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Ivan Oseledets

Skolkovo Institute of Science and Technology

Are Quantum Computers Practical Yet? A Case for Feature Selection in Recommender Systems using Tensor Networks



Artyom Nikitin , Andrei Chertkov , Rafael Ballester-Ripoll , Ivan Oseledets , Evgeny Frolov

* Added affiliation. Fixed table references 

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Tensor-based Collaborative Filtering With Smooth Ratings Scale



Nikita Marin , Elizaveta Makhneva , Maria Lysyuk , Vladimir Chernyy , Ivan Oseledets , Evgeny Frolov

* Draft version, submitted for review; 14 pages, 3 tables, 2 figures 

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TTOpt: A Maximum Volume Quantized Tensor Train-based Optimization and its Application to Reinforcement Learning



Konstantin Sozykin , Andrei Chertkov , Roman Schutski , Anh-Huy Phan , Andrzej Cichocki , Ivan Oseledets

* 20 pages, 8 figures 

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On the Performance of Machine Learning Methods for Breakthrough Curve Prediction



Daria Fokina , Oleg Iliev , Pavel Toktaliev , Ivan Oseledets , Felix Schindler

* Submitted to NAFEMS seminar "Machine Learning und Artificial Intelligence in der Str\"omungsmechanik und der Strukturanalyse" 

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Hyperbolic Vision Transformers: Combining Improvements in Metric Learning



Aleksandr Ermolov , Leyla Mirvakhabova , Valentin Khrulkov , Nicu Sebe , Ivan Oseledets

* CVPR 2022 

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Extension of Dynamic Mode Decomposition for dynamic systems with incomplete information based on t-model of optimal prediction



Aleksandr Katrutsa , Sergey Utyuzhnikov , Ivan Oseledets


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Survey on Large Scale Neural Network Training



Julia Gusak , Daria Cherniuk , Alena Shilova , Alexander Katrutsa , Daniel Bershatsky , Xunyi Zhao , Lionel Eyraud-Dubois , Oleg Shlyazhko , Denis Dimitrov , Ivan Oseledets , Olivier Beaumont


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Understanding DDPM Latent Codes Through Optimal Transport



Valentin Khrulkov , Ivan Oseledets


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Memory-Efficient Backpropagation through Large Linear Layers



Daniel Bershatsky , Aleksandr Mikhalev , Alexandr Katrutsa , Julia Gusak , Daniil Merkulov , Ivan Oseledets

* Submitted 

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Few-Bit Backward: Quantized Gradients of Activation Functions for Memory Footprint Reduction



Georgii Novikov , Daniel Bershatsky , Julia Gusak , Alex Shonenkov , Denis Dimitrov , Ivan Oseledets

* Submitted 

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