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ORCIDSanghyeok Choi
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2020 – today
- 2025
[c7]Minsu Kim, Sanghyeok Choi, Hyeonah Kim, Jiwoo Son, Jinkyoo Park, Yoshua Bengio:
Ant Colony Sampling with GFlowNets for Combinatorial Optimization. AISTATS 2025: 469-477- [c6]Minsu Kim, Sanghyeok Choi, Taeyoung Yun, Emmanuel Bengio, Leo Feng, Jarrid Rector-Brooks, Sungsoo Ahn, Jinkyoo Park, Nikolay Malkin, Yoshua Bengio:
Adaptive teachers for amortized samplers. ICLR 2025 - [c5]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 - [c4]Hyeonah Kim, Sanghyeok Choi, Jiwoo Son, Jinkyoo Park, Changhyun Kwon:
Neural Genetic Search in Discrete Spaces. ICML 2025 - [c3]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]Seungri Yoon, Woosang Jeon, Sanghyeok Choi, Taehyeong Kim, Tae In Ahn:
Knowledge Synthesis of Photosynthesis Research Using a Large Language Model. CoRR abs/2502.01059 (2025) - [i8]Hyeonah Kim, Sanghyeok Choi, Jiwoo Son, Jinkyoo Park, Changhyun Kwon:
Neural Genetic Search in Discrete Spaces. CoRR abs/2502.10433 (2025) - [i7]Jaewoo Lee, Minsu Kim, Sanghyeok Choi, Inhyuck Song, Sujin Yun, Hyeongyu Kang, Woocheol Shin, Taeyoung Yun, Kiyoung Om, Jinkyoo Park:
Diffusion Alignment as Variational Expectation-Maximization. CoRR abs/2510.00502 (2025) - [i6]Sanghyeok Choi, Sarthak Mittal, Víctor Elvira, Jinkyoo Park, Nikolay Malkin:
Reinforced sequential Monte Carlo for amortised sampling. CoRR abs/2510.11711 (2025) - 2024
- [c2]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 - [c1]Hyeonah Kim, Minsu Kim, Sanghyeok Choi, Jinkyoo Park:
Genetic-guided GFlowNets for Sample Efficient Molecular Optimization. NeurIPS 2024 - [i5]Hyeonah Kim, Minsu Kim, Sanghyeok Choi, Jinkyoo Park:
Genetic-guided GFlowNets: Advancing in Practical Molecular Optimization Benchmark. CoRR abs/2402.05961 (2024) - [i4]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) - [i3]Minsu Kim, Sanghyeok Choi, Taeyoung Yun, Emmanuel Bengio, Leo Feng, Jarrid Rector-Brooks, Sungsoo Ahn, Jinkyoo Park, Nikolay Malkin, Yoshua Bengio:
Adaptive teachers for amortized samplers. CoRR abs/2410.01432 (2024) - [i2]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
- [j1]Sungho Joo, Dongmin Lee, Minseop Kim, Taeho Lee, Sanghyeok Choi, Seungju Kim, Jeyeol Lee, Joongjae Kim, Yongsub Lim, Jeong-Hoon Lee:
Multi-Agent Reinforcement Learning Based Actuator Control for EV HVAC Systems. IEEE Access 11: 7574-7587 (2023) - [i1]Jiwoo Son, Minsu Kim, Sanghyeok Choi, Jinkyoo Park:
Solving NP-hard Min-max Routing Problems as Sequential Generation with Equity Context. CoRR abs/2306.02689 (2023)
Coauthor Index
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