Yan Wu

According to our database, Yan Wu authored at least 11 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

On a continuous time model of gradient descent dynamics and instability in deep learning.

Mihaela Rosca, Yan Wu, Chongli Qin, Benoit Dherin

Trans. Mach. Learn. Res., 2023

2022

Towards Learning Universal Audio Representations.

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

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Discretization Drift in Two-Player Games.

Mihaela Rosca, Yan Wu, Benoit Dherin, David Barrett

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Product Kanerva Machines: Factorized Bayesian Memory.

Adam H. Marblestone, Yan Wu, Greg Wayne

CoRR, 2020

Training Generative Adversarial Networks by Solving Ordinary Differential Equations.

Chongli Qin, Yan Wu, Jost Tobias Springenberg, Andy Brock, Jeff Donahue, Timothy P. Lillicrap, Pushmeet Kohli

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

LOGAN: Latent Optimisation for Generative Adversarial Networks.

Yan Wu, Jeff Donahue, David Balduzzi, Karen Simonyan, Timothy P. Lillicrap

CoRR, 2019

Shaping Belief States with Generative Environment Models for RL.

Karol Gregor, Danilo Jimenez Rezende, Frederic Besse, Yan Wu, Hamza Merzic, Aäron van den Oord

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Deep Compressed Sensing.

Yan Wu, Mihaela Rosca, Timothy P. Lillicrap

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Optimizing Agent Behavior over Long Time Scales by Transporting Value.

Chia-Chun Hung, Timothy P. Lillicrap, Josh Abramson, Yan Wu, Mehdi Mirza, Federico Carnevale, Arun Ahuja, Greg Wayne

CoRR, 2018

Learning Attractor Dynamics for Generative Memory.

Yan Wu, Gregory Wayne, Karol Gregor, Timothy P. Lillicrap

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

The Kanerva Machine: A Generative Distributed Memory.

Yan Wu, Greg Wayne, Alex Graves, Timothy P. Lillicrap

Proceedings of the 6th International Conference on Learning Representations, 2018