Alexander Novikov
Alexander Novikov
Research scientist, DeepMind
Verified email at google.com
Title
Cited by
Cited by
Year
Tensorizing neural networks
A Novikov, D Podoprikhin, A Osokin, D Vetrov
Advances in Neural Information Processing Systems, 442-450, 2015
3882015
Ultimate tensorization: compressing convolutional and FC layers alike
T Garipov, D Podoprikhin, A Novikov, D Vetrov
arXiv preprint arXiv:1611.03214, 2016
612016
Expressive power of recurrent neural networks
V Khrulkov, A Novikov, I Oseledets
International Conference on Learning Representations (ICLR), 2018
522018
Exponential machines
A Novikov, M Trofimov, I Oseledets
Bulletin of the Polish Academy of Sciences: Technical Sciences 6, 2018
492018
Putting MRFs on a tensor train
A Novikov, A Rodomanov, A Osokin, D Vetrov
International Conference on Machine Learning, 811-819, 2014
222014
Scalable Gaussian Processes with Billions of Inducing Inputs via Tensor Train Decomposition
P Izmailov, A Novikov, D Kropotov
The 21st International Conference on Artificial Intelligence and Statistics …, 2018
152018
Tensor Train decomposition on TensorFlow (T3F)
A Novikov, P Izmailov, V Khrulkov, M Figurnov, I Oseledets
Journal of Machine Learning Research 21, 2020
82020
Task-Relevant Adversarial Imitation Learning
K Zolna, S Reed, A Novikov, SG Colmenarej, D Budden, S Cabi, M Denil, ...
arXiv preprint arXiv:1910.01077, 2019
52019
Scaling data-driven robotics with reward sketching and batch reinforcement learning
S Cabi, SG Colmenarejo, A Novikov, K Konyushkova, S Reed, R Jeong, ...
arXiv preprint arXiv:1909.12200, 2019
5*2019
Low-rank Riemannian eigensolver for high-dimensional Hamiltonians
M Rakhuba, A Novikov, I Oseledets
Journal of Computational Physics, 2019
32019
Visual Imitation with a Minimal Adversary
S Reed, Y Aytar, Z Wang, T Paine, A van den Oord, T Pfaff, S Gomez, ...
22018
Acme: A Research Framework for Distributed Reinforcement Learning
M Hoffman, B Shahriari, J Aslanides, G Barth-Maron, F Behbahani, ...
arXiv preprint arXiv:2006.00979, 2020
12020
Critic Regularized Regression
Z Wang, A Novikov, K Żołna, JT Springenberg, S Reed, B Shahriari, ...
arXiv preprint arXiv:2006.15134, 2020
2020
RL Unplugged: Benchmarks for Offline Reinforcement Learning
C Gulcehre, Z Wang, A Novikov, TL Paine, SG Colmenarejo, K Zolna, ...
arXiv preprint arXiv:2006.13888, 2020
2020
Action selection neural network training using imitation learning in latent space
SE Reed, Y Aytar, Z Wang, T Paine, SG Colmenarejo, D Budden, T Pfaff, ...
US Patent App. 16/586,437, 2020
2020
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