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ORCIDYan Wu 0010
Person information
- affiliation: DeepMind, London, UK
Other persons with the same name
- Yan Wu (aka: Wu Yan) — disambiguation page
- Yan Wu 0001 — TU Eindhoven, Netherlands
- Yan Wu 0002
![[0000-0002-4644-0664]](https://images.weserv.nl/?url=https%3A%2F%2Fdblp.org%2Fimg%2Forcid-mark.12x12.png&q=12&output=webp&max-age=110 "0000-0002-4644-0664")
— A*STAR Institute for Infocomm Research, Singapore (and 1 more) - Yan Wu 0003 — Xidian University, Remote Sensing Image Processing and Fusion Group, Xi'an, China (and 1 more)
- Yan Wu 0004 — Microsoft Corporation
- Yan Wu 0005 — Xidian University, School of Telecommunications Engineering, State Key Laboratory of ISN, Xi'an, China
- Yan Wu 0006 — Georgia Southern University, Department of Mathematical Sciences, Statesboro, GA USA
- Yan Wu 0007 — Indiana University Bloomington, School of Public and Environmental Affairs, IN, USA (and 1 more)
- Yan Wu 0008 — University of Cambridge, UK
- Yan Wu 0009 — Jiangsu University, School of Computer Science and Telecommunication Engineering, Zhenjiang, China
- Yan Wu 0011 — Tongji University, College of Electronics and Information Engineering, Shanghai, China
- Yan Wu 0012 — Stanford University, Medical Center, Radiation Oncology Department, Palo Alto, CA, USA (and 1 more)
- Yan Wu 0013 — Army Engineering University of PLA, Department of Communication and Information Engineering, Nanjing, China (and 1 more)
- Yan Wu 0014 — Beijing Institute of Technology, School of Cyberspace Science and Technology, China (and 1 more)
- Yan Wu 0015 — Chinese Academy of Sciences, Key Laboratory of Power Electronics and Electric Drives, Institute of Electrical Engineering, Beijing, China (and 1 more)
- Yan Wu 0016 — Chinese University of Hong Kong, Department of Information Engineering, Shatin, Hong Kong
- Yan Wu 0017 — Wuhan Textile University, State Key Laboratory of New Textile Materials and Advanced Processing Technologies, School of Electronic and Electrical Engineering, China (and 1 more)
- Yan Wu 0018 — University of Nebraska at Omaha, College of Information Science and Technology, NE, USA
- Yan Wu 0019 — ETH Zurich, Computer Vision Lab, Switzerland
- Yan Wu 0020 — Xidian University, School of Mathematics and Statistics, Xi'an, China
- Yan Wu 0021 — University of Cambridge, UK
- Yan Wu 0022 — University of Illinois Urbana-Champaign, USA
- Yan Wu 0023 (aka: Wu Yan 0023) — NXP Semiconductors, Eindhoven, Netherlands
- Yan Wu 0024 — Changchun University of Science and Technology, School of Computer Science and Technology, Zhongshan Institute, China
- Yan Wu 0025 (aka: Wu Yan 0025) — Guangdong Academy of Sciences, Institute of Intelligent Manufacturing, Guangzhou, China
- Yan Wu 0026 — Lanzhou University, School of Mathematics and Statistics, China
- Yan Wu 0027 — Antibody Engineering, Genentech, Roche
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2020 – today
- 2023
[j1]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)- [i11]Mihaela Rosca, Yan Wu, Chongli Qin, Benoit Dherin:
On a continuous time model of gradient descent dynamics and instability in deep learning. CoRR abs/2302.01952 (2023) - 2022
- [c7]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: 4593-4597 - 2021
- [c6]Mihaela Rosca, Yan Wu, Benoit Dherin, David Barrett:
Discretization Drift in Two-Player Games. ICML 2021: 9064-9074 - [i10]Mihaela Rosca, Yan Wu, Benoit Dherin, David G. T. Barrett:
Discretization Drift in Two-Player Games. CoRR abs/2105.13922 (2021) - [i9]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 abs/2111.12124 (2021) - 2020
- [c5]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 - [i8]Adam H. Marblestone, Yan Wu, Greg Wayne:
Product Kanerva Machines: Factorized Bayesian Memory. CoRR abs/2002.02385 (2020) - [i7]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 abs/2010.15040 (2020)
2010 – 2019
- 2019
- [c4]Yan Wu, Mihaela Rosca, Timothy P. Lillicrap:
Deep Compressed Sensing. ICML 2019: 6850-6860 - [c3]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: 13475-13487 - [i6]Yan Wu, Mihaela Rosca, Timothy P. Lillicrap:
Deep Compressed Sensing. CoRR abs/1905.06723 (2019) - [i5]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 abs/1906.09237 (2019) - [i4]Yan Wu, Jeff Donahue, David Balduzzi, Karen Simonyan, Timothy P. Lillicrap:
LOGAN: Latent Optimisation for Generative Adversarial Networks. CoRR abs/1912.00953 (2019) - 2018
- [c2]Yan Wu, Greg Wayne, Alex Graves, Timothy P. Lillicrap:
The Kanerva Machine: A Generative Distributed Memory. ICLR (Poster) 2018 - [c1]Yan Wu, Gregory Wayne, Karol Gregor, Timothy P. Lillicrap:
Learning Attractor Dynamics for Generative Memory. NeurIPS 2018: 9401-9410 - [i3]Yan Wu, Greg Wayne, Alex Graves, Timothy P. Lillicrap:
The Kanerva Machine: A Generative Distributed Memory. CoRR abs/1804.01756 (2018) - [i2]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 abs/1810.06721 (2018) - [i1]Yan Wu, Greg Wayne, Karol Gregor, Timothy P. Lillicrap:
Learning Attractor Dynamics for Generative Memory. CoRR abs/1811.09556 (2018)
Coauthor Index
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