Ahn, Sungsoo

56 publications

ICLR 2025 Adaptive Teachers for Amortized Samplers Minsu Kim, Sanghyeok Choi, Taeyoung Yun, Emmanuel Bengio, Leo Feng, Jarrid Rector-Brooks, Sungsoo Ahn, Jinkyoo Park, Nikolay Malkin, Yoshua Bengio

TMLR 2025 Decoupled Sequence and Structure Generation for Realistic Antibody Design Nayoung Kim, Minsu Kim, Sungsoo Ahn, Jinkyoo Park

NeurIPS 2025 Energy-Based Generator Matching: A Neural Sampler for General State Space Dongyeop Woo, Minsu Kim, Minkyu Kim, Kiyoung Seong, Sungsoo Ahn

NeurIPS 2025 Flexible MOF Generation with Torsion-Aware Flow Matching Nayoung Kim, Seongsu Kim, Sungsoo Ahn

ICLR 2025 Generative Flows on Synthetic Pathway for Drug Design Seonghwan Seo, Minsu Kim, Tony Shen, Martin Ester, Jinkyoo Park, Sungsoo Ahn, Woo Youn Kim

NeurIPS 2025 High-Order Equivariant Flow Matching for Density Functional Theory Hamiltonian Prediction Seongsu Kim, Nayoung Kim, Dongwoo Kim, Sungsoo Ahn

ICLR 2025 MOFFlow: Flow Matching for Structure Prediction of Metal-Organic Frameworks Nayoung Kim, Seongsu Kim, Minsu Kim, Jinkyoo Park, Sungsoo Ahn

NeurIPS 2025 On Scalable and Efficient Training of Diffusion Samplers Minkyu Kim, Kiyoung Seong, Dongyeop Woo, Sungsoo Ahn, Minsu Kim

ICLR 2025 REBIND: Enhancing Ground-State Molecular Conformation Prediction via Force-Based Graph Rewiring Taewon Kim, Hyunjin Seo, Sungsoo Ahn, Eunho Yang

ICLR 2025 Transition Path Sampling with Improved Off-Policy Training of Diffusion Path Samplers Kiyoung Seong, Seonghyun Park, Seonghwan Kim, Woo Youn Kim, Sungsoo Ahn

ICLR 2024 A Simple and Scalable Representation for Graph Generation Yunhui Jang, Seul Lee, Sungsoo Ahn

ICML 2024 Breadth-First Exploration on Adaptive Grid for Reinforcement Learning Youngsik Yoon, Gangbok Lee, Sungsoo Ahn, Jungseul Ok

NeurIPSW 2024 Chain-of-Thoughts for Molecular Understanding Yunhui Jang, Jaehyung Kim, Sungsoo Ahn

ICMLW 2024 Collective Variable Free Transition Path Sampling with Generative Flow Network Kiyoung Seong, Seonghyun Park, Seonghwan Kim, Woo Youn Kim, Sungsoo Ahn

IJCAI 2024 EPIC: Graph Augmentation with Edit Path Interpolation via Learnable Cost Jaeseung Heo, Seungbeom Lee, Sungsoo Ahn, Dongwoo Kim

ICML 2024 Gaussian Plane-Wave Neural Operator for Electron Density Estimation Seongsu Kim, Sungsoo Ahn

NeurIPSW 2024 Generative Flows on Synthetic Pathway for Drug Design Seonghwan Seo, Minsu Kim, Tony Shen, Martin Ester, Jinkyoo Park, Sungsoo Ahn, Woo Youn Kim

ICLR 2024 Graph Generation with $k^2$-Trees Yunhui Jang, Dongwoo Kim, Sungsoo Ahn

TMLR 2024 Holistic Molecular Representation Learning via Multi-View Fragmentation Seojin Kim, Jaehyun Nam, Junsu Kim, Hankook Lee, Sungsoo Ahn, Jinwoo Shin

ICML 2024 Hybrid Neural Representations for Spherical Data Hyomin Kim, Yunhui Jang, Jaeho Lee, Sungsoo Ahn

ICML 2024 Improving Robustness to Multiple Spurious Correlations by Multi-Objective Optimization Nayeong Kim, Juwon Kang, Sungsoo Ahn, Jungseul Ok, Suha Kwak

ICLR 2024 Learning Energy Decompositions for Partial Inference in GFlowNets Hyosoon Jang, Minsu Kim, Sungsoo Ahn

ICLR 2024 Local Search GFlowNets Minsu Kim, Taeyoung Yun, Emmanuel Bengio, Dinghuai Zhang, Yoshua Bengio, Sungsoo Ahn, Jinkyoo Park

NeurIPSW 2024 MOFFlow: Flow Matching for Structure Prediction of Metal-Organic Frameworks Nayoung Kim, Seongsu Kim, Minsu Kim, Jinkyoo Park, Sungsoo Ahn

TMLR 2024 Non-Backtracking Graph Neural Networks Seonghyun Park, Narae Ryu, Gahee Kim, Dongyeop Woo, Se-Young Yun, Sungsoo Ahn

NeurIPS 2024 Pessimistic Backward Policy for GFlowNets Hyosoon Jang, Yunhui Jang, Minsu Kim, Jinkyoo Park, Sungsoo Ahn

ICML 2024 Symmetric Replay Training: Enhancing Sample Efficiency in Deep Reinforcement Learning for Combinatorial Optimization Hyeonah Kim, Minsu Kim, Sungsoo Ahn, Jinkyoo Park

ICML 2024 Tackling Prevalent Conditions in Unsupervised Combinatorial Optimization: Cardinality, Minimum, Covering, and More Fanchen Bu, Hyeonsoo Jo, Soo Yong Lee, Sungsoo Ahn, Kijung Shin

ICML 2023 A Closer Look at the Intervention Procedure of Concept Bottleneck Models Sungbin Shin, Yohan Jo, Sungsoo Ahn, Namhoon Lee

NeurIPSW 2023 A Simple and Scalable Representation for Graph Generation Yunhui Jang, Seul Lee, Sungsoo Ahn

NeurIPS 2023 Bootstrapped Training of Score-Conditioned Generator for Offline Design of Biological Sequences Minsu Kim, Federico Berto, Sungsoo Ahn, Jinkyoo Park

ICMLW 2023 Bootstrapped Training of Score-Conditioned Generator for Offline Design of Biological Sequences Minsu Kim, Federico Berto, Sungsoo Ahn, Jinkyoo Park

NeurIPS 2023 Diffusion Probabilistic Models for Structured Node Classification Hyosoon Jang, Seonghyun Park, Sangwoo Mo, Sungsoo Ahn

ICMLW 2023 Diffusion Probabilistic Models for Structured Node Classification Hyosoon Jang, Seonghyun Park, Sangwoo Mo, Sungsoo Ahn

ICLRW 2023 Fragment-Based Multi-View Molecular Contrastive Learning Seojin Kim, Jaehyun Nam, Junsu Kim, Hankook Lee, Sungsoo Ahn, Jinwoo Shin

ICMLW 2023 Hierarchical Graph Generation with $k^{2}$-Trees Yunhui Jang, Dongwoo Kim, Sungsoo Ahn

ICLR 2023 Imitating Graph-Based Planning with Goal-Conditioned Policies Junsu Kim, Younggyo Seo, Sungsoo Ahn, Kyunghwan Son, Jinwoo Shin

NeurIPS 2023 Multi-Resolution Spectral Coherence for Graph Generation with Score-Based Diffusion Hyuna Cho, Minjae Jeong, Sooyeon Jeon, Sungsoo Ahn, Won Hwa Kim

NeurIPSW 2023 Non-Backtracking Graph Neural Networks Seonghyun Park, Narae Ryu, Gahee Kim, Dongyeop Woo, Se-Young Yun, Sungsoo Ahn

ICMLW 2023 Symmetric Exploration in Combinatorial Optimization Is Free! Hyeonah Kim, Minsu Kim, Sungsoo Ahn, Jinkyoo Park

NeurIPSW 2022 A Closer Look at the Intervention Procedure of Concept Bottleneck Models Sungbin Shin, Yohan Jo, Sungsoo Ahn, Namhoon Lee

ICML 2022 Disentangling Sources of Risk for Distributional Multi-Agent Reinforcement Learning Kyunghwan Son, Junsu Kim, Sungsoo Ahn, Roben D Delos Reyes, Yung Yi, Jinwoo Shin

NeurIPS 2022 Learning Debiased Classifier with Biased Committee Nayeong Kim, Sehyun Hwang, Sungsoo Ahn, Jaesik Park, Suha Kwak

ICMLW 2022 Learning Debiased Classifier with Biased Committee Nayeong Kim, Sehyun Hwang, Sungsoo Ahn, Jaesik Park, Suha Kwak

ICLR 2022 Spanning Tree-Based Graph Generation for Molecules Sungsoo Ahn, Binghong Chen, Tianzhe Wang, Le Song

NeurIPSW 2022 Substructure-Atom Cross Attention for Molecular Representation Learning Jiye Kim, Seungbeom Lee, Dongwoo Kim, Sungsoo Ahn, Jaesik Park

ICLR 2022 What Makes Better Augmentation Strategies? Augment Difficult but Not Too Different Jaehyung Kim, Dongyeop Kang, Sungsoo Ahn, Jinwoo Shin

ICLR 2021 Layer-Adaptive Sparsity for the Magnitude-Based Pruning Jaeho Lee, Sejun Park, Sangwoo Mo, Sungsoo Ahn, Jinwoo Shin

IJCAI 2021 RetCL: A Selection-Based Approach for Retrosynthesis via Contrastive Learning Hankook Lee, Sungsoo Ahn, Seung-Woo Seo, You Young Song, Eunho Yang, Sung Ju Hwang, Jinwoo Shin

NeurIPS 2021 RoMA: Robust Model Adaptation for Offline Model-Based Optimization Sihyun Yu, Sungsoo Ahn, Le Song, Jinwoo Shin

ICML 2021 Self-Improved Retrosynthetic Planning Junsu Kim, Sungsoo Ahn, Hankook Lee, Jinwoo Shin

NeurIPS 2020 Guiding Deep Molecular Optimization with Genetic Exploration Sungsoo Ahn, Junsu Kim, Hankook Lee, Jinwoo Shin

ICML 2020 Learning What to Defer for Maximum Independent Sets Sungsoo Ahn, Younggyo Seo, Jinwoo Shin

NeurIPS 2020 Learning from Failure: De-Biasing Classifier from Biased Classifier Junhyun Nam, Hyuntak Cha, Sungsoo Ahn, Jaeho Lee, Jinwoo Shin

ICML 2018 Bucket Renormalization for Approximate Inference Sungsoo Ahn, Michael Chertkov, Adrian Weller, Jinwoo Shin

AISTATS 2018 Gauged Mini-Bucket Elimination for Approximate Inference Sungsoo Ahn, Michael Chertkov, Jinwoo Shin, Adrian Weller