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Ahn, Sungsoo

  1. Variational Information Distillation for Knowledge Transfer
    2019/04/11 by Sung Soo Ahn, Ahn, Sungsoo, Shell Xu Hu +7 · 14 citations
    Computer Science · #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and ELM
  2. Layer-adaptive sparsity for the Magnitude-based Pruning
    2020/10/15 by Lee, Jaeho, Park, Sejun, Mo, Sangwoo +2 · 13 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  3. RL4CO: an Extensive Reinforcement Learning for Combinatorial Optimization Benchmark
    2023/06/29 by Berto, Federico, Hua, Chuanbo, Park, Junyoung +30 · 16 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  4. Learning from Failure: Training Debiased Classifier from Biased Classifier
    2020/07/06 by Nam, Junhyun, Cha, Hyuntak, Ahn, Sungsoo +2 · 8 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  5. Learning What to Defer for Maximum Independent Sets
    2020/06/17 by Sungsoo Ahn, Younggyo Seo, Ahn, Sungsoo +3 · 6 citations
    Computer Science · Engineering · #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics #Scheduling and Optimization Algorithms
  6. A Closer Look at the Intervention Procedure of Concept Bottleneck Models
    2023/02/28 by Sungbin Shin, Yohan Jo, Shin, Sungbin +5 · 6 citations
    Computer Science · #Age of Information Optimization #Data Stream Mining Techniques #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  7. Self-Improved Retrosynthetic Planning
    2021/06/09 by Kim, Junsu, Ahn, Sungsoo, Lee, Hankook +1 · 4 citations
    #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Quantitative Methods (q-bio.QM)
  8. Guiding Deep Molecular Optimization with Genetic Exploration
    2020/07/04 by Sungsoo Ahn, Ahn, Sungsoo, Junsu Kim +5 · 3 citations
    Computer Science · Materials Science · Biochemistry, Genetics and Molecular Biology · #Computational Drug Discovery Methods #Machine Learning in Materials Science #Chemical Synthesis and Analysis
  9. RoMA: Robust Model Adaptation for Offline Model-based Optimization
    2021/10/27 by Sihyun Yu, Yu, Sihyun, Sungsoo Ahn +5 · 3 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
  10. Generative Flows on Synthetic Pathway for Drug Design
    2024/10/06 by Seonghwan Seo, Seo, Seonghwan, Minsu Kim +11 · 6 citations
    Engineering · #Biomolecules (q-bio.BM) #FOS: Biological sciences #FOS: Computer and information sciences #Innovative Microfluidic and Catalytic Techniques Innovation #Machine Learning (cs.LG)
  11. Transition Path Sampling with Improved Off-Policy Training of Diffusion Path Samplers
    2024/05/30 by Kiyoung Seong, Seong, Kiyoung, Seonghyun Park +7 · 5 citations
    Computer Science · Engineering · #FOS: Computer and information sciences #Hydraulic and Pneumatic Systems #Machine Learning (cs.LG) #Music and Audio Processing #Water Systems and Optimization
  12. Learning Debiased Classifier with Biased Committee
    2022/06/22 by Nayeong Kim, Kim, Nayeong, Sehyun Hwang +7 · 3 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Computer Vision and Pattern Recognition (cs.CV) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
  13. Can LLMs Generate Diverse Molecules? Towards Alignment with Structural Diversity
    2024/10/04 by Hang Jea Jang, Jang, Hyosoon, Yunhui Jang +5 · 4 citations
    Biochemistry, Genetics and Molecular Biology · #Chemical Synthesis and Analysis #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Quantitative Methods (q-bio.QM)
  14. Adaptive teachers for amortized samplers
    2024/10/02 by Minsu Kim, Kim, Minsu, Sanghyeok Choi +17 · 5 citations
    Mathematics · #Statistics Education and Methodologies
  15. Local Search GFlowNets
    2023/10/04 by Kim, Minsu, Yun, Taeyoung, Bengio, Emmanuel +4 · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  16. Bootstrapped Training of Score-Conditioned Generator for Offline Design of Biological Sequences
    2023/06/05 by Kim, Minsu, Berto, Federico, Ahn, Sungsoo +1 · 2 citations
    #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Quantitative Methods (q-bio.QM)
  17. Tackling Prevalent Conditions in Unsupervised Combinatorial Optimization: Cardinality, Minimum, Covering, and More
    2024/05/14 by Fanchen Bu, Bu, Fanchen, Hyeonsoo Jo +7 · 2 citations
    Computer Science · #Constraint Satisfaction and Optimization
  18. Abstract Reasoning via Logic-guided Generation
    2021/07/22 by Yu, Sihyun, Mo, Sangwoo, Ahn, Sungsoo +1 · 1 citation
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Logic in Computer Science (cs.LO) #Machine Learning (cs.LG)
  19. Iterated Energy-based Flow Matching for Sampling from Boltzmann Densities
    2024/08/29 by Dongyeop Woo, Woo, Dongyeop, Sungsoo Ahn +1 · 2 citations
    Computer Science · #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Time Series Analysis and Forecasting
  20. On scalable and efficient training of diffusion samplers
    2025/05/26 by Min‐Kyu Kim, Kim, Minkyu, Kiyoung Seong +6 · 5 citations
    Computer Science · Environmental Science · Mathematics · #Advanced Mathematical Modeling in Engineering #FOS: Computer and information sciences #Groundwater flow and contamination studies #Machine Learning (cs.LG) #Numerical methods in inverse problems
  21. Imitating Graph-Based Planning with Goal-Conditioned Policies
    2023/03/20 by Junsu Kim, Kim, Junsu, Younggyo Seo +7 · 1 citation
    Computer Science · #Reinforcement Learning in Robotics
  22. Diffusion Probabilistic Models for Structured Node Classification
    2023/02/21 by Jang, Hyosoon, Park, Seonghyun, Mo, Sangwoo +1 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  23. Symmetric Replay Training: Enhancing Sample Efficiency in Deep Reinforcement Learning for Combinatorial Optimization
    2023/06/02 by Kim, Hyeonah, Kim, Minsu, Ahn, Sungsoo +1 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  24. High-order Equivariant Flow Matching for Density Functional Theory Hamiltonian Prediction
    2025/05/24 by Kim, Seongsu, Kim, Nayoung, Kim, Dongwoo +1 · 3 citations
    #Artificial Intelligence (cs.AI) #Computational Physics (physics.comp-ph) #FOS: Computer and information sciences #FOS: Physical sciences
  25. EPIC: Graph Augmentation with Edit Path Interpolation via Learnable Cost
    2023/06/02 by Jaeseung Heo, Heo, Jaeseung, Seungbeom Lee +5 · 1 citation
    Computer Science · #Advanced Graph Neural Networks #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Graph Theory and Algorithms #Machine Learning (cs.LG)
  26. Non-backtracking Graph Neural Networks
    2023/10/11 by S.H. Park, Narae Ryu, Park, Seonghyun +9 · 1 citation
    Computer Science · Neuroscience · #Advanced Graph Neural Networks #Brain Tumor Detection and Classification #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM
  27. Improving Robustness to Multiple Spurious Correlations by Multi-Objective Optimization
    2024/09/05 by Kim, Nayeong, Kang, Juwon, Ahn, Sungsoo +2 · 2 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  28. A Simple and Scalable Representation for Graph Generation
    2023/12/04 by Yunhui Jang, Jang, Yunhui, Seul Lee +3 · 1 citation
    Computer Science · Materials Science · #Advanced Text Analysis Techniques #Artificial Intelligence (cs.AI) #Computational Drug Discovery Methods #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science
  29. Self-Training Large Language Models with Confident Reasoning
    2025/05/23 by Jang, Hyosoon, Jang, Yunhui, Lee, Sungjae +2 · 3 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  30. Sampling Decisions: Exact Path-Space Correction, Prior Cancellation and Local-Boltzmann Guidance
    2025/03/17 by Michael Chertkov, Chertkov, Michael, Sungsoo Ahn +3 · 3 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Gaussian Processes and Bayesian Inference #Reinforcement Learning in Robotics #cond-mat.stat-mech #cs.AI #cs.LG #cs.SY #eess.SY #stat.ML
  31. Flexible MOF Generation with Torsion-Aware Flow Matching
    2025/05/23 by Nayoung Kim, Kim, Nayoung, Seongsu Kim +3 · 2 citations
    Medicine · Computer Science · Materials Science · #Retinal Imaging and Analysis #Machine Learning and ELM #Advanced Nanomaterials in Catalysis
  32. Structural Reasoning Improves Molecular Understanding of LLM
    2024/10/08 by Yunhui Jang, Jang, Yunhui, Jaehyung Kim +2 · 1 citation
    Biochemistry, Genetics and Molecular Biology · Psychology · #Bioinformatics and Genomic Networks #Mental Health Research Topics #Genetics, Bioinformatics, and Biomedical Research