Wu, Yan

25 publications

AAAI 2025 DiMSOD: A Diffusion-Based Framework for Multi-Modal Salient Object Detection Shuo Zhang, Jiaming Huang, Wenbing Tang, Yan Wu, Terrence Hu, Xiaogang Xu, Jing Liu

ICML 2025 LEMoN: Label Error Detection Using Multimodal Neighbors Haoran Zhang, Aparna Balagopalan, Nassim Oufattole, Hyewon Jeong, Yan Wu, Jiacheng Zhu, Marzyeh Ghassemi

NeurIPS 2025 PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis Yan Wu, Esther Wershof, Sebastian M Schmon, Marcel Nassar, Błażej Osiński, Ridvan Eksi, Zichao Yan, Rory Stark, Kun Zhang, Thore Graepel

ICCV 2025 UniPhys: Unified Planner and Controller with Diffusion for Flexible Physics-Based Character Control Yan Wu, Korrawe Karunratanakul, Zhengyi Luo, Siyu Tang

NeurIPSW 2024 LEMoN: Label Error Detection Using Multimodal Neighbors Haoran Zhang, Aparna Balagopalan, Nassim Oufattole, Hyewon Jeong, Yan Wu, Jiacheng Zhu, Marzyeh Ghassemi

NeurIPSW 2024 PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis Yan Wu, Esther Wershof, Sebastian M Schmon, Marcel Nassar, Błażej Osiński, Ridvan Eksi, Kun Zhang, Thore Graepel

ICLR 2024 Protein Discovery with Discrete Walk-Jump Sampling Nathan C. Frey, Dan Berenberg, Karina Zadorozhny, Joseph Kleinhenz, Julien Lafrance-Vanasse, Isidro Hotzel, Yan Wu, Stephen Ra, Richard Bonneau, Kyunghyun Cho, Andreas Loukas, Vladimir Gligorijevic, Saeed Saremi

NeurIPS 2023 AbDiffuser: Full-Atom Generation of In-Vitro Functioning Antibodies Karolis Martinkus, Jan Ludwiczak, Wei-Ching Liang, Julien Lafrance-Vanasse, Isidro Hotzel, Arvind Rajpal, Yan Wu, Kyunghyun Cho, Richard Bonneau, Vladimir Gligorijevic, Andreas Loukas

ICLRW 2023 Learning Protein Family Manifolds with Smoothed Energy-Based Models Nathan C. Frey, Dan Berenberg, Joseph Kleinhenz, Isidro Hotzel, Julien Lafrance-Vanasse, Ryan Lewis Kelly, Yan Wu, Arvind Rajpal, Stephen Ra, Richard Bonneau, Kyunghyun Cho, Andreas Loukas, Vladimir Gligorijevic, Saeed Saremi

TMLR 2023 On a Continuous Time Model of Gradient Descent Dynamics and Instability in Deep Learning Mihaela Rosca, Yan Wu, Chongli Qin, Benoit Dherin

NeurIPSW 2023 Protein Discovery with Discrete Walk-Jump Sampling Nathan Frey, Dan Berenberg, Karina Zadorozhny, Joseph Kleinhenz, Julien Lafrance-Vanasse, Isidro Hotzel, Yan Wu, Stephen Ra, Richard Bonneau, Kyunghyun Cho, Vladimir Gligorijevic, Saeed Saremi

NeurIPSW 2022 A Pareto-Optimal Compositional Energy-Based Model for Sampling and Optimization of Protein Sequences Natasa Tagasovska, Nathan C. Frey, Andreas Loukas, Isidro Hotzel, Julien Lafrance-Vanasse, Ryan Lewis Kelly, Yan Wu, Arvind Rajpal, Richard Bonneau, Kyunghyun Cho, Stephen Ra, Vladimir Gligorijevic

CVPR 2022 CRAFT: Cross-Attentional Flow Transformer for Robust Optical Flow Xiuchao Sui, Shaohua Li, Xue Geng, Yan Wu, Xinxing Xu, Yong Liu, Rick Goh, Hongyuan Zhu

ICMLW 2022 Predicting Generalization with Degrees of Freedom in Neural Networks Erin Grant, Yan Wu

ECCV 2022 SAGA: Stochastic Whole-Body Grasping with Contact Yan Wu, Jiahao Wang, Yan Zhang, Siwei Zhang, Otmar Hilliges, Fisher Yu, Siyu Tang

ICML 2021 Discretization Drift in Two-Player Games Mihaela C Rosca, Yan Wu, Benoit Dherin, David Barrett

ICLR 2021 Kanerva++: Extending the Kanerva Machine with Differentiable, Locally Block Allocated Latent Memory Jason Ramapuram, Yan Wu, Alexandros Kalousis

AAAI 2021 Neural Architecture Search as Sparse Supernet Yan Wu, Aoming Liu, Zhiwu Huang, Siwei Zhang, Luc Van Gool

IJCAI 2021 Neural Architecture Search of SPD Manifold Networks Rhea Sanjay Sukthanker, Zhiwu Huang, Suryansh Kumar, Erik Goron Endsjo, Yan Wu, Luc Van Gool

AAAI 2021 TAILOR: Teaching with Active and Incremental Learning for Object Registration Qianli Xu, Nicolas Gauthier, Wenyu Liang, Fen Fang, Hui Li Tan, Ying Sun, Yan Wu, Liyuan Li, Joo-Hwee Lim

NeurIPS 2020 Training Generative Adversarial Networks by Solving Ordinary Differential Equations Chongli Qin, Yan Wu, Jost Tobias Springenberg, Andy Brock, Jeff Donahue, Timothy Lillicrap, Pushmeet Kohli

ICML 2019 Deep Compressed Sensing Yan Wu, Mihaela Rosca, Timothy Lillicrap

NeurIPS 2019 Shaping Belief States with Generative Environment Models for RL Karol Gregor, Danilo Jimenez Rezende, Frederic Besse, Yan Wu, Hamza Merzic, Aaron van den Oord

NeurIPS 2018 Learning Attractor Dynamics for Generative Memory Yan Wu, Gregory Wayne, Karol Gregor, Timothy Lillicrap

ICLR 2018 The Kanerva Machine: A Generative Distributed Memory Yan Wu, Greg Wayne, Alex Graves, Timothy Lillicrap