Diffusion

BridgeDrive: Diffusion Bridge Policy for Closed-Loop Trajectory Planning in Autonomous Driving
Shu Liu*, Wenlin Chen*, Weihao Li*, Zheng Wang*, Lijin Yang, Jianing Huang, Yipin Zhang, Zhongzhan Huang, Ze Cheng, Hao Yang
ICLR 2026
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DiffRatio: Training One-Step Diffusion Models Without Teacher Supervision
Wenlin Chen*, Mingtian Zhang*, Jiajun He*, Zijing Ou, José Miguel Hernández-Lobato, Bernhard Schölkopf, David Barber
Preprint
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Bridging Deep Learning and Probabilistic Inference: Towards Data Efficiency, Identifiability, and Sampling Scalability
Wenlin Chen
PhD Thesis
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Progressive Tempering Sampler with Diffusion
Severi Rissanen*, RuiKang OuYang*, Jiajun He, Wenlin Chen, Markus Heinonen, Arno Solin, José Miguel Hernández-Lobato
ICML 2025
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Training Neural Samplers with Reverse Diffusive KL Divergence
Jiajun He*, Wenlin Chen*, Mingtian Zhang*, David Barber, José Miguel Hernández-Lobato
AISTATS 2025
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Your Image is Secretly the Last Frame of a Pseudo Video
Wenlong Chen*, Wenlin Chen*, Lapo Rastrelli, Yingzhen Li
DeLTa Workshop @ ICLR 2025
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Diffusive Gibbs Sampling
Wenlin Chen*, Mingtian Zhang*, Brooks Paige, José Miguel Hernández-Lobato, David Barber
ICML 2024
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