Hyeonah Kim

20 papers A* 6A 1Journal 11Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Synthesizable Molecular Generation via Soft-constrained GFlowNets with Rich Chemical Priors.
CoRR
Hyeonah Kim, Minsu Kim, Celine Roget, Dionessa Biton, Louis Vaillancourt, Yves V. Brun, Yoshua Bengio, Alex Hernández-García
2025 A conf
Ant Colony Sampling with GFlowNets for Combinatorial Optimization.
AISTATS
Minsu Kim, Sanghyeok Choi, Hyeonah Kim, Jiwoo Son, Jinkyoo Park, Yoshua Bengio
2025 A* conf
Improved Off-policy Reinforcement Learning in Biological Sequence Design.
ICML
Hyeonah Kim, Minsu Kim, Taeyoung Yun, Sanghyeok Choi, Emmanuel Bengio, Alex Hernández-García, Jinkyoo Park
2025 A* conf
Neural Genetic Search in Discrete Spaces.
ICML
Hyeonah Kim, Sanghyeok Choi, Jiwoo Son, Jinkyoo Park, Changhyun Kwon
2025 J jnl
Neural Genetic Search in Discrete Spaces.
CoRR
Hyeonah Kim, Sanghyeok Choi, Jiwoo Son, Jinkyoo Park, Changhyun Kwon
2025 — conf
RL4CO: An Extensive Reinforcement Learning for Combinatorial Optimization Benchmark.
KDD (2)
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
2025 J jnl
Test-Time Search in Neural Graph Coarsening Procedures for the Capacitated Vehicle Routing Problem.
CoRR
Yoonju Sim, Hyeonah Kim, Changhyun Kwon
2024 J jnl
A Neural Separation Algorithm for the Rounded Capacity Inequalities.
INFORMS J. Comput.
Hyeonah Kim, Jinkyoo Park, Changhyun Kwon
2024 J jnl
Ant Colony Sampling with GFlowNets for Combinatorial Optimization.
CoRR
Minsu Kim, Sanghyeok Choi, Jiwoo Son, Hyeonah Kim, Jinkyoo Park, Yoshua Bengio
2024 A* conf
Equity-Transformer: Solving NP-Hard Min-Max Routing Problems as Sequential Generation with Equity Context.
AAAI
Jiwoo Son, Minsu Kim, Sanghyeok Choi, Hyeonah Kim, Jinkyoo Park
2024 A* conf
Genetic-guided GFlowNets for Sample Efficient Molecular Optimization.
NeurIPS
Hyeonah Kim, Minsu Kim, Sanghyeok Choi, Jinkyoo Park
2024 J jnl
Genetic-guided GFlowNets: Advancing in Practical Molecular Optimization Benchmark.
CoRR
Hyeonah Kim, Minsu Kim, Sanghyeok Choi, Jinkyoo Park
2024 J jnl
Improved Off-policy Reinforcement Learning in Biological Sequence Design.
CoRR
Hyeonah Kim, Minsu Kim, Taeyoung Yun, Sanghyeok Choi, Emmanuel Bengio, Alex Hernández-García, Jinkyoo Park
2024 A* conf
Symmetric Replay Training: Enhancing Sample Efficiency in Deep Reinforcement Learning for Combinatorial Optimization.
ICML
Hyeonah Kim, Minsu Kim, Sungsoo Ahn, Jinkyoo Park
2023 J jnl
A Neural Separation Algorithm for the Rounded Capacity Inequalities.
CoRR
Hyeonah Kim, Jinkyoo Park, Changhyun Kwon
2023 A* conf
Meta-SAGE: Scale Meta-Learning Scheduled Adaptation with Guided Exploration for Mitigating Scale Shift on Combinatorial Optimization.
ICML
Jiwoo Son, Minsu Kim, Hyeonah Kim, Jinkyoo Park
2023 J jnl
Meta-SAGE: Scale Meta-Learning Scheduled Adaptation with Guided Exploration for Mitigating Scale Shift on Combinatorial Optimization.
CoRR
Jiwoo Son, Minsu Kim, Hyeonah Kim, Jinkyoo Park
2023 J jnl
RL4CO: an Extensive Reinforcement Learning for Combinatorial Optimization Benchmark.
CoRR
Federico Berto, Chuanbo Hua, Junyoung Park, Minsu Kim, Hyeonah Kim, Jiwoo Son, Haeyeon Kim, Joungho Kim, Jinkyoo Park
2023 J jnl
Symmetric Exploration in Combinatorial Optimization is Free!
CoRR
Hyeonah Kim, Minsu Kim, Sungsoo Ahn, Jinkyoo Park
2013 — conf
To be biased or not to be: choosing between design fixation and design intentionality.
CHI Extended Abstracts
Jieun Kim, Hokyoung Ryu, Hyeonah Kim