Alexander Novikov
Alexander Novikov
Research scientist, DeepMind
Verified email at
Cited by
Cited by
Tensorizing neural networks
A Novikov, D Podoprikhin, A Osokin, D Vetrov
Advances in Neural Information Processing Systems, 442-450, 2015
A Generalist Agent
S Reed, K Zolna, E Parisotto, SG Colmenarejo, A Novikov, G Barth-Maron, ...
arXiv preprint arXiv:2205.06175, 2022
Discovering faster matrix multiplication algorithms with reinforcement learning
A Fawzi, M Balog, A Huang, T Hubert, B Romera-Paredes, M Barekatain, ...
Nature 610 (7930), 47-53, 2022
Critic Regularized Regression
Z Wang, A Novikov, K Żołna, JT Springenberg, S Reed, B Shahriari, ...
Conference on Neural Information Processing Systems (NeurIPS), 2020
Acme: A research framework for distributed reinforcement learning
MW Hoffman, B Shahriari, J Aslanides, G Barth-Maron, N Momchev, ...
arXiv preprint arXiv:2006.00979, 2020
Ultimate tensorization: compressing convolutional and FC layers alike
T Garipov, D Podoprikhin, A Novikov, D Vetrov
arXiv preprint arXiv:1611.03214, 2016
Rl unplugged: A suite of benchmarks for offline reinforcement learning
C Gulcehre, Z Wang, A Novikov, T Paine, S Gómez, K Zolna, R Agarwal, ...
Advances in Neural Information Processing Systems 33, 7248-7259, 2020
Scaling data-driven robotics with reward sketching and batch reinforcement learning
S Cabi, SG Colmenarejo, A Novikov, K Konyushkova, S Reed, R Jeong, ...
Robotics: Science and Systems (RSS), 2020
Exponential machines
A Novikov, M Trofimov, I Oseledets
Bulletin of the Polish Academy of Sciences: Technical Sciences 6, 2018
Hyperparameter Selection for Offline Reinforcement Learning
TL Paine, C Paduraru, A Michi, C Gulcehre, K Zolna, A Novikov, Z Wang, ...
arXiv preprint arXiv:2007.09055, 2020
Mathematical discoveries from program search with large language models
B Romera-Paredes, M Barekatain, A Novikov, M Balog, MP Kumar, ...
Nature 625 (7995), 468-475, 2024
Expressive power of recurrent neural networks
V Khrulkov, A Novikov, I Oseledets
International Conference on Learning Representations (ICLR), 2018
Benchmarks for Deep Off-Policy Evaluation
J Fu, M Norouzi, O Nachum, G Tucker, Z Wang, A Novikov, M Yang, ...
International Conference on Learning Representations (ICLR), 2021
Offline learning from demonstrations and unlabeled experience
K Zolna, A Novikov, K Konyushkova, C Gulcehre, Z Wang, Y Aytar, ...
arXiv preprint arXiv:2011.13885, 2020
Tensor Train decomposition on TensorFlow (T3F)
A Novikov, P Izmailov, V Khrulkov, M Figurnov, I Oseledets
Journal of Machine Learning Research, Machine Learning Open Source Software …, 2020
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
Task-Relevant Adversarial Imitation Learning
K Zolna, S Reed, A Novikov, SG Colmenarej, D Budden, S Cabi, M Denil, ...
Conference on Robot Learning (CORL), 2020
Putting MRFs on a tensor train
A Novikov, A Rodomanov, A Osokin, D Vetrov
International Conference on Machine Learning, 811-819, 2014
Semi-supervised reward learning for offline reinforcement learning
K Konyushkova, K Zolna, Y Aytar, A Novikov, S Reed, S Cabi, ...
arXiv preprint arXiv:2012.06899, 2020
Low-rank Riemannian eigensolver for high-dimensional Hamiltonians
M Rakhuba, A Novikov, I Oseledets
Journal of Computational Physics, 2019
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