Yan Wu

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 19

Top Topics

Top Venues

Publications

Mihaela Rosca, Yan Wu, Chongli Qin, Benoit Dherin
On a continuous time model of gradient descent dynamics and instability in deep learning. CoRR (2023)
Mihaela Rosca, Yan Wu, Chongli Qin, Benoit Dherin
On a continuous time model of gradient descent dynamics and instability in deep learning. Trans. Mach. Learn. Res. 2023 (2023)
Luyu Wang, Pauline Luc, Yan Wu, Adrià Recasens, Lucas Smaira, Andrew Brock, Andrew Jaegle, Jean-Baptiste Alayrac, Sander Dieleman, João Carreira, Aäron van den Oord
Towards Learning Universal Audio Representations. ICASSP (2022)
Luyu Wang, Pauline Luc, Yan Wu, Adrià Recasens, Lucas Smaira, Andrew Brock, Andrew Jaegle, Jean-Baptiste Alayrac, Sander Dieleman, João Carreira, Aäron van den Oord
Towards Learning Universal Audio Representations. CoRR (2021)
Mihaela Rosca, Yan Wu, Benoit Dherin, David Barrett
Discretization Drift in Two-Player Games. ICML (2021)
Mihaela Rosca, Yan Wu, Benoit Dherin, David G. T. Barrett
Discretization Drift in Two-Player Games. CoRR (2021)
Adam H. Marblestone, Yan Wu, Greg Wayne
Product Kanerva Machines: Factorized Bayesian Memory. CoRR (2020)
Chongli Qin, Yan Wu, Jost Tobias Springenberg, Andy Brock, Jeff Donahue, Timothy P. Lillicrap, Pushmeet Kohli
Training Generative Adversarial Networks by Solving Ordinary Differential Equations. NeurIPS (2020)
Chongli Qin, Yan Wu, Jost Tobias Springenberg, Andrew Brock, Jeff Donahue, Timothy P. Lillicrap, Pushmeet Kohli
Training Generative Adversarial Networks by Solving Ordinary Differential Equations. CoRR (2020)
Yan Wu, Mihaela Rosca, Timothy P. Lillicrap
Deep Compressed Sensing. CoRR (2019)
Karol Gregor, Danilo Jimenez Rezende, Frederic Besse, Yan Wu, Hamza Merzic, Aäron van den Oord
Shaping Belief States with Generative Environment Models for RL. CoRR (2019)
Karol Gregor, Danilo Jimenez Rezende, Frederic Besse, Yan Wu, Hamza Merzic, Aäron van den Oord
Shaping Belief States with Generative Environment Models for RL. NeurIPS (2019)
Yan Wu, Jeff Donahue, David Balduzzi, Karen Simonyan, Timothy P. Lillicrap
LOGAN: Latent Optimisation for Generative Adversarial Networks. CoRR (2019)
Yan Wu, Mihaela Rosca, Timothy P. Lillicrap
Deep Compressed Sensing. ICML (2019)
Yan Wu, Greg Wayne, Alex Graves, Timothy P. Lillicrap
The Kanerva Machine: A Generative Distributed Memory. ICLR (Poster) (2018)
Chia-Chun Hung, Timothy P. Lillicrap, Josh Abramson, Yan Wu, Mehdi Mirza, Federico Carnevale, Arun Ahuja, Greg Wayne
Optimizing Agent Behavior over Long Time Scales by Transporting Value. CoRR (2018)
Yan Wu, Greg Wayne, Karol Gregor, Timothy P. Lillicrap
Learning Attractor Dynamics for Generative Memory. CoRR (2018)
Yan Wu, Greg Wayne, Alex Graves, Timothy P. Lillicrap
The Kanerva Machine: A Generative Distributed Memory. CoRR (2018)
Yan Wu, Gregory Wayne, Karol Gregor, Timothy P. Lillicrap
Learning Attractor Dynamics for Generative Memory. NeurIPS (2018)