Taeyoung Yun

25 papers A* 9A 1Journal 14Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Offline Model-Based Optimization: Comprehensive Review.
Trans. Mach. Learn. Res.
Minsu Kim, Jiayao Gu, Ye Yuan, Taeyoung Yun, Zixuan Liu, Yoshua Bengio, Can Chen
2026 A conf
Urban Traffic Network Layout Optimization with Guided Discrete Diffusion Models.
WSDM
Taeyoung Yun, Inhyuck Song, Woocheol Shin, Yujin Shin, Sungpil Woo, Sunhwan Lim, Jinkyoo Park
2025 J jnl
Active Attacks: Red-teaming LLMs via Adaptive Environments.
CoRR
Taeyoung Yun, Pierre-Luc St-Charles, Jinkyoo Park, Yoshua Bengio, Minsu 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 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 A* conf
Learning to Sample Effective and Diverse Prompts for Text-to-Image Generation.
CVPR
Taeyoung Yun, Dinghuai Zhang, Jinkyoo Park, Ling Pan
2025 J jnl
Learning to Sample Effective and Diverse Prompts for Text-to-Image Generation.
CoRR
Taeyoung Yun, Dinghuai Zhang, Jinkyoo Park, Ling Pan
2025 J jnl
Offline Model-Based Optimization: Comprehensive Review.
CoRR
Minsu Kim, Jiayao Gu, Ye Yuan, Taeyoung Yun, Zixuan Liu, Yoshua Bengio, Can Chen
2025 J jnl
Posterior Inference in Latent Space for Scalable Constrained Black-box Optimization.
CoRR
Kiyoung Om, Kyuil Sim, Taeyoung Yun, Hyeongyu Kang, Jinkyoo Park
2025 A* conf
Posterior Inference with Diffusion Models for High-dimensional Black-box Optimization.
ICML
Taeyoung Yun, Kiyoung Om, Jaewoo Lee, Sujin Yun, Jinkyoo Park
2025 J jnl
Posterior Inference with Diffusion Models for High-dimensional Black-box Optimization.
CoRR
Taeyoung Yun, Kiyoung Om, Jaewoo Lee, Sujin Yun, Jinkyoo Park
2025 — conf
Wind Farm Layout Optimization with Diffusion Models.
KDD (2)
Yujin Shin, Taeyoung Yun, Sujin Yun, Sungpil Woo, Sunhwan Lim, Jinkyoo Park
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 A* conf
An Offline Meta Black-box Optimization Framework for Adaptive Design of Urban Traffic Light Management Systems.
KDD
Taeyoung Yun, Kanghoon Lee, Sujin Yun, Ilmyung Kim, Won-Woo Jung, Min-Cheol Kwon, Kyujin Choi, Yoohyeon Lee, Jinkyoo Park
2024 J jnl
An Offline Meta Black-box Optimization Framework for Adaptive Design of Urban Traffic Light Management Systems.
CoRR
Taeyoung Yun, Kanghoon Lee, Sujin Yun, Ilmyung Kim, Won-Woo Jung, Min-Cheol Kwon, Kyujin Choi, Yoohyeon Lee, Jinkyoo Park
2024 A* conf
GTA: Generative Trajectory Augmentation with Guidance for Offline Reinforcement Learning.
NeurIPS
Jaewoo Lee, Sujin Yun, Taeyoung Yun, Jinkyoo Park
2024 J jnl
GTA: Generative Trajectory Augmentation with Guidance for Offline Reinforcement Learning.
CoRR
Jaewoo Lee, Sujin Yun, Taeyoung Yun, Jinkyoo Park
2024 A* conf
Guided Trajectory Generation with Diffusion Models for Offline Model-based Optimization.
NeurIPS
Taeyoung Yun, Sujin Yun, Jaewoo Lee, Jinkyoo Park
2024 J jnl
Guided Trajectory Generation with Diffusion Models for Offline Model-based Optimization.
CoRR
Taeyoung Yun, Sujin Yun, Jaewoo Lee, 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
2024 A* conf
Learning to Scale Logits for Temperature-Conditional GFlowNets.
ICML
Minsu Kim, Joohwan Ko, Taeyoung Yun, Dinghuai Zhang, Ling Pan, Woochang Kim, Jinkyoo Park, Emmanuel Bengio, Yoshua Bengio
2024 A* conf
Local Search GFlowNets.
ICLR
Minsu Kim, Taeyoung Yun, Emmanuel Bengio, Dinghuai Zhang, Yoshua Bengio, Sungsoo Ahn, Jinkyoo Park
2023 J jnl
Learning to Scale Logits for Temperature-Conditional GFlowNets.
CoRR
Minsu Kim, Joohwan Ko, Dinghuai Zhang, Ling Pan, Taeyoung Yun, Woochang Kim, Jinkyoo Park, Yoshua Bengio
2023 J jnl
Local Search GFlowNets.
CoRR
Minsu Kim, Taeyoung Yun, Emmanuel Bengio, Dinghuai Zhang, Yoshua Bengio, Sungsoo Ahn, Jinkyoo Park