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2020 – today
- 2025
[c9]Minsu Kim, Sanghyeok Choi, Hyeonah Kim, Jiwoo Son, Jinkyoo Park, Yoshua Bengio:
Ant Colony Sampling with GFlowNets for Combinatorial Optimization. AISTATS 2025: 469-477- [c8]Hyeonah Kim, Minsu Kim, Taeyoung Yun, Sanghyeok Choi, Emmanuel Bengio, Alex Hernández-García, Jinkyoo Park:
Improved Off-policy Reinforcement Learning in Biological Sequence Design. ICML 2025 - [c7]Hyeonah Kim, Sanghyeok Choi, Jiwoo Son, Jinkyoo Park, Changhyun Kwon:
Neural Genetic Search in Discrete Spaces. ICML 2025 - [c6]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:
RL4CO: An Extensive Reinforcement Learning for Combinatorial Optimization Benchmark. KDD (2) 2025: 5278-5289 - [i9]Hyeonah Kim, Sanghyeok Choi, Jiwoo Son, Jinkyoo Park, Changhyun Kwon:
Neural Genetic Search in Discrete Spaces. CoRR abs/2502.10433 (2025) - [i8]Yoonju Sim, Hyeonah Kim, Changhyun Kwon:
Test-Time Search in Neural Graph Coarsening Procedures for the Capacitated Vehicle Routing Problem. CoRR abs/2510.00958 (2025) - 2024
- [j1]Hyeonah Kim, Jinkyoo Park, Changhyun Kwon:
A Neural Separation Algorithm for the Rounded Capacity Inequalities. INFORMS J. Comput. 36(4): 987-1005 (2024) - [c5]Jiwoo Son, Minsu Kim, Sanghyeok Choi, Hyeonah Kim, Jinkyoo Park:
Equity-Transformer: Solving NP-Hard Min-Max Routing Problems as Sequential Generation with Equity Context. AAAI 2024: 20265-20273 - [c4]Hyeonah Kim, Minsu Kim, Sungsoo Ahn, Jinkyoo Park:
Symmetric Replay Training: Enhancing Sample Efficiency in Deep Reinforcement Learning for Combinatorial Optimization. ICML 2024: 24110-24136 - [c3]Hyeonah Kim, Minsu Kim, Sanghyeok Choi, Jinkyoo Park:
Genetic-guided GFlowNets for Sample Efficient Molecular Optimization. NeurIPS 2024 - [i7]Hyeonah Kim, Minsu Kim, Sanghyeok Choi, Jinkyoo Park:
Genetic-guided GFlowNets: Advancing in Practical Molecular Optimization Benchmark. CoRR abs/2402.05961 (2024) - [i6]Minsu Kim, Sanghyeok Choi, Jiwoo Son, Hyeonah Kim, Jinkyoo Park, Yoshua Bengio:
Ant Colony Sampling with GFlowNets for Combinatorial Optimization. CoRR abs/2403.07041 (2024) - [i5]Hyeonah Kim, Minsu Kim, Taeyoung Yun, Sanghyeok Choi, Emmanuel Bengio, Alex Hernández-García, Jinkyoo Park:
Improved Off-policy Reinforcement Learning in Biological Sequence Design. CoRR abs/2410.04461 (2024) - 2023
- [c2]Jiwoo Son, Minsu Kim, Hyeonah Kim, Jinkyoo Park:
Meta-SAGE: Scale Meta-Learning Scheduled Adaptation with Guided Exploration for Mitigating Scale Shift on Combinatorial Optimization. ICML 2023: 32194-32210 - [i4]Hyeonah Kim, Minsu Kim, Sungsoo Ahn, Jinkyoo Park:
Symmetric Exploration in Combinatorial Optimization is Free! CoRR abs/2306.01276 (2023) - [i3]Jiwoo Son, Minsu Kim, Hyeonah Kim, Jinkyoo Park:
Meta-SAGE: Scale Meta-Learning Scheduled Adaptation with Guided Exploration for Mitigating Scale Shift on Combinatorial Optimization. CoRR abs/2306.02688 (2023) - [i2]Federico Berto, Chuanbo Hua, Junyoung Park, Minsu Kim, Hyeonah Kim, Jiwoo Son, Haeyeon Kim, Joungho Kim, Jinkyoo Park:
RL4CO: an Extensive Reinforcement Learning for Combinatorial Optimization Benchmark. CoRR abs/2306.17100 (2023) - [i1]Hyeonah Kim, Jinkyoo Park, Changhyun Kwon:
A Neural Separation Algorithm for the Rounded Capacity Inequalities. CoRR abs/2306.17283 (2023)
2010 – 2019
- 2013
- [c1]Jieun Kim, Hokyoung Ryu, Hyeonah Kim:
To be biased or not to be: choosing between design fixation and design intentionality. CHI Extended Abstracts 2013: 349-354
Coauthor Index
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