Learning to Scale Logits for Temperature-Conditional GFlowNets. - Minsu Kim; Joohwan Ko; Dinghuai Zhang; Ling Pan; Taeyoung Yun; Woochang Kim; Jinkyoo Park; Yoshua Bengio (CoRR, 2023)

Local Search GFlowNets. - Minsu Kim; Taeyoung Yun; Emmanuel Bengio; Dinghuai Zhang; Yoshua Bengio; Sungsoo Ahn; Jinkyoo Park (ICLR, 2024)

Learning to Scale Logits for Temperature-Conditional GFlowNets. - Minsu Kim; Joohwan Ko; Taeyoung Yun; Dinghuai Zhang; Ling Pan; Woochang Kim; Jinkyoo Park; Emmanuel Bengio; Yoshua Bengio (ICML, 2024)

An Offline Meta Black-box Optimization Framework for Adaptive Design of Urban Traffic Light Management Systems. - Taeyoung Yun; Kanghoon Lee; Sujin Yun; Ilmyung Kim; Won-Woo Jung; Min-Cheol Kwon; Kyujin Choi; Yoohyeon Lee; Jinkyoo Park (KDD, 2024)

GTA: Generative Trajectory Augmentation with Guidance for Offline Reinforcement Learning. - Jaewoo Lee; Sujin Yun; Taeyoung Yun; Jinkyoo Park (NeurIPS, 2024)

Guided Trajectory Generation with Diffusion Models for Offline Model-based Optimization. - Taeyoung Yun; Sujin Yun; Jaewoo Lee; Jinkyoo Park (NeurIPS, 2024)

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 (CoRR, 2024)

Improved Off-policy Reinforcement Learning in Biological Sequence Design. - Hyeonah Kim; Minsu Kim; Taeyoung Yun; Sanghyeok Choi; Emmanuel Bengio; Alex Hernández-García; Jinkyoo Park (CoRR, 2024)