Sungsoo Ahn

Adaptive teachers for amortized samplers ICLR 2025 Enhancing LLM Agent Safety via Causal Influence Prompting ACL 2025 Generative Flows on Synthetic Pathway for Drug Design ICLR 2025 Improving Chemical Understanding of LLMs via SMILES Parsing EMNLP 2025 MOFFlow: Flow Matching for Structure Prediction of Metal-Organic Frameworks ICLR 2025 MT-Mol: Multi Agent System with Tool-based Reasoning for Molecular Optimization EMNLP 2025 REBIND: Enhancing Ground-state Molecular Conformation Prediction via Force-Based Graph Rewiring ICLR 2025 Self-Training Large Language Models with Confident Reasoning EMNLP 2025 Structural Reasoning Improves Molecular Understanding of LLM ACL 2025 Transition Path Sampling with Improved Off-Policy Training of Diffusion Path Samplers ICLR 2025 A Simple and Scalable Representation for Graph Generation ICLR 2024 Breadth-First Exploration on Adaptive Grid for Reinforcement Learning ICML 2024 EPIC: Graph Augmentation with Edit Path Interpolation via Learnable Cost IJCAI 2024 Gaussian Plane-Wave Neural Operator for Electron Density Estimation ICML 2024 Graph Generation with K^2-trees ICLR 2024 Hybrid Neural Representations for Spherical Data ICML 2024 Improving Robustness to Multiple Spurious Correlations by Multi-Objective Optimization ICML 2024 Learning Energy Decompositions for Partial Inference in GFlowNets ICLR 2024 Local Search GFlowNets ICLR 2024 Pessimistic Backward Policy for GFlowNets NeurIPS 2024 Symmetric Replay Training: Enhancing Sample Efficiency in Deep Reinforcement Learning for Combinatorial Optimization ICML 2024 Tackling Prevalent Conditions in Unsupervised Combinatorial Optimization: Cardinality, Minimum, Covering, and More ICML 2024 A Closer Look at the Intervention Procedure of Concept Bottleneck Models ICML 2023 Bootstrapped Training of Score-Conditioned Generator for Offline Design of Biological Sequences NeurIPS 2023 Diffusion Probabilistic Models for Structured Node Classification NeurIPS 2023 Imitating Graph-Based Planning with Goal-Conditioned Policies ICLR 2023 Multi-resolution Spectral Coherence for Graph Generation with Score-based Diffusion NeurIPS 2023 Disentangling Sources of Risk for Distributional Multi-Agent Reinforcement Learning ICML 2022 Learning Debiased Classifier with Biased Committee NeurIPS 2022 Spanning Tree-based Graph Generation for Molecules ICLR 2022 What Makes Better Augmentation Strategies? Augment Difficult but Not too Different ICLR 2022 Layer-adaptive Sparsity for the Magnitude-based Pruning ICLR 2021 RetCL: A Selection-based Approach for Retrosynthesis via Contrastive Learning IJCAI 2021 RoMA: Robust Model Adaptation for Offline Model-based Optimization NeurIPS 2021 Self-Improved Retrosynthetic Planning ICML 2021 Guiding Deep Molecular Optimization with Genetic Exploration NeurIPS 2020 Learning from Failure: De-biasing Classifier from Biased Classifier NeurIPS 2020 Learning What to Defer for Maximum Independent Sets ICML 2020 Variational Information Distillation for Knowledge Transfer CVPR 2019 Bucket Renormalization for Approximate Inference ICML 2018 Gauged Mini-Bucket Elimination for Approximate Inference AISTATS 2018 Gauging Variational Inference NeurIPS 2017 Synthesis of MCMC and Belief Propagation NeurIPS 2016 Minimum Weight Perfect Matching via Blossom Belief Propagation NeurIPS 2015