publications

(*) is used to denote equal contribution.

2024

  1. arXiv
    Ant Colony Sampling with GFlowNets for Combinatorial Optimization
    Minsu Kim*, Sanghyeok Choi*, Jiwoo Son, Hyeonah Kim, Jinkyoo Park, and Yoshua Bengio
    arXiv preprint arXiv:2403.07041 2024
  2. arXiv
    Anfinsen Goes Neural: a Graphical Model for Conditional Antibody Design
    Nayoung Kim, Minsu Kim, and Jinkyoo Park
    arXiv preprint arXiv:2402.05982 2024
  3. arXiv
    Learning to Scale Logits for Temperature-Conditional GFlowNets
    Minsu Kim*, Joohwan Ko*, Taeyoung Yun*, Dinghuai Zhang, Ling Pan, Woochang Kim, Jinkyoo Park, Emmanuel Bengio, and Yoshua Bengio
    arXiv preprint arXiv:2310.02823 2024
  4. arXiv
    On diffusion models for amortized inference: Benchmarking and improving stochastic control and sampling
    Marcin Sendera, Minsu Kim, Sarthak Mittal, Pablo Lemos, Luca Scimeca, Jarrid Rector-Brooks, Alexandre Adam, Yoshua Bengio, and Nikolay Malkin
    arXiv preprint arXiv:2402.05098 2024
  5. arXiv
    Genetic-guided GFlowNets: Advancing in Practical Molecular Optimization Benchmark
    Hyeonah Kim, Minsu Kim, Sanghyeok Choi, and Jinkyoo Park
    arXiv preprint arXiv:2402.05961 2024
  6. arXiv
    Symmetric Replay Training: Enhancing Sample Efficiency in Deep Reinforcement Learning for Combinatorial Optimization
    Hyeonah Kim, Minsu Kim, Sungsoo Ahn, and Jinkyoo Park
    2024
  7. AAAI
    Equity-Transformer: Solving NP-hard Min-max Routing Problems as Sequential Generation with Equity Context
    Jiwoo Son*, Minsu Kim*, Sanghyeok Choi, Hyeonah Kim, and Park Jinkyoo
    AAAI Conference on AI 2024
  8. ICLR
    Local Search GFlowNets
    Minsu Kim, Taeyoung Yun, Emmanuel Bengio, Dinghuai Zhang, Yoshua Bengio, Sungsoo Ahn, and Jinkyoo Park
    International Conference on Learning Representations (Spotlight Presentation, 5%) 2024
  9. ICLR
    Learning Energy Decompositions for Partial Inference of GFlowNets
    Hyosoon Jang, Minsu Kim, and Sungsoo Ahn
    International Conference on Learning Representations (Oral Presentation, 1.2%) 2024

2023

  1. arXiv
    Rl4co: an extensive reinforcement learning for combinatorial optimization benchmark
    Federico Berto, Chuanbo Hua, Junyoung Park, Minsu Kim, Hyeonah Kim, Jiwoo Son, Haeyeon Kim, Joungho Kim, and Jinkyoo Park
    arXiv preprint arXiv:2306.17100 2023
  2. Appl. Intell.
    Temporal enhanced inductive graph knowledge tracing
    Donghee Han, Daehee Kim, Minsu Kim, Keejun Han, and Mun Yong Yi
    Applied Intelligence 2023
  3. Bayesian Exploration Imitation Learning-Based Contextual via Design Optimization Method of PAM-4-Based High-Speed Serial Link
    Jihun Kim, Minsu Kim, Haeyeon Kim, Hyunwook Park, Seonguk Choi, Joonsang Park, Boogyo Sim, Keeyoung Son, Seongguk Kim, Jinwook Song, Youngwoo Kim, and Joungho Kim
    IEEE Transactions on Electromagnetic Compatibility 2023
  4. Deep Reinforcement Learning-based Optimal and Fast Hybrid Equalizer Design Method for High Bandwidth Memory (HBM) Module
    Seonguk Choi, Keeyoung Son, Hyunwook Park, Seongguk Kim, Boogyo Sim, Jihun Kim, Joonsang Park, Minsu Kim, Haeyeon Kim, Jinwook Song, Youngwoo Kim, and Joungho Kim
    IEEE Transactions on Components, Packaging and Manufacturing Technology 2023
  5. NeurIPS
    Bootstrapped Training of Score-Conditioned Generator for Offline Design of Biological Sequences
    Minsu Kim, Federico Berto, Sungsoo Ahn, and Jinkyoo Park
    Advances in Neural Information Processing Systems 2023
  6. ICML
    Meta-SAGE: A Scale Meta-Learning Scheduled Adaptation with Guided Exploration for Large Scale Combinatorial Optimization
    Jiwoo Son*, Minsu Kim*, Hyeonah Kim, and Jinkyoo Park
    International Conference on Machine Learning 2023
  7. ICML
    DevFormer: A Symmetric Transformer for Context-Aware Device Placement
    Haeyeon Kim*, Minsu Kim*, Federico Berto, Joungho Kim, and Jinkyoo Park
    International Conference on Machine Learning 2023

2022

  1. Data-Efficient Machine Learning Method for Hardware Routing: Signal Integrity Demonstration to 2PDC and PCIe 6.0
    Minsu Kim, and  others
    In DesignCon 2022
  2. NeurIPS
    Sym-NCO: Leveraging Symmetricity for Neural Combinatorial Optimization
    Minsu Kim, Junyoung Park, and Jinkyoo Park
    Advances in Neural Information Processing Systems 2022
  3. Transformer Network-based Reinforcement Learning Method for Power Distribution Network (PDN) Optimization of High Bandwidth Memory (HBM)
    Hyunwook Park, Minsu Kim, Seongguk Kim, Keunwoo Kim, Haeyeon Kim, Taein Shin, Keeyoung Son, Boogyo Sim, Subin Kim, Seungtaek Jeong, and  others
    IEEE Transactions on Microwave Theory and Techniques 2022
  4. Thermal and Signal Integrity Co-Design and Verification of Embedded Cooling Structure with Thermal Transmission Line (ECS-TTL) for High Bandwidth Memory Module
    Keeyoung Son, Seongguk Kim, Hyunwook Park, Taein Shin, Keunwoo Kim, Minsu Kim, Boogyo Sim, Subin Kim, Gapyeol Park, Shinyoung Park, and  others
    IEEE Transactions on Components, Packaging and Manufacturing Technology 2022

2021

  1. Neural Language Model Enables Extremely Fast and Robust Routing on Interposer
    Minsu Kim, and  others
    In DesignCon 2021
  2. NeurIPS
    Learning collaborative policies to solve NP-hard routing problems
    Minsu Kim, Jinkyoo Park, and Joungho Kim
    Advances in Neural Information Processing Systems 2021
  3. Reinforcement-Learning-Based Signal Integrity Optimization and Analysis of a Scalable 3-D X-Point Array Structure
    Kyungjune Son, Minsu Kim, Hyunwook Park, Daehwan Lho, Keeyoung Son, Keunwoo Kim, Seongsoo Lee, Seungtaek Jeong, Shinyoung Park, Seokwoo Hong, and  others
    IEEE Transactions on Components, Packaging and Manufacturing Technology 2021