Alexander Novikov
Alexander Novikov
Research scientist, DeepMind
Verified email at google.com
TitleCited byYear
Tensorizing neural networks
A Novikov, D Podoprikhin, A Osokin, D Vetrov
Advances in Neural Information Processing Systems, 442-450, 2015
2772015
Ultimate tensorization: compressing convolutional and FC layers alike
T Garipov, D Podoprikhin, A Novikov, D Vetrov
arXiv preprint arXiv:1611.03214, 2016
372016
Expressive power of recurrent neural networks
V Khrulkov, A Novikov, I Oseledets
International Conference on Learning Representations (ICLR), 2018
322018
Exponential machines
A Novikov, M Trofimov, I Oseledets
Bulletin of the Polish Academy of Sciences: Technical Sciences 6, 2018
28*2018
Putting MRFs on a tensor train
A Novikov, A Rodomanov, A Osokin, D Vetrov
International Conference on Machine Learning, 811-819, 2014
182014
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
82018
Tensor Train decomposition on TensorFlow (T3F)
A Novikov, P Izmailov, V Khrulkov, M Figurnov, I Oseledets
arXiv preprint arXiv:1801.01928, 2018
42018
Low-rank Riemannian eigensolver for high-dimensional Hamiltonians
M Rakhuba, A Novikov, I Oseledets
Journal of Computational Physics, 2019
12019
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
2019
A Framework for Data-Driven Robotics
S Cabi, SG Colmenarejo, A Novikov, K Konyushkova, S Reed, R Jeong, ...
arXiv preprint arXiv:1909.12200, 2019
2019
Visual Imitation with a Minimal Adversary
S Reed, Y Aytar, Z Wang, T Paine, A van den Oord, T Pfaff, S Gomez, ...
2018
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Articles 1–11