Hyeonah Kim

According to our database, Hyeonah Kim authored at least 15 papers between 2013 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Synthesizable Molecular Generation via Soft-constrained GFlowNets with Rich Chemical Priors.

Hyeonah Kim, Minsu Kim, Celine Roget, Dionessa Biton, Louis Vaillancourt, Yves V. Brun, Yoshua Bengio, Alex Hernández-García

CoRR, February, 2026

2025

Test-Time Search in Neural Graph Coarsening Procedures for the Capacitated Vehicle Routing Problem.

Yoonju Sim, Hyeonah Kim, Changhyun Kwon

CoRR, October, 2025

RL4CO: An Extensive Reinforcement Learning for Combinatorial Optimization Benchmark.

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

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

Neural Genetic Search in Discrete Spaces.

Hyeonah Kim, Sanghyeok Choi, Jiwoo Son, Jinkyoo Park, Changhyun Kwon

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Improved Off-policy Reinforcement Learning in Biological Sequence Design.

Hyeonah Kim, Minsu Kim, Taeyoung Yun, Sanghyeok Choi, Emmanuel Bengio, Alex Hernández-García, Jinkyoo Park

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Ant Colony Sampling with GFlowNets for Combinatorial Optimization.

Minsu Kim, Sanghyeok Choi, Hyeonah Kim, Jiwoo Son, Jinkyoo Park, Yoshua Bengio

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

A Neural Separation Algorithm for the Rounded Capacity Inequalities.

Hyeonah Kim, Jinkyoo Park, Changhyun Kwon

INFORMS J. Comput., 2024

Genetic-guided GFlowNets: Advancing in Practical Molecular Optimization Benchmark.

Hyeonah Kim, Minsu Kim, Sanghyeok Choi, Jinkyoo Park

CoRR, 2024

Genetic-guided GFlowNets for Sample Efficient Molecular Optimization.

Hyeonah Kim, Minsu Kim, Sanghyeok Choi, Jinkyoo Park

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Symmetric Replay Training: Enhancing Sample Efficiency in Deep Reinforcement Learning for Combinatorial Optimization.

Hyeonah Kim, Minsu Kim, Sungsoo Ahn, Jinkyoo Park

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Equity-Transformer: Solving NP-Hard Min-Max Routing Problems as Sequential Generation with Equity Context.

Jiwoo Son, Minsu Kim, Sanghyeok Choi, Hyeonah Kim, Jinkyoo Park

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

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, Jinkyoo Park

CoRR, 2023

Symmetric Exploration in Combinatorial Optimization is Free!

Hyeonah Kim, Minsu Kim, Sungsoo Ahn, Jinkyoo Park

CoRR, 2023

Meta-SAGE: Scale Meta-Learning Scheduled Adaptation with Guided Exploration for Mitigating Scale Shift on Combinatorial Optimization.

Jiwoo Son, Minsu Kim, Hyeonah Kim, Jinkyoo Park

Proceedings of the International Conference on Machine Learning, 2023

2013

To be biased or not to be: choosing between design fixation and design intentionality.

Jieun Kim, Hokyoung Ryu, Hyeonah Kim

Proceedings of the 2013 ACM SIGCHI Conference on Human Factors in Computing Systems, 2013