Sungsoo Ahn

Assistant Professor, Korea Advanced Institute of Science & Technology

4 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

On scalable and efficient training of diffusion samplers

#611 · Minkyu Kim, Kiyoung Seong, Dongyeop Woo, Sungsoo Ahn, Minsu Kim

We propose a scalable and sample-efficient framework for training diffusion samplers by integrating classical sampling methods, suitable for practical applications like molecular conformer generation.

Poster Session 2

1 paper

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

Exhibit Hall C,D,E

High-order Equivariant Flow Matching for Density Functional Theory Hamiltonian Prediction

#1606 Spotlight · Seongsu Kim, Nayoung Kim, Dongwoo Kim, Sungsoo Ahn

We propose QHFlow, an SE(3)-equivariant flow model for generating Hamiltonians.

Poster Session 3

1 paper

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

Exhibit Hall C,D,E

Flexible MOF Generation with Torsion-Aware Flow Matching

#1711 · Nayoung Kim, Seongsu Kim, Sungsoo Ahn

We propose a flexible two-stage MOF generation framework that combines a SMILES-based autoregressive model with a torsion-aware normalizing flow.

Poster Session 5

1 paper

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

Exhibit Hall C,D,E

Energy-based generator matching: A neural sampler for general state space

#609 · Dongyeop Woo, Minsu Kim, Minkyu Kim, Kiyoung Seong, Sungsoo Ahn

Energy-based training of neural continuous-time Markov processes in general state space.