Denny Wu

Postdoc, New York University

5 papers at NeurIPS 2025

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Poster Session 1

1 paper

Wednesday, December 3, 2025 · 11:00 AM → 2:00 PM

Exhibit Hall C,D,E

When Do Transformers Outperform Feedforward and Recurrent Networks? A Statistical Perspective

#4000 · Alireza Mousavi-Hosseini, Clayton Sanford, Denny Wu, Murat A Erdogdu

We prove a purely statistical separation between Transformers and other architectures such as feedforward and recurrent networks, where Transformers are more sample-efficient at learning sparse sequence models.

Poster Session 2

2 papers

Wednesday, December 3, 2025 · 4:30 PM → 7:30 PM

Exhibit Hall C,D,E

From Shortcut to Induction Head: How Data Diversity Shapes Algorithm Selection in Transformers

#4001 Spotlight · Ryotaro Kawata, Yujin Song, Alberto Bietti, Naoki Nishikawa, Taiji Suzuki, Samuel Vaiter, Denny Wu

How Does Label Noise Gradient Descent Improve Generalization in the Low SNR Regime?

#3908 · Wei Huang, Andi Han, Yujin Song, Yilan Chen, Denny Wu, Difan Zou, Taiji Suzuki

Poster Session 3

1 paper

Thursday, December 4, 2025 · 11:00 AM → 2:00 PM

Exhibit Hall C,D,E

Emergence and scaling laws in SGD learning of shallow neural networks

#4016 · Yunwei Ren, Eshaan Nichani, Denny Wu, Jason D. Lee

Poster Session 5

1 paper

Friday, December 5, 2025 · 11:00 AM → 2:00 PM

Exhibit Hall C,D,E

Learning quadratic neural networks in high dimensions: SGD dynamics and scaling laws

#4002 · Gerard Ben Arous, Murat A Erdogdu, Nuri Mert Vural, Denny Wu