Sanghyeok Choi

20 papers A* 5A 1Journal 13Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Bridging the Lab-to-Field gap in plant disease diagnosis through unsupervised domain adaptation enhanced by background recomposition.
Ecol. Informatics
Woosang Jeon, TaeHyeong Kim, Sanghyeok Choi, Kyuseok Yang, Seongyeop Kim, Mungyeong Song
2026 J jnl
Discrete diffusion samplers and bridges: Off-policy algorithms and applications in latent spaces.
CoRR
Arran Carter, Sanghyeok Choi, Kirill Tamogashev, Víctor Elvira, Nikolay Malkin
2026 J jnl
SocraticKG: Knowledge Graph Construction via QA-Driven Fact Extraction.
CoRR
Sanghyeok Choi, Woosang Jeon, Kyuseok Yang, TaeHyeong Kim
2025 A* conf
Adaptive teachers for amortized samplers.
ICLR
Minsu Kim, Sanghyeok Choi, Taeyoung Yun, Emmanuel Bengio, Leo Feng, Jarrid Rector-Brooks, Sungsoo Ahn, Jinkyoo Park, Nikolay Malkin, Yoshua Bengio
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 J jnl
Diffusion Alignment as Variational Expectation-Maximization.
CoRR
Jaewoo Lee, Minsu Kim, Sanghyeok Choi, Inhyuck Song, Sujin Yun, Hyeongyu Kang, Woocheol Shin, Taeyoung Yun, Kiyoung Om, Jinkyoo Park
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 J jnl
Knowledge Synthesis of Photosynthesis Research Using a Large Language Model.
CoRR
Seungri Yoon, Woosang Jeon, Sanghyeok Choi, TaeHyeong Kim, Tae In Ahn
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
Reinforced sequential Monte Carlo for amortised sampling.
CoRR
Sanghyeok Choi, Sarthak Mittal, Víctor Elvira, Jinkyoo Park, Nikolay Malkin
2024 J jnl
Adaptive teachers for amortized samplers.
CoRR
Minsu Kim, Sanghyeok Choi, Taeyoung Yun, Emmanuel Bengio, Leo Feng, Jarrid Rector-Brooks, Sungsoo Ahn, Jinkyoo Park, Nikolay Malkin, Yoshua Bengio
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
2023 J jnl
Multi-Agent Reinforcement Learning Based Actuator Control for EV HVAC Systems.
IEEE Access
Sungho Joo, Dongmin Lee, Minseop Kim, Taeho Lee, Sanghyeok Choi, Seungju Kim, Jeyeol Lee, Joongjae Kim, Yongsub Lim, Jeong-Hoon Lee
2023 J jnl
Solving NP-hard Min-max Routing Problems as Sequential Generation with Equity Context.
CoRR
Jiwoo Son, Minsu Kim, Sanghyeok Choi, Jinkyoo Park