Sanghyeok Choi

According to our database, Sanghyeok Choi authored at least 18 papers between 2023 and 2026.

Collaborative distances:

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

2026

Solving Integer Linear Programming with Parallel Tempering.

Kyuil Sim, Sanghyeok Choi, Jinkyoo Park

CoRR, May, 2026

Aligning Few-Step Generative Models by Amortizing Sample-based Variational Inference.

Jaewoo Lee, Hyeongyu Kang, Dohyun Kim, Kyuil Sim, Woocheol Shin, Minsu Kim, Taeyoung Yun, Jeongjae Lee, Sanghyeok Choi, Tabitha Edith Lee, Jong Chul Ye, Jinkyoo Park

CoRR, May, 2026

Discrete diffusion samplers and bridges: Off-policy algorithms and applications in latent spaces.

Arran Carter, Sanghyeok Choi, Kirill Tamogashev, Víctor Elvira, Nikolay Malkin

CoRR, February, 2026

SocraticKG: Knowledge Graph Construction via QA-Driven Fact Extraction.

Sanghyeok Choi, Woosang Jeon, Kyuseok Yang, Taehyeong Kim

CoRR, January, 2026

Bridging the Lab-to-Field gap in plant disease diagnosis through unsupervised domain adaptation enhanced by background recomposition.

Woosang Jeon, Taehyeong Kim, Sanghyeok Choi, Kyuseok Yang, Seongyeop Kim, Mungyeong Song

Ecol. Informatics, 2026

2025

Reinforced sequential Monte Carlo for amortised sampling.

Sanghyeok Choi, Sarthak Mittal, Víctor Elvira, Jinkyoo Park, Nikolay Malkin

CoRR, October, 2025

Diffusion Alignment as Variational Expectation-Maximization.

Jaewoo Lee, Minsu Kim, Sanghyeok Choi, Inhyuck Song, Sujin Yun, Hyeongyu Kang, Woocheol Shin, Taeyoung Yun, Kiyoung Om, Jinkyoo Park

CoRR, October, 2025

Knowledge Synthesis of Photosynthesis Research Using a Large Language Model.

Seungri Yoon, Woosang Jeon, Sanghyeok Choi, Taehyeong Kim, Tae In Ahn

CoRR, February, 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

Adaptive teachers for amortized samplers.

Minsu Kim, Sanghyeok Choi, Taeyoung Yun, Emmanuel Bengio, Leo Feng, Jarrid Rector-Brooks, Sungsoo Ahn, Jinkyoo Park, Nikolay Malkin, Yoshua Bengio

Proceedings of the Thirteenth International Conference on Learning Representations, 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

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

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

Solving NP-hard Min-max Routing Problems as Sequential Generation with Equity Context.

Jiwoo Son, Minsu Kim, Sanghyeok Choi, Jinkyoo Park

CoRR, 2023

Multi-Agent Reinforcement Learning Based Actuator Control for EV HVAC Systems.

Sungho Joo, Dongmin Lee, Minseop Kim, Taeho Lee, Sanghyeok Choi, Seungju Kim, Jeyeol Lee, Joongjae Kim, Yongsub Lim, Jeong-Hoon Lee

IEEE Access, 2023