Yan Wu - RankMe

19 papers A* 5Misc 1Journal 12Unranked 1

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