Sungsoo Ahn
44 papers · 2015–2025 · 8 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+11 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (11) π§ Keyword Pioneer π Interdisciplinary Bridge π Renaissance Researcher (5) π£ Hot Topic Early Bird
π
Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(11)
π§
Keyword Pioneer
π€
Dynamic Duo
(15)
π
Triple Crown
π
Century Club
(44)
β‘
Prolific Year
(5)
π₯
Unstoppable
(11)
β
The Questioner
π
Trend Setter
ποΈ
Keyword Collector
(129)
Conferences
ICLR (13)
ICML (11)
NIPS (11)
EMNLP (3)
ACL (2)
IJCAI (2)
AISTATS (1)
CVPR (1)
Top co-authors
Keywords
variational inference
(4)
large language model
(4)
graphical model
(3)
graph neural network
(3)
partition function
(3)
deep neural network
(3)
belief propagation
(3)
gauge transformation
(2)
approximate inference
(2)
molecular optimization
(2)
mini-bucket elimination
(2)
molecular structure
(2)
spurious correlation
(2)
combinatorial optimization
(2)
molecular generation
(2)
neural network
(2)
ensemble learning
(1)
feature learning
(1)
transfer learning
(1)
robust optimization
(1)
Papers
Adaptive teachers for amortized samplers
ICLR 2025
Structural Reasoning Improves Molecular Understanding of LLM
ACL 2025
REBIND: Enhancing Ground-state Molecular Conformation Prediction via Force-Based Graph Rewiring
ICLR 2025
Transition Path Sampling with Improved Off-Policy Training of Diffusion Path Samplers
ICLR 2025
MOFFlow: Flow Matching for Structure Prediction of Metal-Organic Frameworks
ICLR 2025
Generative Flows on Synthetic Pathway for Drug Design
ICLR 2025
Self-Training Large Language Models with Confident Reasoning
EMNLP 2025
MT-Mol: Multi Agent System with Tool-based Reasoning for Molecular Optimization
EMNLP 2025
Improving Chemical Understanding of LLMs via SMILES Parsing
EMNLP 2025
Enhancing LLM Agent Safety via Causal Influence Prompting
ACL 2025
EPIC: Graph Augmentation with Edit Path Interpolation via Learnable Cost
IJCAI 2024
Pessimistic Backward Policy for GFlowNets
NIPS 2024
Graph Generation with $K^2$-trees
ICLR 2024
A Simple and Scalable Representation for Graph Generation
ICLR 2024
Learning Energy Decompositions for Partial Inference in GFlowNets
ICLR 2024
Local Search GFlowNets
ICLR 2024
Tackling Prevalent Conditions in Unsupervised Combinatorial Optimization: Cardinality, Minimum, Covering, and More
ICML 2024
Gaussian Plane-Wave Neural Operator for Electron Density Estimation
ICML 2024
Hybrid Neural Representations for Spherical Data
ICML 2024
Improving Robustness to Multiple Spurious Correlations by Multi-Objective Optimization
ICML 2024
Symmetric Replay Training: Enhancing Sample Efficiency in Deep Reinforcement Learning for Combinatorial Optimization
ICML 2024
Breadth-First Exploration on Adaptive Grid for Reinforcement Learning
ICML 2024
Bootstrapped Training of Score-Conditioned Generator for Offline Design of Biological Sequences
NIPS 2023
A Closer Look at the Intervention Procedure of Concept Bottleneck Models
ICML 2023
Imitating Graph-Based Planning with Goal-Conditioned Policies
ICLR 2023
Multi-resolution Spectral Coherence for Graph Generation with Score-based Diffusion
NIPS 2023
Diffusion Probabilistic Models for Structured Node Classification
NIPS 2023
Disentangling Sources of Risk for Distributional Multi-Agent Reinforcement Learning
ICML 2022
Learning Debiased Classifier with Biased Committee
NIPS 2022
What Makes Better Augmentation Strategies? Augment Difficult but Not too Different
ICLR 2022
Spanning Tree-based Graph Generation for Molecules
ICLR 2022
Self-Improved Retrosynthetic Planning
ICML 2021
RetCL: A Selection-based Approach for Retrosynthesis via Contrastive Learning
IJCAI 2021
RoMA: Robust Model Adaptation for Offline Model-based Optimization
NIPS 2021
Layer-adaptive Sparsity for the Magnitude-based Pruning
ICLR 2021
Guiding Deep Molecular Optimization with Genetic Exploration
NIPS 2020
Learning from Failure: De-biasing Classifier from Biased Classifier
NIPS 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
NIPS 2017
Synthesis of MCMC and Belief Propagation
NIPS 2016
Minimum Weight Perfect Matching via Blossom Belief Propagation
NIPS 2015