sun

Guiding Neural Collapse: Optimising Towards the Nearest Simplex Equiangular Tight Frame

#2309 · Evan Markou, Thalaiyasingam Ajanthan, Stephen Gould

What makes unlearning hard and what to do about it

#2310 · KAIRAN ZHAO, Meghdad Kurmanji, George-Octavian Bărbulescu, Eleni Triantafillou, Peter Triantafillou

Toward a Well-Calibrated Discrimination via Survival Outcome-Aware Contrastive Learning

#2311 · Dongjoon Lee, Hyeryn Park, Changhee Lee

ZipCache: Accurate and Efficient KV Cache Quantization with Salient Token Identification

#2400 · Yefei He, Luoming Zhang, Weijia Wu, Jing Liu, Hong Zhou, Bohan Zhuang

Categorical Flow Matching on Statistical Manifolds

#2401 · Chaoran Cheng, Jiahan Li, Jian Peng, Ge Liu

Invariant Tokenization of Crystalline Materials for Language Model Enabled Generation

#2402 · Keqiang Yan, Xiner Li, Hongyi Ling, Kenna Ashen, Carl Edwards, Raymundo Arroyave, Marinka Zitnik, Heng Ji, Xiaofeng Qian, Xiaoning Qian, Shuiwang Ji

Stress-Testing Capability Elicitation With Password-Locked Models

#2403 · Ryan Greenblatt, Fabien Roger, Dmitrii Krasheninnikov, David Krueger

Hierarchical Selective Classification

#2404 · Shani Goren, Ido Galil, Ran El-Yaniv

Learning Infinitesimal Generators of Continuous Symmetries from Data

#2405 · Gyeonghoon Ko, Hyunsu Kim, Juho Lee

AdvAD: Exploring Non-Parametric Diffusion for Imperceptible Adversarial Attacks

#2406 · Jin Li, Ziqiang He, Anwei Luo, Jian-Fang Hu, Z. Jane Wang, Xiangui Kang

The Empirical Impact of Neural Parameter Symmetries, or Lack Thereof

#2407 · Derek Lim, Theo Putterman, Robin Walters, Haggai Maron, Stefanie Jegelka

SS1: Accelerating Inference with Fast and Expressive Sketch Structured Transform

#2408 · Aditya Desai, Kimia Saedi, Apoorv Walia, Jihyeong Lee, Keren Zhou, Anshumali Shrivastava

CODA: A Correlation-Oriented Disentanglement and Augmentation Modeling Scheme for Better Resisting Subpopulation Shifts

#2409 · Ziquan OU, Zijun Zhang

Spiking Token Mixer: A event-driven friendly Former structure for spiking neural networks

#2410 · Shikuang Deng, Yuhang Wu, KANGRUI DU, Shi Gu

Acoustic Volume Rendering for Neural Impulse Response Fields

#2411 · Zitong Lan, Chenhao Zheng, Zhiwei Zheng, Mingmin Zhao

SceneCraft: Layout-Guided 3D Scene Generation

#2500 · Xiuyu Yang, Yunze Man, Junkun Chen, Yu-Xiong Wang

Towards a Scalable Reference-Free Evaluation of Generative Models

#2501 · Azim Ospanov, Jingwei Zhang, Mohammad Jalali, Xuenan Cao, Andrej Bogdanov, Farzan Farnia

Image Reconstruction Via Autoencoding Sequential Deep Image Prior

#2502 · Ismail Alkhouri, Shijun Liang, Evan Bell, Qing Qu, Rongrong Wang, Saiprasad Ravishankar

B'MOJO: Hybrid State Space Realizations of Foundation Models with Eidetic and Fading Memory

#2503 · Luca Zancato, Arjun Seshadri, Yonatan Dukler, Aditya Sharad Golatkar, Yantao Shen, Benjamin Bowman, Matthew Trager, Alessandro Achille, Stefano Soatto

Fundamental Limits of Prompt Compression: A Rate-Distortion Framework for Black-Box Language Models

#2504 · Alliot Nagle, Adway Girish, Marco Bondaschi, Michael Gastpar, Ashok Vardhan Makkuva, Hyeji Kim

A Decision-Language Model (DLM) for Dynamic Restless Multi-Armed Bandit Tasks in Public Health

#2505 · Nikhil Behari, Edwin Zhang, YUNFAN ZHAO, Aparna Taneja, Dheeraj Nagaraj, Milind Tambe

Stability and Generalizability in SDE Diffusion Models with Measure-Preserving Dynamics

#2506 · Weitong Zhang, Chengqi Zang, Liu Li, Sarah Cechnicka, Cheng Ouyang, Bernhard Kainz

Absorb & Escape: Overcoming Single Model Limitations in Generating Heterogeneous Genomic Sequences

#2507 · Zehui Li, Yuhao Ni, Guoxuan Xia, William Beardall, Akashaditya Das, Guy-Bart Stan, Yiren Zhao

Synergistic Dual Spatial-aware Generation of Image-to-text and Text-to-image

#2508 · Yu Zhao, Hao Fei, Xiangtai Li, Libo Qin, Jiayi Ji, Hongyuan Zhu, Meishan Zhang, Min Zhang, Jianguo Wei

ET-Flow: Equivariant Flow-Matching for Molecular Conformer Generation

#2509 · Majdi Hassan, Nikhil Shenoy, Jungyoon Lee, Hannes Stärk, Stephan Thaler, Dominique Beaini

Self-Consuming Generative Models with Curated Data Provably Optimize Human Preferences

#2510 · Damien Ferbach, Quentin Bertrand, Joey Bose, Gauthier Gidel

Classification Diffusion Models: Revitalizing Density Ratio Estimation

#2511 · Shahar Yadin, Noam Elata, Tomer Michaeli

Equivariant Blurring Diffusion for Hierarchical Molecular Conformer Generation

#2600 · Jiwoong Park, Yang Shen

Evaluating the design space of diffusion-based generative models

#2601 · Yuqing Wang, Ye He, Molei Tao

Learning Diffusion Priors from Observations by Expectation Maximization

#2602 · François Rozet, Gerome Andry, Francois Lanusse, Gilles Louppe

DiffGS: Functional Gaussian Splatting Diffusion

#2603 · Junsheng Zhou, Weiqi Zhang, Yu-Shen Liu

A2PO: Towards Effective Offline Reinforcement Learning from an Advantage-aware Perspective

#2604 · Yunpeng Qing, Shunyu Liu, Jingyuan Cong, Kaixuan Chen, Yihe Zhou, Mingli Song

SyncTweedies: A General Generative Framework Based on Synchronized Diffusions

#2605 · Jaihoon Kim, Juil Koo, Kyeongmin Yeo, Minhyuk Sung

VidProM: A Million-scale Real Prompt-Gallery Dataset for Text-to-Video Diffusion Models

#2606 · Wenhao Wang, Yi Yang

Local Curvature Smoothing with Stein's Identity for Efficient Score Matching

#2607 · GENKI OSADA, Makoto Shing, Takashi Nishide

Energy-Based Modelling for Discrete and Mixed Data via Heat Equations on Structured Spaces

#2608 · Tobias Schröder, Zijing Ou, Yingzhen Li, Andrew Duncan

Reversing the Forget-Retain Objectives: An Efficient LLM Unlearning Framework from Logit Difference

#2609 · Jiabao Ji, Yujian Liu, Yang Zhang, Gaowen Liu, Ramana Kompella, Sijia Liu, Shiyu Chang

DeepDRK: Deep Dependency Regularized Knockoff for Feature Selection

#2610 · Hongyu Shen, Yici Yan, Zhizhen Jane Zhao

Theoretical guarantees in KL for Diffusion Flow Matching

#2611 · Marta Gentiloni Silveri, Alain Durmus, Giovanni Conforti

Generative Fractional Diffusion Models

#2700 · Gabriel Nobis, Maximilian Springenberg, Marco Aversa, Michael Detzel, Rembert Daems, Roderick Murray-Smith, Shinichi Nakajima, Sebastian Lapuschkin, Stefano Ermon, Tolga Birdal, Manfred Opper, Christoph Knochenhauer, Luis Oala, Wojciech Samek

Model-based Diffusion for Trajectory Optimization

#2701 · Chaoyi Pan, Zeji Yi, Guanya Shi, Guannan Qu

Constrained Diffusion Models via Dual Training

#2702 · Shervin Khalafi, Dongsheng Ding, Alejandro Ribeiro

Diffusion of Thought: Chain-of-Thought Reasoning in Diffusion Language Models

#2703 · Jiacheng Ye, Shansan Gong, Liheng Chen, Lin Zheng, Jiahui Gao, Han Shi, Chuan Wu, Xin Jiang, Zhenguo Li, Wei Bi, Lingpeng Kong

Learning Image Priors Through Patch-Based Diffusion Models for Solving Inverse Problems

#2704 · Jason Hu, Bowen Song, Xiaojian Xu, Liyue Shen, Jeffrey Fessler

Resfusion: Denoising Diffusion Probabilistic Models for Image Restoration Based on Prior Residual Noise

#2705 · Zhenning Shi, haoshuai zheng, Chen Xu, Changsheng Dong, Bin Pan, Xie xueshuo, Along He, Tao Li, Huazhu Fu

DiffuPac: Contextual Mimicry in Adversarial Packets Generation via Diffusion Model

#2706 · Abdullah Bin Jasni, Akiko Manada, Kohei Watabe

Warped Diffusion: Solving Video Inverse Problems with Image Diffusion Models

#2707 · Giannis Daras, Weili Nie, Karsten Kreis, Alex Dimakis, Morteza Mardani, Nikola Kovachki, Arash Vahdat

Neural Residual Diffusion Models for Deep Scalable Vision Generation

#2708 · Zhiyuan Ma, Liangliang Zhao, Biqing Qi, Bowen Zhou

Taming Generative Diffusion Prior for Universal Blind Image Restoration

#2709 · Siwei Tu, Weidong Yang, Ben Fei

Hollowed Net for On-Device Personalization of Text-to-Image Diffusion Models

#2710 · Wonguk Cho, Seokeon Choi, Debasmit Das, Matthias Reisser, Taesup Kim, Sungrack Yun, Fatih Porikli

Your Diffusion Model is Secretly a Noise Classifier and Benefits from Contrastive Training

#2711 · Yunshu Wu, Yingtao Luo, Xianghao Kong, Vagelis Papalexakis, Greg Ver Steeg

Towards Understanding How Transformers Learn In-context Through a Representation Learning Lens

#2800 · Ruifeng Ren, Yong Liu

Where does In-context Learning \\ Happen in Large Language Models?

#2801 · Suzanna Sia, David Mueller, Kevin Duh

Stress-Testing Long-Context Language Models with Lifelong ICL and Task Haystack

#2802 · Xiaoyue Xu, Qinyuan Ye, Xiang Ren

Remix-DiT: Mixing Diffusion Transformers for Multi-Expert Denoising

#2803 · Gongfan Fang, Xinyin Ma, Xinchao Wang

Coherent 3D Scene Diffusion From a Single RGB Image

#2804 · Manuel Dahnert, Angela Dai, Norman Müller, Matthias Niessner

PrefPaint: Aligning Image Inpainting Diffusion Model with Human Preference

#2805 · Kendong Liu, Zhiyu Zhu, Chuanhao Li, Hui LIU, Huanqiang Zeng, Junhui Hou

Attack-Resilient Image Watermarking Using Stable Diffusion

#2806 · Lijun Zhang, Xiao Liu, Antoni Martin, Cindy Bearfield, Yuriy Brun, Hui Guan

Subject-driven Text-to-Image Generation via Preference-based Reinforcement Learning

#2807 · Yanting Miao, William Loh, Suraj Kothawade, Pascal Poupart, Abdullah Rashwan, Yeqing Li

Understanding Generalizability of Diffusion Models Requires Rethinking the Hidden Gaussian Structure

#2808 · Xiang Li, Yixiang Dai, Qing Qu

Time-Varying LoRA: Towards Effective Cross-Domain Fine-Tuning of Diffusion Models

#2809 · Zhan Zhuang, Yulong Zhang, Xuehao Wang, Jiangang Lu, Ying Wei, Yu Zhang

4Diffusion: Multi-view Video Diffusion Model for 4D Generation

#2810 · Haiyu Zhang, Xinyuan Chen, Yaohui WANG, Xihui Liu, Yunhong Wang, Yu Qiao

ROBIN: Robust and Invisible Watermarks for Diffusion Models with Adversarial Optimization

#2811 · Huayang Huang, Yu Wu, Qian Wang

AutoGuide: Automated Generation and Selection of Context-Aware Guidelines for Large Language Model Agents

#2900 · Yao Fu, Dong-Ki Kim, Jaekyeom Kim, Sungryull Sohn, Lajanugen Logeswaran, Kyunghoon Bae, Honglak Lee

From Unstructured Data to In-Context Learning: Exploring What Tasks Can Be Learned and When

#2901 · Kevin Christian Wibisono, Yixin Wang

Accuracy is Not All You Need

#2902 · Abhinav Dutta, Sanjeev Krishnan, Nipun Kwatra, Ramachandran Ramjee

Efficient Contextual LLM Cascades through Budget-Constrained Policy Learning

#2903 · Xuechen Zhang, Zijian Huang, Ege Onur Taga, Carlee Joe-Wong, Samet Oymak, Jiasi Chen

Verified Code Transpilation with LLMs

#2904 · Sahil Bhatia, Jie Qiu, Niranjan Hasabnis, Sanjit Seshia, Alvin Cheung

Piecewise deterministic generative models

#2905 · Andrea Bertazzi, Dario Shariatian, Umut Simsekli, Eric Moulines, Alain Durmus

On the Identifiability of Hybrid Deep Generative Models: Meta-Learning as a Solution

#2906 · Yubo Ye, Maryam Tolou, Sumeet Vadhavkar, Xiajun Jiang, Huafeng Liu, Linwei Wang

Can LLMs Solve Molecule Puzzles? A Multimodal Benchmark for Molecular Structure Elucidation

#2907 · Kehan Guo, Bozhao Nan, Yujun Zhou, Taicheng Guo, Zhichun Guo, Mihir Surve, Zhenwen Liang, Nitesh Chawla, Olaf Wiest, Xiangliang Zhang

Humor in AI: Massive Scale Crowd-Sourced Preferences and Benchmarks for Cartoon Captioning

#2908 · Jifan Zhang, Lalit Jain, Yang Guo, Jiayi Chen, Kuan Zhou, Siddharth Suresh, Andrew Wagenmaker, Scott Sievert, Timothy T Rogers, Kevin Jamieson, Bob Mankoff, Robert Nowak

Multi-language Diversity Benefits Autoformalization

#2909 · Albert Q. Jiang, Wenda Li, Mateja Jamnik

SemCoder: Training Code Language Models with Comprehensive Semantics Reasoning

#2910 · Yangruibo Ding, Jinjun Peng, Marcus Min, Gail Kaiser, Junfeng Yang, Baishakhi Ray

Advancing Tool-Augmented Large Language Models: Integrating Insights from Errors in Inference Trees

#2911 · SIJIA CHEN, Yibo Wang, Yi-Feng Wu, Qingguo Chen, Zhao Xu, Weihua Luo, Kaifu Zhang, Lijun Zhang

What do Graph Neural Networks learn? Insights from Tropical Geometry

#3000 · Tuan Anh Pham, Vikas Garg

Graphcode: Learning from multiparameter persistent homology using graph neural networks

#3001 · Florian Russold, Michael Kerber

Deep Homomorphism Networks

#3002 · Takanori Maehara, Hoang NT

Spectral Graph Pruning Against Over-Squashing and Over-Smoothing

#3003 · Adarsh Jamadandi, Celia Rubio-Madrigal, Rebekka Burkholz

RAGraph: A General Retrieval-Augmented Graph Learning Framework

#3004 · Xinke Jiang, Rihong Qiu, Yongxin Xu, WentaoZhang, Yichen Zhu, Ruizhe Zhang, Yuchen Fang, Chu Xu, Junfeng Zhao, Yasha Wang

EGonc : Energy-based Open-Set Node Classification with substitute Unknowns

#3005 · Qin Zhang, Zelin Shi, Shirui Pan, Junyang Chen, Huisi Wu, Xiaojun Chen

Graph Neural Networks and Arithmetic Circuits

#3006 · Timon Barlag, Vivian Holzapfel, Laura Strieker, Jonni Virtema, Heribert Vollmer

[Re] GNNInterpreter: A probabilistic generative model-level explanation for Graph Neural Networks

#3007 · Batu Helvacioglu, Ana Vasilcoiu, Thijs Stessen, Thies Kersten

[Re] Reproducibility Study of “Explaining Temporal Graph Models Through an Explorer-Navigator Framework"

#3008 · Helia Ghasemi, Christina Isaicu, Jesse Wonnink, Andreas Berentzen

DAPE: Data-Adaptive Positional Encoding for Length Extrapolation

#3009 · Chuanyang Zheng, Yihang Gao, Han Shi, Minbin Huang, Jingyao Li, Jing Xiong, Xiaozhe Ren, Michael Ng, Xin Jiang, Zhenguo Li, Yu Li

Chain of Thoughtlessness? An Analysis of CoT in Planning

#3010 · Kaya Stechly, Karthik Valmeekam, Subbarao Kambhampati

AutoPSV: Automated Process-Supervised Verifier

#3011 · Jianqiao Lu, Zhiyang Dou, Hongru WANG, Zeyu Cao, Jianbo Dai, Yunlong Feng, Zhijiang Guo

Are Graph Neural Networks Optimal Approximation Algorithms?

#3100 · Morris Yau, Nikolaos Karalias, Eric Lu, Jessica Xu, Stefanie Jegelka

State Space Models on Temporal Graphs: A First-Principles Study

#3101 · Jintang Li, Ruofan Wu, Xinzhou Jin, Boqun Ma, Liang Chen, Zibin Zheng

Mixture of Link Predictors on Graphs

#3102 · Li Ma, Haoyu Han, Juanhui Li, Harry Shomer, Hui Liu, Xiaofeng Gao, Jiliang Tang

DiGRAF: Diffeomorphic Graph-Adaptive Activation Function

#3103 · Krishna Sri Ipsit Mantri, Xinzhi Wang, Carola-Bibiane Schönlieb, Bruno Ribeiro, Beatrice Bevilacqua, Moshe Eliasof

The Map Equation Goes Neural: Mapping Network Flows with Graph Neural Networks

#3104 · Christopher Blöcker, Chester Tan, Ingo Scholtes

Logical characterizations of recurrent graph neural networks with reals and floats

#3105 · Veeti Ahvonen, Damian Heiman, Antti Kuusisto, Carsten Lutz

Rethinking Reconstruction-based Graph-Level Anomaly Detection: Limitations and a Simple Remedy

#3106 · Sunwoo Kim, Soo Yong Lee, Fanchen Bu, Shinhwan Kang, Kyungho Kim, Jaemin Yoo, Kijung Shin

GraphTrail: Translating GNN Predictions into Human-Interpretable Logical Rules

#3107 · Burouj Armgaan, Manthan Dalmia, Sourav Medya, Sayan Ranu

Unitary Convolutions for Learning on Graphs and Groups

#3108 · Bobak Kiani, Lukas Fesser, Melanie Weber

Online Relational Inference for Evolving Multi-agent Interacting Systems

#3109 · Beomseok Kang, Priyabrata Saha, Sudarshan Sharma, Biswadeep Chakraborty, Saibal Mukhopadhyay

Graph Neural Networks Do Not Always Oversmooth

#3110 · Bastian Epping, Alexandre René, Moritz Helias, Michael T Schaub

Microstructures and Accuracy of Graph Recall by Large Language Models

#3111 · Yanbang Wang, Hejie Cui, Jon Kleinberg

Learning to grok: Emergence of in-context learning and skill composition in modular arithmetic tasks

#3200 · Tianyu He, Darshil Doshi, Aritra Das, Andrey Gromov

Initialization is Critical to Whether Transformers Fit Composite Functions by Reasoning or Memorizing

#3201 · Zhongwang Zhang, Pengxiao Lin, Zhiwei Wang, Yaoyu Zhang, Zhi-Qin Xu

Great Minds Think Alike: The Universal Convergence Trend of Input Salience

#3202 · Yipei Wang, Jeffrey Siskind, Xiaoqian Wang

Conditional Density Estimation with Histogram Trees

#3203 · Lincen Yang, Matthijs van Leeuwen

LLM Circuit Analyses Are Consistent Across Training and Scale

#3204 · Curt Tigges, Michael Hanna, Qinan Yu, Stella Biderman

DiReCT: Diagnostic Reasoning for Clinical Notes via Large Language Models

#3205 · Bowen Wang, Jiuyang Chang, Yiming Qian, Guoxin Chen, Junhao Chen, Zhouqiang Jiang, Jiahao Zhang, Yuta Nakashima, Hajime Nagahara

Towards Human-AI Complementarity with Prediction Sets

#3206 · Giovanni De Toni, Nastaran Okati, Suhas Thejaswi, Eleni Straitouri, Manuel Rodriguez

Human Expertise in Algorithmic Prediction

#3207 · Rohan Alur, Manish Raghavan, Devavrat Shah

RG-SAN: Rule-Guided Spatial Awareness Network for End-to-End 3D Referring Expression Segmentation

#3208 · Changli Wu, qi chen, Jiayi Ji, Haowei Wang, Yiwei Ma, You Huang, Gen Luo, Hao Fei, Xiaoshuai Sun, Rongrong Ji

Referring Human Pose and Mask Estimation In the Wild

#3209 · Bo Miao, Mingtao Feng, Zijie Wu, Mohammed Bennamoun, Yongsheng Gao, Ajmal Mian

Generative Semi-supervised Graph Anomaly Detection

#3210 · Hezhe Qiao, Qingsong Wen, Xiaoli Li, Ee-peng Lim, Guansong Pang

Iteratively Refined Early Interaction Alignment for Subgraph Matching based Graph Retrieval

#3211 · Ashwin Ramachandran, Vaibhav Raj, Indradyumna Roy, Soumen Chakrabarti, Abir De

Denoising Diffusion Path: Attribution Noise Reduction with An Auxiliary Diffusion Model

#3300 · Yiming Lei, Zilong Li, Junping Zhang, Hongming Shan

Selective Explanations

#3301 · Lucas Monteiro Paes, Dennis Wei, Flavio Calmon

Interpretable Image Classification with Adaptive Prototype-based Vision Transformers

#3302 · Chiyu Ma, Jon Donnelly, Wenjun Liu, Soroush Vosoughi, Cynthia Rudin, Chaofan Chen

The Representation Landscape of Few-Shot Learning and Fine-Tuning in Large Language Models

#3303 · Diego Doimo, Alessandro Serra, Alessio Ansuini, Alberto Cazzaniga

Model LEGO: Creating Models Like Disassembling and Assembling Building Blocks

#3304 · Jiacong Hu, Jing Gao, Jingwen Ye, Yang Gao, Xingen Wang, Zunlei Feng, Mingli Song

Refusal in Language Models Is Mediated by a Single Direction

#3305 · Andy Arditi, Oscar Obeso, Aaquib Syed, Daniel Paleka, Nina Panickssery, Wes Gurnee, Neel Nanda

Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models

#3306 · Ling Yang, Zhaochen Yu, Tianjun Zhang, Shiyi Cao, Minkai Xu, Wentao Zhang, Joseph Gonzalez, Bin CUI

Accelerating Greedy Coordinate Gradient and General Prompt Optimization via Probe Sampling

#3307 · Yiran Zhao, Wenyue Zheng, Tianle Cai, Do Xuan Long, Kenji Kawaguchi, Anirudh Goyal, Michael Qizhe Shieh

SafeWorld: Geo-Diverse Safety Alignment

#3308 · Da Yin, Haoyi Qiu, Kung-Hsiang Huang, Kai-Wei Chang, Nanyun Peng

Weak-eval-Strong: Evaluating and Eliciting Lateral Thinking of LLMs with Situation Puzzles

#3309 · Qi Chen, Bowen Zhang, Gang Wang, Qi Wu

Semantics and Spatiality of Emergent Communication

#3310 · Rotem Ben Zion, Boaz Carmeli, Orr Paradise, Yonatan Belinkov

Dataset Decomposition: Faster LLM Training with Variable Sequence Length Curriculum

#3311 · Hadi Pouransari, Chun-Liang Li, Jen-Hao Chang, Pavan Kumar Anasosalu Vasu, Cem Koc, Vaishaal Shankar, Oncel Tuzel

Fast Tree-Field Integrators: From Low Displacement Rank to Topological Transformers

#3400 · Krzysztof M Choromanski, Arijit Sehanobish, Somnath Basu Roy Chowdhury, Han Lin, Kumar Avinava Dubey, Tamas Sarlos, Snigdha Chaturvedi

Neuc-MDS: Non-Euclidean Multidimensional Scaling Through Bilinear Forms

#3401 · Chengyuan Deng, Jie Gao, Kevin Lu, Feng Luo, Hongbin Sun, Cheng Xin

LoRANN: Low-Rank Matrix Factorization for Approximate Nearest Neighbor Search

#3402 · Elias Jääsaari, Ville Hyvönen, Teemu Roos

Paralinguistics-Aware Speech-Empowered Large Language Models for Natural Conversation

#3403 · Heeseung Kim, Soonshin Seo, Kyeongseok Jeong, Ohsung Kwon, Soyoon Kim, Jungwhan Kim, Jaehong Lee, Eunwoo Song, Myungwoo Oh, Jung-Woo Ha, Sungroh Yoon, Kang Min Yoo

Separate and Reconstruct: Asymmetric Encoder-Decoder for Speech Separation

#3404 · Ui-Hyeop Shin, Sangyoun Lee, Taehan Kim, Hyung-Min Park

Text2NKG: Fine-Grained N-ary Relation Extraction for N-ary relational Knowledge Graph Construction

#3405 · Haoran Luo, Haihong E, Yuhao Yang, Tianyu Yao, Yikai Guo, Zichen Tang, Wentai Zhang, Shiyao Peng, Kaiyang Wan, Meina Song, Wei Lin, Yifan Zhu, Anh Tuan Luu

Aligning to Thousands of Preferences via System Message Generalization

#3406 · Seongyun Lee, Sue Hyun Park, Seungone Kim, Minjoon Seo

ContextCite: Attributing Model Generation to Context

#3407 · Benjamin Cohen-Wang, Harshay Shah, Kristian Georgiev, Aleksander Madry

To Believe or Not to Believe Your LLM: IterativePrompting for Estimating Epistemic Uncertainty

#3408 · Yasin Abbasi Yadkori, Ilja Kuzborskij, András György, Csaba Szepesvari

LLM-Check: Investigating Detection of Hallucinations in Large Language Models

#3409 · Gaurang Sriramanan, Siddhant Bharti, Vinu Sankar Sadasivan, Shoumik Saha, Priyatham Kattakinda, Soheil Feizi

Large language model validity via enhanced conformal prediction methods

#3410 · John Cherian, Isaac Gibbs, Emmanuel Candes

Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies

#3411 · Chaofan Tao, Qian Liu, Longxu Dou, Niklas Muennighoff, Zhongwei Wan, Ping Luo, Min Lin, Ngai Wong

Automatically Learning Hybrid Digital Twins of Dynamical Systems

#3500 · Samuel Holt, Tennison Liu, Mihaela van der Schaar

Revealing Distribution Discrepancy by Sampling Transfer in Unlabeled Data

#3501 · Zhilin Zhao, Longbing Cao, Xuhui Fan, Wei-Shi Zheng

Scalable DBSCAN with Random Projections

#3502 · HaoChuan Xu, Ninh Pham

Searching for Efficient Linear Layers over a Continuous Space of Structured Matrices

#3503 · Andres Potapczynski, Shikai Qiu, Marc Finzi, Christopher Ferri, Charlie Chen, Micah Goldblum, C. Bayan Bruss, Christopher De Sa, Andrew Wilson

Diffeomorphic interpolation for efficient persistence-based topological optimization

#3504 · Mathieu Carrière, Marc Theveneau, Théo Lacombe

Supervised Kernel Thinning

#3505 · Albert Gong, Kyuseong Choi, Raaz Dwivedi

Density-based User Representation using Gaussian Process Regression for Multi-interest Personalized Retrieval

#3506 · Haolun Wu, Ofer Meshi, Masrour Zoghi, Fernando Diaz, Xue (Steve) Liu, Craig Boutilier, Maryam Karimzadehgan

Neuronal Competition Groups with Supervised STDP for Spike-Based Classification

#3507 · Gaspard Goupy, Pierre Tirilly, Ioan Marius Bilasco

Quantifying the Gain in Weak-to-Strong Generalization

#3508 · Moses Charikar, Chirag Pabbaraju, Kirankumar Shiragur

Meta-Exploiting Frequency Prior for Cross-Domain Few-Shot Learning

#3509 · Fei Zhou, Peng Wang, Lei Zhang, Zhenghua Chen, Wei Wei, Chen Ding, Guosheng Lin, Yanning Zhang

Twin-Merging: Dynamic Integration of Modular Expertise in Model Merging

#3510 · Zhenyi Lu, Chenghao Fan, Wei Wei, Xiaoye Qu, Dangyang Chen, Yu Cheng

A Metalearned Neural Circuit for Nonparametric Bayesian Inference

#3511 · Jake Snell, Gianluca Bencomo, Tom Griffiths

Zeroth-Order Sampling Methods for Non-Log-Concave Distributions: Alleviating Metastability by Denoising Diffusion

#3600 · Ye He, Kevin Rojas, Molei Tao

NaturalBench: Evaluating Vision-Language Models on Natural Adversarial Samples

#3601 · Baiqi Li, Zhiqiu Lin, WENXUAN PENG, Jean de Dieu Nyandwi, Daniel Jiang, Zixian Ma, Simran Khanuja, Ranjay Krishna, Graham Neubig, Deva Ramanan

Unified Domain Generalization and Adaptation for Multi-View 3D Object Detection

#3602 · Gyusam Chang, Jiwon Lee, Donghyun Kim, Jinkyu Kim, Dongwook Lee, Daehyun Ji, Sujin Jang, Sangpil Kim

(FL)$^2$: Overcoming Few Labels in Federated Semi-Supervised Learning

#3603 · Seungjoo Lee, Thanh-Long V. Le, Jaemin Shin, Sung-Ju Lee

QBB: Quantization with Binary Bases for LLMs

#3604 · Adrian Bulat, Yassine Ouali, Georgios Tzimiropoulos

On the cohesion and separability of average-link for hierarchical agglomerative clustering

#3605 · Eduardo Laber, Miguel Batista

Boosting Transferability and Discriminability for Time Series Domain Adaptation

#3606 · Mingyang Liu, Xinyang Chen, Yang Shu, Xiucheng Li, Weili Guan, Liqiang Nie

$\textit{Trans-LoRA}$: towards data-free Transferable Parameter Efficient Finetuning

#3607 · Runqian Wang, Soumya Ghosh, David Cox, Diego Antognini, Aude Oliva, Rogerio Feris, Leonid Karlinsky

Learning from Offline Foundation Features with Tensor Augmentations

#3608 · Emir Konuk, Christos Matsoukas, Moein Sorkhei, Phitchapha Lertsiravarameth, Kevin Smith

Learning Where to Edit Vision Transformers

#3609 · Yunqiao Yang, Long-Kai Huang, Shengzhuang Chen, Kede Ma, Ying Wei

Zero-Shot Transfer of Neural ODEs

#3610 · Tyler Ingebrand, Adam Thorpe, Ufuk Topcu

DASH: Warm-Starting Neural Network Training in Stationary Settings without Loss of Plasticity

#3611 · Baekrok Shin, Junsoo Oh, Hanseul Cho, Chulhee Yun

SPIQA: A Dataset for Multimodal Question Answering on Scientific Papers

#3700 · Shraman Pramanick, Rama Chellappa, Subhashini Venugopalan

MARVEL: Multidimensional Abstraction and Reasoning through Visual Evaluation and Learning

#3701 · Yifan Jiang, jiarui zhang, Kexuan Sun, Zhivar Sourati Hassan Zadeh, Kian Ahrabian, Kaixin Ma, Filip Ilievski, Jay Pujara

Probabilistic Conformal Distillation for Enhancing Missing Modality Robustness

#3702 · Mengxi Chen, Fei Zhang, Zihua Zhao, Jiangchao Yao, Ya Zhang, Yanfeng Wang

Mitigating Object Hallucination via Concentric Causal Attention

#3703 · Yun Xing, Yiheng Li, Ivan Laptev, Shijian Lu

Artemis: Towards Referential Understanding in Complex Videos

#3704 · Jihao Qiu, Yuan Zhang, Xi Tang, Lingxi Xie, Tianren Ma, Pengyu Yan, DAVID DOERMANN, Qixiang Ye, Yunjie Tian

HEALNet: Multimodal Fusion for Heterogeneous Biomedical Data

#3705 · Konstantin Hemker, Nikola Simidjievski, Mateja Jamnik

Dense Connector for MLLMs

#3706 · Huanjin Yao, Wenhao Wu, Taojiannan Yang, YuXin Song, Mengxi Zhang, Haocheng Feng, Yifan Sun, Zhiheng Li, Wanli Ouyang, Jingdong Wang

SpatialRGPT: Grounded Spatial Reasoning in Vision-Language Models

#3707 · An-Chieh Cheng, Hongxu Yin, Yang Fu, Qiushan Guo, Ruihan Yang, Jan Kautz, Xiaolong Wang, Sifei Liu

Visual Perception by Large Language Model’s Weights

#3708 · Feipeng Ma, Hongwei Xue, Yizhou Zhou, Guangting Wang, Fengyun Rao, Shilin Yan, Yueyi Zhang, Siying Wu, Mike Zheng Shou, Xiaoyan Sun

Accelerating Pre-training of Multimodal LLMs via Chain-of-Sight

#3709 · Ziyuan Huang, Kaixiang Ji, Biao Gong, Zhiwu Qing, Qinglong Zhang, Kecheng Zheng, Jian Wang, Jingdong Chen, Ming Yang

Why are Visually-Grounded Language Models Bad at Image Classification?

#3710 · Yuhui Zhang, Alyssa Unell, Xiaohan Wang, Dhruba Ghosh, Yuchang Su, Ludwig Schmidt, Serena Yeung

Continual Audio-Visual Sound Separation

#3711 · Weiguo Pian, Yiyang Nan, Shijian Deng, Shentong Mo, Yunhui Guo, Yapeng Tian

RSA: Resolving Scale Ambiguities in Monocular Depth Estimators through Language Descriptions

#3800 · Ziyao Zeng, Yangchao Wu, Hyoungseob Park, Daniel Wang, Fengyu Yang, Stefano Soatto, DONG LAO, Byung-Woo Hong, Alex Wong

HAWK: Learning to Understand Open-World Video Anomalies

#3801 · Jiaqi Tang, Hao LU, RUIZHENG WU, Xiaogang Xu, Ke Ma, Cheng Fang, Bin Guo, Jiangbo Lu, Qifeng Chen, Yingcong Chen

Chat-Scene: Bridging 3D Scene and Large Language Models with Object Identifiers

#3802 · Haifeng Huang, Yilun Chen, Zehan Wang, Rongjie Huang, Runsen Xu, Tai WANG, Luping Liu, Xize Cheng, Yang Zhao, Jiangmiao Pang, Zhou Zhao

Empowering Visible-Infrared Person Re-Identification with Large Foundation Models

#3803 · Zhangyi Hu, Bin Yang, Mang Ye

Temporal Sentence Grounding with Relevance Feedback in Videos

#3804 · Jianfeng Dong, Xiaoman Peng, Daizong Liu, Xiaoye Qu, Xun Yang, Cuizhu Bao, Meng Wang

What matters when building vision-language models?

#3805 · Hugo Laurençon, Leo Tronchon, Matthieu Cord, Victor Sanh

MoMu-Diffusion: On Learning Long-Term Motion-Music Synchronization and Correspondence

#3806 · Fuming You, Minghui Fang, Li Tang, Rongjie Huang, Yongqi Wang, Zhou Zhao

Toward Robust Incomplete Multimodal Sentiment Analysis via Hierarchical Representation Learning

#3807 · Mingcheng Li, Dingkang Yang, Yang Liu, Shunli Wang, Jiawei Chen, Shuaibing Wang, Jinjie Wei, Yue Jiang, Qingyao Xu, Xiaolu Hou, Mingyang Sun, Ziyun Qian, Dongliang Kou, Lihua Zhang

Jointly Modeling Inter- & Intra-Modality Dependencies for Multi-modal Learning

#3808 · Divyam Madaan, Taro Makino, Sumit Chopra, Kyunghyun Cho

Leveraging Visual Tokens for Extended Text Contexts in Multi-Modal Learning

#3809 · Alex Jinpeng Wang, Linjie Li, Yiqi Lin, Min Li, Lijuan Wang, Mike Zheng Shou

No Filter: Cultural and Socioeconomic Diversity in Contrastive Vision-Language Models

#3810 · Angéline Pouget, Lucas Beyer, Emanuele Bugliarello, Xiao Wang, Andreas Steiner, Xiaohua Zhai, Ibrahim Alabdulmohsin

What Makes CLIP More Robust to Long-Tailed Pre-Training Data? A Controlled Study for Transferable Insights

#3811 · Xin Wen, Bingchen Zhao, Yilun Chen, Jiangmiao Pang, Xiaojuan Qi

A Sober Look at the Robustness of CLIPs to Spurious Features

#3900 · Qizhou Wang, Yong Lin, Yongqiang Chen, Ludwig Schmidt, Bo Han, Tong Zhang

Automated Multi-level Preference for MLLMs

#3901 · Mengxi Zhang, Wenhao Wu, Yu Lu, YuXin Song, KANG RONG, Huanjin Yao, Jianbo Zhao, Fanglong Liu, Haocheng Feng, Jingdong Wang, Yifan Sun

Unified Lexical Representation for Interpretable Visual-Language Alignment

#3902 · Yifan Li, Yikai Wang, Yanwei Fu, Dongyu Ru, Zheng Zhang, Tong He

Deep Correlated Prompting for Visual Recognition with Missing Modalities

#3903 · lianyu hu, Tongkai Shi, Wei Feng, Fanhua Shang, Liang Wan

Evaluating alignment between humans and neural network representations in image-based learning tasks

#3904 · Can Demircan, Tankred Saanum, Leonardo Pettini, Marcel Binz, Blazej Baczkowski, Christian Doeller, Mona Garvert, Eric Schulz

NeuroClips: Towards High-fidelity and Smooth fMRI-to-Video Reconstruction

#3905 · Zixuan Gong, Guangyin Bao, Qi Zhang, Zhongwei Wan, Duoqian Miao, Shoujin Wang, Lei Zhu, Changwei Wang, Rongtao Xu, Liang Hu, Ke Liu, Yu Zhang

Global Distortions from Local Rewards: Neural Coding Strategies in Path-Integrating Neural Systems

#3906 · Francisco Acosta, Fatih Dinc, William Redman, Manu Madhav, David Klindt, Nina Miolane

Flexible task abstractions emerge in linear networks with fast and bounded units

#3907 · Kai Sandbrink, Jan Bauer, Alexandra Proca, Andrew Saxe, Christopher Summerfield, Ali Hummos

Inferring stochastic low-rank recurrent neural networks from neural data

#3908 · Matthijs Pals, A Erdem Sağtekin, Felix Pei, Manuel Gloeckler, Jakob H Macke

Latent Learning Progress Drives Autonomous Goal Selection in Human Reinforcement Learning

#3909 · Gaia Molinaro, Cédric Colas, Pierre-Yves Oudeyer, Anne Collins

LM-HT SNN: Enhancing the Performance of SNN to ANN Counterpart through Learnable Multi-hierarchical Threshold Model

#3910 · Zecheng Hao, Xinyu Shi, Yujia Liu, Zhaofei Yu, Tiejun Huang

Trading Place for Space: Increasing Location Resolution Reduces Contextual Capacity in Hippocampal Codes

#3911 · Spencer Rooke, Zhaoze Wang, Ronald Di Tullio, Vijay Balasubramanian

Addressing Spatial-Temporal Heterogeneity: General Mixed Time Series Analysis via Latent Continuity Recovery and Alignment

#4000 · Jiawei Chen, 春晖赵

Take A Shortcut Back: Mitigating the Gradient Vanishing for Training Spiking Neural Networks

#4001 · Yufei Guo, Yuanpei Chen, Zecheng Hao, Weihang Peng, Zhou Jie, Yuhan Zhang, Xiaode Liu, Zhe Ma

Learning Cortico-Muscular Dependence through Orthonormal Decomposition of Density Ratios

#4002 · Shihan Ma, Bo Hu, Tianyu Jia, Alexander Clarke, Blanka Zicher, Arnault Caillet, Dario Farina, Jose C Principe

Symbolic Regression with a Learned Concept Library

#4003 · Arya Grayeli, Atharva Sehgal, Omar Costilla Reyes, Miles Cranmer, Swarat Chaudhuri

Active design of two-photon holographic stimulation for identifying neural population dynamics

#4004 · Andrew Wagenmaker, Lu Mi, Marton Rozsa, Matthew Bull, Karel Svoboda, Kayvon Daie, Matthew Golub, Kevin Jamieson

Exploring Behavior-Relevant and Disentangled Neural Dynamics with Generative Diffusion Models

#4005 · Yule Wang, Chengrui Li, Weihan Li, Anqi Wu

Flexible mapping of abstract domains by grid cells via self-supervised extraction and projection of generalized velocity signals

#4006 · Abhiram Iyer, Sarthak Chandra, Sugandha Sharma, Ila Fiete

Brain-JEPA: Brain Dynamics Foundation Model with Gradient Positioning and Spatiotemporal Masking

#4007 · Zijian Dong, Ruilin Li, Yilei Wu, Thuan Tinh Nguyen, Joanna Chong, Fang Ji, Nathanael Tong, Christopher Chen, Juan Helen Zhou

To Learn or Not to Learn, That is the Question — A Feature-Task Dual Learning Model of Perceptual Learning

#4008 · Xiao Liu, Muyang Lyu, Cong Yu, Si Wu

Compositional Generalization Across Distributional Shifts with Sparse Tree Operations

#4009 · Paul Soulos, Henry Conklin, Mattia Opper, Paul Smolensky, Jianfeng Gao, Roland Fernandez

Latent Diffusion for Neural Spiking Data

#4010 · Jaivardhan Kapoor, Auguste Schulz, Julius Vetter, Felix Pei, Richard Gao, Jakob H Macke

Exploring the trade-off between deep-learning and explainable models for brain-machine interfaces

#4011 · Luis Cubillos, Guy Revach, Matthew Mender, Joseph Costello, Hisham Temmar, Aren Hite, Diksha Anoop Kumar Zutshi, Dylan Wallace, Xiaoyong Ni, Madison Kelberman, Matt Willsey, Ruud Van Sloun, Nir Shlezinger, Parag Patil, Anne Draelos, Cynthia Chestek

Multiple Physics Pretraining for Spatiotemporal Surrogate Models

#4100 · Michael McCabe, Bruno Régaldo-Saint Blancard, Liam Parker, Ruben Ohana, Miles Cranmer, Alberto Bietti, Michael Eickenberg, Siavash Golkar, Geraud Krawezik, Francois Lanusse, Mariel Pettee, Tiberiu Tesileanu, Kyunghyun Cho, Shirley Ho

Poseidon: Efficient Foundation Models for PDEs

#4101 · Maximilian Herde, Bogdan Raonic, Tobias Rohner, Roger Käppeli, Roberto Molinaro, Emmanuel de Bézenac, Siddhartha Mishra

Pretraining Codomain Attention Neural Operators for Solving Multiphysics PDEs

#4102 · Md Ashiqur Rahman, Robert Joseph George, Mogab Elleithy, Daniel Leibovici, Zongyi Li, Boris Bonev, Colin White, Julius Berner, Raymond A. Yeh, Jean Kossaifi, Kamyar Azizzadenesheli, Animashree Anandkumar

Generalizing Weather Forecast to Fine-grained Temporal Scales via Physics-AI Hybrid Modeling

#4103 · Wanghan Xu, Fenghua Ling, zhangwenlong, Tao Han, Hao Chen, Wanli Ouyang, LEI BAI

Validating Climate Models with Spherical Convolutional Wasserstein Distance

#4104 · Robert Garrett, Trevor Harris, Zhuo Wang, Bo Li

Probabilistic Weather Forecasting with Hierarchical Graph Neural Networks

#4105 · Joel Oskarsson, Tomas Landelius, Marc Deisenroth, Fredrik Lindsten

A Recipe for Charge Density Prediction

#4106 · Xiang Fu, Andrew Rosen, Kyle Bystrom, Rui Wang, Albert Musaelian, Boris Kozinsky, Tess Smidt, Tommi Jaakkola

Higher-Rank Irreducible Cartesian Tensors for Equivariant Message Passing

#4107 · Viktor Zaverkin, Francesco Alesiani, Takashi Maruyama, Federico Errica, Henrik Christiansen, Makoto Takamoto, Nicolas Weber, Mathias Niepert

Treeffuser: probabilistic prediction via conditional diffusions with gradient-boosted trees

#4108 · Nicolas Beltran Velez, Alessandro A Grande, Achille Nazaret, Alp Kucukelbir, David Blei

An Efficient High-dimensional Gradient Estimator for Stochastic Differential Equations

#4109 · Shengbo Wang, Jose Blanchet, Peter W Glynn

Shaving Weights with Occam's Razor: Bayesian Sparsification for Neural Networks using the Marginal Likelihood

#4110 · Rayen Dhahri, Alexander Immer, Bertrand Charpentier, Stephan Günnemann, Vincent Fortuin

Preferential Normalizing Flows

#4111 · Petrus Mikkola, Luigi Acerbi, Arto Klami

Trajectory Diffusion for ObjectGoal Navigation

#4200 · Xinyao Yu, Sixian Zhang, Xinhang Song, Xiaorong Qin, Shuqiang Jiang

Point Cloud Matters: Rethinking the Impact of Different Observation Spaces on Robot Learning

#4201 · Haoyi Zhu, Yating Wang, Di Huang, Weicai Ye, Wanli Ouyang, Tong He

Practical Shuffle Coding

#4202 · Julius Kunze, Daniel Severo, Jan-Willem van de Meent, James Townsend

Log-concave Sampling from a Convex Body with a Barrier: a Robust and Unified Dikin Walk

#4203 · Yuzhou Gu, Nikki Lijing Kuang, Yian Ma, Zhao Song, Lichen Zhang

Physics-Informed Variational State-Space Gaussian Processes

#4204 · Oliver Hamelijnck, Arno Solin, Theodoros Damoulas

Nonstationary Sparse Spectral Permanental Process

#4205 · Zicheng Sun, Yixuan Zhang, Zenan Ling, Xuhui Fan, Feng Zhou

Pre-trained Gaussian Processes for Bayesian Optimization

#4206 · Zi Wang, George Dahl, Kevin Swersky, Chansoo Lee, Zachary Nado, Justin Gilmer, Jasper Snoek, Zoubin Ghahramani

Enhancing Diversity in Bayesian Deep Learning via Hyperspherical Energy Minimization of CKA

#4207 · David Smerkous, Qinxun Bai, Fuxin Li

Bayesian Adaptive Calibration and Optimal Design

#4208 · Rafael Oliveira, Dino Sejdinovic, David Howard, Edwin Bonilla

Probabilistic size-and-shape functional mixed models

#4209 · Fangyi Wang, Karthik Bharath, Oksana Chkrebtii, Sebastian Kurtek

Conjugate Bayesian Two-step Change Point Detection for Hawkes Process

#4210 · Zeyue Zhang, Xiaoling LU, Feng Zhou

High Rank Path Development: an approach to learning the filtration of stochastic processes

#4211 · Jiajie Tao, Hao Ni, Chong Liu

EASI: Evolutionary Adversarial Simulator Identification for Sim-to-Real Transfer

#4300 · Haoyu Dong, Huiqiao Fu, Wentao Xu, Zhehao Zhou, Chunlin Chen

Reasoning Multi-Agent Behavioral Topology for Interactive Autonomous Driving

#4301 · Haochen Liu, Li Chen, Yu Qiao, Chen Lv, Hongyang Li

Variational Distillation of Diffusion Policies into Mixture of Experts

#4302 · Hongyi Zhou, Denis Blessing, Ge Li, Onur Celik, Xiaogang Jia, Gerhard Neumann, Rudolf Lioutikov

DPIC: Decoupling Prompt and Intrinsic Characteristics for LLM Generated Text Detection

#4303 · XIAO YU, Yuang Qi, Kejiang Chen, Guoqiang Chen, Xi Yang, Pengyuan Zhu, Xiuwei Shang, Weiming Zhang, Nenghai Yu

ANT: Adaptive Noise Schedule for Time Series Diffusion Models

#4304 · Seunghan Lee, Kibok Lee, Taeyoung Park

Scaling Law for Time Series Forecasting

#4305 · Jingzhe Shi, Qinwei Ma, Huan Ma, Lei Li

TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables

#4306 · Yuxuan Wang, Haixu Wu, Jiaxiang Dong, Guo Qin, Haoran Zhang, Yong Liu, Yun-Zhong Qiu, Jianmin Wang, Mingsheng Long

Conformalized Time Series with Semantic Features

#4307 · Baiting Chen, Zhimei Ren, Lu Cheng

Con4m: Context-aware Consistency Learning Framework for Segmented Time Series Classification

#4308 · Junru Chen, Tianyu Cao, Jing Xu, Jiahe Li, Zhilong Chen, Tao Xiao, YANG YANG

Studying How to Efficiently and Effectively Guide Models with Explanations - A Reproducibility Study

#4309 · Adrian Sauter, Milan Miletić, Ryan Ott, Rohith Prabakaran

An Analysis of Robustness of Non-Lipschitz Networks

#4310 · Maria-Florina Balcan, Avrim Blum, Dravyansh Sharma, Hongyang Zhang

Cooperate or Collapse: Emergence of Sustainable Cooperation in a Society of LLM Agents

#4311 · Giorgio Piatti, Zhijing Jin, Max Kleiman-Weiner, Bernhard Schölkopf, Mrinmaya Sachan, Rada Mihalcea

Rethinking LLM Memorization through the Lens of Adversarial Compression

#4400 · Avi Schwarzschild, Zhili Feng, Pratyush Maini, Zachary Lipton, J. Zico Kolter

Shadowcast: Stealthy Data Poisoning Attacks Against Vision-Language Models

#4401 · Yuancheng Xu, Jiarui Yao, Manli Shu, Yanchao Sun, Zichu Wu, Ning Yu, Tom Goldstein, Furong Huang

Training for Stable Explanation for Free

#4402 · Chao Chen, Chenghua Guo, Rufeng Chen, Guixiang Ma, Ming Zeng, Xiangwen Liao, Xi Zhang, Sihong Xie

Navigating the Safety Landscape: Measuring Risks in Finetuning Large Language Models

#4403 · ShengYun Peng, Pin-Yu Chen, Matthew Hull, Duen Horng Chau

Erasing Undesirable Concepts in Diffusion Models with Adversarial Preservation

#4404 · Anh Bui, Tung-Long Vuong, Khanh Doan, Trung Le, Paul Montague, Tamas Abraham, Dinh Phung

Efficient Availability Attacks against Supervised and Contrastive Learning Simultaneously

#4405 · Yihan Wang, Yifan Zhu, Xiao-Shan Gao

ZeroMark: Towards Dataset Ownership Verification without Disclosing Watermark

#4406 · Junfeng Guo, Yiming Li, Ruibo Chen, Yihan Wu, chenxi liu, Heng Huang

Breaking the False Sense of Security in Backdoor Defense through Re-Activation Attack

#4407 · Mingli Zhu, Siyuan Liang, Baoyuan Wu

The Best of Both Worlds: On the Dilemma of Out-of-distribution Detection

#4408 · Qingyang Zhang, Qiuxuan Feng, Joey Tianyi Zhou, Yatao Bian, Qinghua Hu, Changqing Zhang

Improved Generation of Adversarial Examples Against Safety-aligned LLMs

#4409 · Qizhang Li, Yiwen Guo, Wangmeng Zuo, Hao Chen

Federated Model Heterogeneous Matryoshka Representation Learning

#4410 · Liping Yi, Han Yu, Chao Ren, Gang Wang, xiaoguang Liu, Xiaoxiao Li

Diffusion-based Layer-wise Semantic Reconstruction for Unsupervised Out-of-Distribution Detection

#4411 · Ying Yang, De Cheng, Chaowei Fang, Yubiao Wang, Changzhe Jiao, Lechao Cheng, Nannan Wang, Xinbo Gao

Privacy Backdoors: Enhancing Membership Inference through Poisoning Pre-trained Models

#4500 · Yuxin Wen, Leo Marchyok, Sanghyun Hong, Jonas Geiping, Tom Goldstein, Nicholas Carlini

Beyond Slow Signs in High-fidelity Model Extraction

#4501 · Hanna Foerster, Robert Mullins, I Shumailov, Jamie Hayes

Controlling Counterfactual Harm in Decision Support Systems Based on Prediction Sets

#4502 · Eleni Straitouri, Suhas Thejaswi, Manuel Rodriguez

LACIE: Listener-Aware Finetuning for Calibration in Large Language Models

#4503 · Elias Stengel-Eskin, Peter Hase, Mohit Bansal

RaVL: Discovering and Mitigating Spurious Correlations in Fine-Tuned Vision-Language Models

#4504 · Maya Varma, Jean-Benoit Delbrouck, Zhihong Chen, Akshay Chaudhari, Curtis Langlotz

Weak Supervision Performance Evaluation via Partial Identification

#4505 · Felipe Maia Polo, Subha Maity, Mikhail Yurochkin, Moulinath Banerjee, Yuekai Sun

Fine-Tuning Personalization in Federated Learning to Mitigate Adversarial Clients

#4506 · Youssef Allouah, Abdellah El Mrini, Rachid Guerraoui, Nirupam Gupta, Rafael Pinot

When Your AIs Deceive You: Challenges of Partial Observability in Reinforcement Learning from Human Feedback

#4507 · Leon Lang, Davis Foote, Stuart J Russell, Anca Dragan, Erik Jenner, Scott Emmons

Optimistic Verifiable Training by Controlling Hardware Nondeterminism

#4508 · Megha Srivastava, Simran Arora, Dan Boneh

Text-Guided Attention is All You Need for Zero-Shot Robustness in Vision-Language Models

#4509 · Lu Yu, Haiyang Zhang, Changsheng Xu

Neural Model Checking

#4510 · Mirco Giacobbe, Daniel Kroening, Abhinandan Pal, Michael Tautschnig

Unified Gradient-Based Machine Unlearning with Remain Geometry Enhancement

#4511 · Zhehao Huang, Xinwen Cheng, JingHao Zheng, Haoran Wang, Zhengbao He, Tao Li, Xiaolin Huang

NetworkGym: Reinforcement Learning Environments for Multi-Access Traffic Management in Network Simulation

#4600 · Momin Haider, Ming Yin, Menglei Zhang, Arpit Gupta, Jing Zhu, Yu-Xiang Wang

Improved Few-Shot Jailbreaking Can Circumvent Aligned Language Models and Their Defenses

#4601 · Xiaosen Zheng, Tianyu Pang, Chao Du, Qian Liu, Jing Jiang, Min Lin

From Trojan Horses to Castle Walls: Unveiling Bilateral Data Poisoning Effects in Diffusion Models

#4602 · Zhuoshi Pan, Yuguang Yao, Gaowen Liu, Bingquan Shen, H. Vicky Zhao, Ramana Kompella, Sijia Liu

Keeping LLMs Aligned After Fine-tuning: The Crucial Role of Prompt Templates

#4603 · Kaifeng Lyu, Haoyu Zhao, Xinran Gu, Dingli Yu, Anirudh Goyal, Sanjeev Arora

Bridging OOD Detection and Generalization: A Graph-Theoretic View

#4604 · Han Wang, Sharon Li

Pseudo-Private Data Guided Model Inversion Attacks

#4605 · Xiong Peng, Bo Han, Feng Liu, Tongliang Liu, Mingyuan Zhou

Dual-Personalizing Adapter for Federated Foundation Models

#4606 · yiyuan yang, Guodong Long, Tao Shen, Jing Jiang, Michael Blumenstein

Vaccine: Perturbation-aware Alignment for Large Language Models against Harmful Fine-tuning Attack

#4607 · Tiansheng Huang, Sihao Hu, Ling Liu

Be Confident in What You Know: Bayesian Parameter Efficient Fine-Tuning of Vision Foundation Models

#4608 · Deep Pandey, Spandan Pyakurel, Qi Yu

Reconstruct and Match: Out-of-Distribution Robustness via Topological Homogeneity

#4609 · Chaoqi Chen, Luyao Tang, Hui Huang

Confidence Calibration of Classifiers with Many Classes

#4610 · Adrien Le Coz, Stéphane Herbin, Faouzi Adjed

Large Language Model Unlearning via Embedding-Corrupted Prompts

#4611 · Chris Liu, Yaxuan Wang, Jeffrey Flanigan, Yang Liu

4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on RDBs

#4700 · Minjie Wang, Quan Gan, David Wipf, Zheng Zhang, Christos Faloutsos, Weinan Zhang, Muhan Zhang, Zhenkun Cai, Jiahang Li, Zunyao Mao, Yakun Song, Jianheng Tang, Yanlin Zhang, Guang Yang, Chuan Lei, Xiao Qin, Ning Li, Han Zhang, Yanbo Wang, Zizhao Zhang

$\texttt{ConflictBank}$: A Benchmark for Evaluating the Influence of Knowledge Conflicts in LLMs

#4701 · Zhaochen Su, Jun Zhang, Xiaoye Qu, Tong Zhu, Yanshu Li, Jiashuo Sun, Juntao Li, Min Zhang, Yu Cheng

Near-Optimal Distributionally Robust Reinforcement Learning with General $L_p$ Norms

#4702 · Pierre Clavier, Laixi Shi, Erwan Le Pennec, Eric Mazumdar, Adam Wierman, Matthieu Geist

GS-Hider: Hiding Messages into 3D Gaussian Splatting

#4703 · Xuanyu Zhang, Jiarui Meng, Runyi Li, Zhipei Xu, yongbing zhang, Jian Zhang

Linear Regression using Heterogeneous Data Batches

#4704 · Ayush Jain, Rajat Sen, Weihao Kong, Abhimanyu Das, Alon Orlitsky

DiTFastAttn: Attention Compression for Diffusion Transformer Models

#4705 · Zhihang Yuan, Hanling Zhang, Lu Pu, Xuefei Ning, Linfeng Zhang, Tianchen Zhao, Shengen Yan, Guohao Dai, Yu Wang

Stratified Prediction-Powered Inference for Effective Hybrid Evaluation of Language Models

#4706 · Adam Fisch, Joshua Maynez, R. Hofer, Bhuwan Dhingra, Amir Globerson, William Cohen

Near-Optimal Streaming Heavy-Tailed Statistical Estimation with Clipped SGD

#4707 · Aniket Das, Dheeraj Nagaraj, Soumyabrata Pal, Arun Suggala, Prateek Varshney

Any2Policy: Learning Visuomotor Policy with Any-Modality

#4708 · Yichen Zhu, Zhicai Ou, Feifei Feng, Jian Tang

Be like a Goldfish, Don't Memorize! Mitigating Memorization in Generative LLMs

#4709 · Abhimanyu Hans, John Kirchenbauer, Yuxin Wen, Neel Jain, Hamid Kazemi, Prajwal Singhania, Siddharth Singh, Gowthami Somepalli, Jonas Geiping, Abhinav Bhatele, Tom Goldstein

Probing the Decision Boundaries of In-context Learning in Large Language Models

#4710 · Siyan Zhao, Tung Nguyen, Aditya Grover

UniAR: A Unified model for predicting human Attention and Responses on visual content

#4711 · Peizhao Li, Junfeng He, Gang Li, Rachit Bhargava, Shaolei Shen, Nachiappan Valliappan, Youwei Liang, Hongxiang Gu, Venky Ramachandran, Golnaz farhadi, Yang Li, Kai Kohlhoff, Vidhya Navalpakkam

The Poisson Midpoint Method for Langevin Dynamics: Provably Efficient Discretization for Diffusion Models

#4800 · Saravanan Kandasamy, Dheeraj Nagaraj

Fairness without Harm: An Influence-Guided Active Sampling Approach

#4801 · Jinlong Pang, Jialu Wang, Zhaowei Zhu, Yuanshun Yao, Chen Qian, Yang Liu

Satformer: Accurate and Robust Traffic Data Estimation for Satellite Networks

#4802 · Liang Qin, Xiyuan Liu, Wenting Wei, Liang Chengbin, Huaxi Gu

LLM-AutoDA: Large Language Model-Driven Automatic Data Augmentation for Long-tailed Problems

#4803 · Pengkun Wang, Zhe Zhao, HaiBin Wen, Fanfu Wang, Binwu Wang, Qingfu Zhang, Yang Wang

In-Context Learning of a Linear Transformer Block: Benefits of the MLP Component and One-Step GD Initialization

#4804 · Ruiqi Zhang, Jingfeng Wu, Peter Bartlett

State-free Reinforcement Learning

#4805 · Mingyu Chen, Aldo Pacchiano, Xuezhou Zhang

Déjà Vu Memorization in Vision–Language Models

#4806 · Bargav Jayaraman, Chuan Guo, Kamalika Chaudhuri

QVAE-Mole: The Quantum VAE with Spherical Latent Variable Learning for 3-D Molecule Generation

#4807 · Huaijin Wu, Xinyu Ye, Junchi Yan

Generative Hierarchical Materials Search

#4808 · Sherry Yang, Simon Batzner, Ruiqi Gao, Muratahan Aykol, Alexander Gaunt, Brendan C McMorrow, Danilo Jimenez Rezende, Dale Schuurmans, Igor Mordatch, Ekin Dogus Cubuk

Theoretical Investigations and Practical Enhancements on Tail Task Risk Minimization in Meta Learning

#4809 · Yiqin Lv, Qi Wang, Dong Liang, Zheng Xie

EfficientCAPER: An End-to-End Framework for Fast and Robust Category-Level Articulated Object Pose Estimation

#4810 · Xinyi Yu, Haonan Jiang, Li Zhang, Lin Yuanbo Wu, Linlin Ou, Liu Liu

Blind Image Restoration via Fast Diffusion Inversion

#4811 · Hamadi Chihaoui, Abdelhak Lemkhenter, Paolo Favaro

Navigating Chemical Space with Latent Flows

#4900 · Guanghao Wei, Yining Huang, Chenru Duan, Yue Song, Yuanqi Du

Unified Covariate Adjustment for Causal Inference

#4901 · Yonghan Jung, Jin Tian, Elias Bareinboim

ControlSynth Neural ODEs: Modeling Dynamical Systems with Guaranteed Convergence

#4902 · Wenjie Mei, Dongzhe Zheng, Shihua Li

Adversarial Representation Engineering: A General Model Editing Framework for Large Language Models

#4903 · Yihao Zhang, Zeming Wei, Jun Sun, Meng Sun

Bayesian Identification of the Hamiltonian Inductive Bias in Dynamical Systems

#4904 · Stefano Cortinovis, Mark van der Wilk

Tactile DreamFusion: Exploiting Tactile Sensing for 3D Generation

#4905 · Ruihan Gao, Kangle Deng, Gengshan Yang, Wenzhen Yuan, Jun-Yan Zhu

Breaking Determinism: Fuzzy Modeling of Sequential Recommendation Using Discrete State Space Diffusion Model

#4906 · Wenjia Xie, Hao Wang, Luankang Zhang, Rui Zhou, Defu Lian, Enhong Chen

Rethinking Optimal Transport in Offline Reinforcement Learning

#4907 · Arip Asadulaev, Rostislav Korst, Aleksandr Korotin, Vage Egiazarian, Andrey Filchenkov, Evgeny Burnaev

GraphVis: Boosting LLMs with Visual Knowledge Graph Integration

#4908 · Yihe Deng, Chenchen Ye, Zijie Huang, Mingyu Derek Ma, Yiwen Kou, Wei Wang

Exploration by Learning Diverse Skills through Successor State Representations

#4909 · Paul-Antoine LE TOLGUENEC, Yann BESSE, Florent Teichteil-Koenigsbuch, Dennis Wilson, Emmanuel Rachelson

Sequoia: Scalable and Robust Speculative Decoding

#4910 · Zhuoming Chen, Avner May, Ruslan Svirschevski, Yu-Hsun Huang, Max Ryabinin, Zhihao Jia, Beidi Chen

Treatment of Statistical Estimation Problems in Randomized Smoothing for Adversarial Robustness

#4911 · Vaclav Voracek

Introducing Spectral Attention for Long-Range Dependency in Time Series Forecasting

#4920 · Bong Gyun Kang, Dongjun Lee, HyunGi Kim, Dohyun Chung, Sungroh Yoon

Is A Picture Worth A Thousand Words? Delving Into Spatial Reasoning for Vision Language Models

#4921 · Jiayu Wang, Yifei Ming, Zhenmei Shi, Vibhav Vineet, Xin Wang, Sharon Li, Neel Joshi

PERIA: Perceive, Reason, Imagine, Act via Holistic Language and Vision Planning for Manipulation

#4922 · Fei Ni, Jianye Hao, Shiguang Wu, Longxin Kou, Yifu Yuan, Zibin Dong, Jinyi Liu, MingZhi Li, Yuzheng Zhuang, YAN ZHENG

SPRINQL: Sub-optimal Demonstrations driven Offline Imitation Learning

#4923 · Huy Hoang, Tien Mai, Pradeep Varakantham

Transductive Active Learning: Theory and Applications

#4924 · Jonas Hübotter, Bhavya, Lenart Treven, Yarden As, Andreas Krause

Gorilla: Large Language Model Connected with Massive APIs

#4925 · Shishir G Patil, Tianjun Zhang, Xin Wang, Joseph Gonzalez

Make Your LLM Fully Utilize the Context

#4930 · Shengnan An, Zexiong Ma, Zeqi Lin, Nanning Zheng, Jian-Guang Lou, Weizhu Chen

Solving Zero-Sum Markov Games with Continous State via Spectral Dynamic Embedding

#4931 · Chenhao Zhou, Zebang Shen, zhang chao, Hanbin Zhao, Hui Qian

Locating What You Need: Towards Adapting Diffusion Models to OOD Concepts In-the-Wild

#4932 · Jianan Yang, Chenchao Gao, Zhiqing Xiao, Junbo Zhao, Sai Wu, Gang Chen, Haobo Wang

Association Pattern-aware Fusion for Biological Entity Relationship Prediction

#4933 · Lingxiang Jia, Yuchen Ying, Zunlei Feng, Zipeng Zhong, Shaolun Yao, Jiacong Hu, Mingjiang Duan, Xingen Wang, Jie Song, Mingli Song