| RL4CO: a unified reinforcement learning for combinatorial optimization library F Berto*, C Hua*, J Park*, M Kim, H Kim, J Son, H Kim, J Kim, J Park NeurIPS 2023 Workshop: New Frontiers in Graph Learning, 2023 | 28* | 2023 |
| Meta-sage: Scale meta-learning scheduled adaptation with guided exploration for mitigating scale shift on combinatorial optimization J Son*, M Kim*, H Kim, J Park International Conference on Machine Learning, 32194-32210, 2023 | 23* | 2023 |
| Ant Colony Sampling with GFlowNets for Combinatorial Optimization M Kim*, S Choi*, H Kim, J Son, J Park, Y Bengio arXiv preprint arXiv:2403.07041, 2024 | 18 | 2024 |
| Equity-Transformer: Solving NP-Hard Min-Max Routing Problems as Sequential Generation with Equity Context J Son*, M Kim*, S Choi, H Kim, J Park Proceedings of the AAAI Conference on Artificial Intelligence 38 (18), 20265 …, 2024 | 17* | 2024 |
| Genetic-guided GFlowNets for sample efficient molecular optimization H Kim, M Kim, S Choi, J Park The Thirty-eighth Annual Conference on Neural Information Processing Systems …, 2024 | 7* | 2024 |
| A Neural Separation Algorithm for the Rounded Capacity Inequalities H Kim, J Park, C Kwon INFORMS Journal on Computing, 2024 | 6 | 2024 |
| Symmetric Replay Training: Enhancing Sample Efficiency in Deep Reinforcement Learning for Combinatorial Optimization H Kim, M Kim, S Ahn, J Park ICML 2024, 2024 | 4* | 2024 |
| Neural Coarsening Process for Multi-level Graph Combinatorial Optimization H Kim, M Kim, C Kwon, J Park NeurIPS 2022 Workshop: New Frontiers in Graph Learning, 2022 | 1 | 2022 |
| Improved Off-policy Reinforcement Learning in Biological Sequence Design H Kim, M Kim, T Yun, S Choi, E Bengio, A Hernández-García, J Park arXiv preprint arXiv:2410.04461, 2024 | | 2024 |
Minsu KimPostdoc at Mila & KAISTVerified email at mila.quebec