PPaperPicks

Minsu Kim

Mila - Quebec Artificial Intelligence Institute, Montreal, Canada

19 papers at tracked venues · 18 at CORE A* · active 2024–2025

DBLP profile ↗ORCID 0009-0003-8751-0352 ↗Google Scholar ↗Homepage ↗

Venues

NeurIPS ×6ICLR ×5ICML ×4AAAI ×1AISTATS ×1SIGKDD ×1VLDB ×1

Frequent coauthors

Jinkyoo Park
×12
Yoshua Bengio
×10
Sungsoo Ahn
×7
Sanghyeok Choi
×6
Hyeonah Kim
×6
Emmanuel Bengio
×5
Nikolay Malkin
×5
Taeyoung Yun
×4
Jarrid Rector-Brooks
×3
Jiwoo Son
×3
Moksh Jain
×3
Siddarth Venkatraman
×3

Papers

  1. Adaptive Inference-Time Scaling via Cyclic Diffusion Search
    NeurIPS 2025 ·
    Gyubin Lee
    ,
    Bao Truong
    ,
    Jaesik Yoon
    ,
    Dongwoo Lee
    , Minsu Kim,
    Yoshua Bengio
    ,
    Sungjin Ahn
  2. Adaptive teachers for amortized samplers
    ICLR 2025 · Minsu Kim,
    Sanghyeok Choi
    ,
    Taeyoung Yun
    ,
    Emmanuel Bengio
    ,
    Leo Feng
    ,
    Jarrid Rector-Brooks
    ,
    Sungsoo Ahn
    ,
    Jinkyoo Park
    ,
    Nikolay Malkin
    ,
    Yoshua Bengio
  3. Ant Colony Sampling with GFlowNets for Combinatorial Optimization
    AISTATS 2025 · Minsu Kim,
    Sanghyeok Choi
    ,
    Hyeonah Kim
    ,
    Jiwoo Son
    ,
    Jinkyoo Park
    ,
    Yoshua Bengio
  4. Generative Flows on Synthetic Pathway for Drug Design
    ICLR 2025 ·
    Seonghwan Seo
    , Minsu Kim,
    Tony Shen
    ,
    Martin Ester
    ,
    Jinkyoo Park
    ,
    Sungsoo Ahn
    ,
    Woo Youn Kim
  5. Improved Off-policy Reinforcement Learning in Biological Sequence Design
    ICML 2025 ·
    Hyeonah Kim
    , Minsu Kim,
    Taeyoung Yun
    ,
    Sanghyeok Choi
    ,
    Emmanuel Bengio
    ,
    Alex Hernández-García
    ,
    Jinkyoo Park
  6. Learning Diverse Attacks on Large Language Models for Robust Red-Teaming and Safety Tuning
    ICLR 2025 ·
    Seanie Lee
    , Minsu Kim,
    Lynn Cherif
    ,
    David Dobre
    ,
    Juho Lee
    ,
    Sung Ju Hwang
    ,
    Kenji Kawaguchi
    ,
    Gauthier Gidel
    ,
    Yoshua Bengio
    ,
    Nikolay Malkin
    ,
    Moksh Jain
  7. MOFFlow: Flow Matching for Structure Prediction of Metal-Organic Frameworks
    ICLR 2025 ·
    Nayoung Kim
    ,
    Seongsu Kim
    , Minsu Kim,
    Jinkyoo Park
    ,
    Sungsoo Ahn
  8. Outsourced Diffusion Sampling: Efficient Posterior Inference in Latent Spaces of Generative Models
    ICML 2025 ·
    Siddarth Venkatraman
    ,
    Mohsin Hasan
    , Minsu Kim,
    Luca Scimeca
    ,
    Marcin Sendera
    ,
    Yoshua Bengio
    ,
    Glen Berseth
    ,
    Nikolay Malkin
  9. RL4CO: An Extensive Reinforcement Learning for Combinatorial Optimization Benchmark
    SIGKDD 2025 ·
    Federico Berto
    ,
    Chuanbo Hua
    ,
    Junyoung Park
    ,
    Laurin Luttmann
    ,
    Yining Ma
    ,
    Fanchen Bu
    ,
    Jiarui Wang
    ,
    Haoran Ye
    , Minsu Kim,
    Sanghyeok Choi
    ,
    Nayeli Gast Zepeda
    ,
    André Hottung
    ,
    Jianan Zhou
    ,
    Jieyi Bi
    ,
    Yu Hu
    ,
    Fei Liu
    ,
    Hyeonah Kim
    ,
    Jiwoo Son
    ,
    Haeyeon Kim
    ,
    Davide Angioni
    ,
    Wouter Kool
    ,
    Zhiguang Cao
    ,
    Qingfu Zhang
    ,
    Joungho Kim
    ,
    Jie Zhang
    ,
    Kijung Shin
    ,
    Cathy Wu
    ,
    Sungsoo Ahn
    ,
    Guojie Song
    ,
    Changhyun Kwon
    ,
    Kevin Tierney
    ,
    Lin Xie
    ,
    Jinkyoo Park
  10. Trajectory Balance with Asynchrony: Decoupling Exploration and Learning for Fast, Scalable LLM Post-Training
    NeurIPS 2025 ·
    Brian R. Bartoldson
    ,
    Siddarth Venkatraman
    ,
    James Diffenderfer
    ,
    Moksh Jain
    ,
    Tal Ben-Nun
    ,
    Seanie Lee
    , Minsu Kim,
    Johan S. Obando-Ceron
    ,
    Yoshua Bengio
    ,
    Bhavya Kailkhura
  11. Accelerating String-key Learned Index Structures via Memoization-based Incremental Training
    VLDB 2024 · Minsu Kim,
    Jinwoo Hwang
    ,
    Guseul Heo
    ,
    Seiyeon Cho
    ,
    Divya Mahajan
    ,
    Jongse Park
  12. Amortizing intractable inference in diffusion models for vision, language, and control
    NeurIPS 2024 ·
    Siddarth Venkatraman
    ,
    Moksh Jain
    ,
    Luca Scimeca
    , Minsu Kim,
    Marcin Sendera
    ,
    Mohsin Hasan
    ,
    Luke Rowe
    ,
    Sarthak Mittal
    ,
    Pablo Lemos
    ,
    Emmanuel Bengio
    ,
    Alexandre Adam
    ,
    Jarrid Rector-Brooks
    ,
    Yoshua Bengio
    ,
    Glen Berseth
    ,
    Nikolay Malkin
  13. Equity-Transformer: Solving NP-Hard Min-Max Routing Problems as Sequential Generation with Equity Context
    AAAI 2024 ·
    Jiwoo Son
    , Minsu Kim,
    Sanghyeok Choi
    ,
    Hyeonah Kim
    ,
    Jinkyoo Park
  14. Genetic-guided GFlowNets for Sample Efficient Molecular Optimization
    NeurIPS 2024 ·
    Hyeonah Kim
    , Minsu Kim,
    Sanghyeok Choi
    ,
    Jinkyoo Park
  15. Improved off-policy training of diffusion samplers
    NeurIPS 2024 ·
    Marcin Sendera
    , Minsu Kim,
    Sarthak Mittal
    ,
    Pablo Lemos
    ,
    Luca Scimeca
    ,
    Jarrid Rector-Brooks
    ,
    Alexandre Adam
    ,
    Yoshua Bengio
    ,
    Nikolay Malkin
  16. Learning to Scale Logits for Temperature-Conditional GFlowNets
    ICML 2024 · Minsu Kim,
    Joohwan Ko
    ,
    Taeyoung Yun
    ,
    Dinghuai Zhang
    ,
    Ling Pan
    ,
    Woochang Kim
    ,
    Jinkyoo Park
    ,
    Emmanuel Bengio
    ,
    Yoshua Bengio
  17. Local Search GFlowNets
    ICLR 2024 · Minsu Kim,
    Taeyoung Yun
    ,
    Emmanuel Bengio
    ,
    Dinghuai Zhang
    ,
    Yoshua Bengio
    ,
    Sungsoo Ahn
    ,
    Jinkyoo Park
  18. Pessimistic Backward Policy for GFlowNets
    NeurIPS 2024 ·
    Hyosoon Jang
    ,
    Yunhui Jang
    , Minsu Kim,
    Jinkyoo Park
    ,
    Sungsoo Ahn
  19. Symmetric Replay Training: Enhancing Sample Efficiency in Deep Reinforcement Learning for Combinatorial Optimization
    ICML 2024 ·
    Hyeonah Kim
    , Minsu Kim,
    Sungsoo Ahn
    ,
    Jinkyoo Park