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Ivan Oseledets

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Empirical study of extreme overfitting points of neural networks

Jun 14, 2019
Daniil Merkulov, Ivan Oseledets

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Universality Theorems for Generative Models

May 27, 2019
Valentin Khrulkov, Ivan Oseledets

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Intrinsic Multi-scale Evaluation of Generative Models

May 27, 2019
Anton Tsitsulin, Marina Munkhoeva, Davide Mottin, Panagiotis Karras, Alex Bronstein, Ivan Oseledets, Emmanuel Müller

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Hyperbolic Image Embeddings

Apr 03, 2019
Valentin Khrulkov, Leyla Mirvakhabova, Evgeniya Ustinova, Ivan Oseledets, Victor Lempitsky

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One time is not enough: iterative tensor decomposition for neural network compression

Mar 24, 2019
Julia Gusak, Maksym Kholyavchenko, Evgeny Ponomarev, Larisa Markeeva, Ivan Oseledets, Andrzej Cichocki

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Generalized Tensor Models for Recurrent Neural Networks

Jan 30, 2019
Valentin Khrulkov, Oleksii Hrinchuk, Ivan Oseledets

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Tensorized Embedding Layers for Efficient Model Compression

Jan 30, 2019
Valentin Khrulkov, Oleksii Hrinchuk, Leyla Mirvakhabova, Ivan Oseledets

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Deep Neural Networks Predicting Oil Movement in a Development Unit

Jan 08, 2019
Pavel Temirchev, Maxim Simonov, Ruslan Kostoev, Evgeny Burnaev, Ivan Oseledets, Alexey Akhmetov, Andrey Margarit, Alexander Sitnikov, Dmitry Koroteev

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PROVEN: Certifying Robustness of Neural Networks with a Probabilistic Approach

Jan 07, 2019
Tsui-Wei Weng, Pin-Yu Chen, Lam M. Nguyen, Mark S. Squillante, Ivan Oseledets, Luca Daniel

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Adversarial point set registration

Nov 20, 2018
Sergei Divakov, Ivan Oseledets

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