Yan Wu
Yan Wu
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Cited by
Cited by
Deep compressed sensing
Y Wu, M Rosca, T Lillicrap
International Conference on Machine Learning, 6850-6860, 2019
Optimizing agent behavior over long time scales by transporting value
CC Hung, T Lillicrap, J Abramson, Y Wu, M Mirza, F Carnevale, A Ahuja, ...
Nature communications 10 (1), 5223, 2019
Shaping belief states with generative environment models for rl
K Gregor, D Jimenez Rezende, F Besse, Y Wu, H Merzic, A van den Oord
Advances in Neural Information Processing Systems 32, 2019
Logan: Latent optimisation for generative adversarial networks
Y Wu, J Donahue, D Balduzzi, K Simonyan, T Lillicrap
arXiv preprint arXiv:1912.00953, 2019
Towards learning universal audio representations
L Wang, P Luc, Y Wu, A Recasens, L Smaira, A Brock, A Jaegle, ...
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
The kanerva machine: A generative distributed memory
Y Wu, G Wayne, A Graves, T Lillicrap
arXiv preprint arXiv:1804.01756, 2018
Training generative adversarial networks by solving ordinary differential equations
C Qin, Y Wu, JT Springenberg, A Brock, J Donahue, T Lillicrap, P Kohli
Advances in Neural Information Processing Systems 33, 5599-5609, 2020
Learning attractor dynamics for generative memory
Y Wu, G Wayne, K Gregor, T Lillicrap
Advances in Neural Information Processing Systems 31, 2018
Discretization drift in two-player games
MC Rosca, Y Wu, B Dherin, D Barrett
International Conference on Machine Learning, 9064-9074, 2021
Product kanerva machines: Factorized bayesian memory
A Marblestone, Y Wu, G Wayne
arXiv preprint arXiv:2002.02385, 2020
Deep compressed sensing. arXiv 2019
Y Wu, M Rosca, T Lillicrap
arXiv preprint arXiv:1905.06723, 0
A simulation study of deep belief network combined with the self-organizing mechanism of adaptive resonance theory
Y Wu, HJ Cai
2010 International Conference on Computational Intelligence and Software …, 2010
On a continuous time model of gradient descent dynamics and instability in deep learning
M Rosca, Y Wu, C Qin, B Dherin
arXiv preprint arXiv:2302.01952, 2023
Predicting generalization with degrees of freedom in neural networks
E Grant, Y Wu
ICML 2022 2nd AI for Science Workshop, 2022
Kanerva++: Extending the kanerva machine with differentiable, locally block allocated latent memory
J Ramapuram, Y Wu, A Kalousis
arXiv preprint arXiv:2103.03905, 2021
Compressed sensing using neural networks
Y Wu, TP Lillicrap, M Rosca
US Patent App. 16/818,895, 2020
In Search of Lost Time
Y Wu
University of Waterloo, 2012
Finding a stationary point of a loss function by an iterative algorithm using a variable learning rate value
M Rosca, BRU Dherin, Y Wu, C Qin
US Patent App. 18/232,291, 2024
Stable and efficient training of adversarial models by an iterated update operation of second order or higher
C Qin, Y Wu
US Patent App. 17/337,376, 2021
Mixed Selectivity via Unsupervised Learning in Neural Networks
Y Wu
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