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


Apr 30, 2022
Konstantin Sozykin, Andrei Chertkov, Roman Schutski, Anh-Huy Phan, Andrzej Cichocki, Ivan Oseledets

* 20 pages, 8 figures 

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How to Train Unstable Looped Tensor Network


Mar 05, 2022
Anh-Huy Phan, Konstantin Sobolev, Dmitry Ermilov, Igor Vorona, Nikolay Kozyrskiy, Petr Tichavsky, Andrzej Cichocki


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L3C-Stereo: Lossless Compression for Stereo Images


Aug 21, 2021
Zihao Huang, Zhe Sun, Feng Duan, Andrzej Cichocki, Peiying Ruan, Chao Li


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Meta-Solver for Neural Ordinary Differential Equations


Mar 15, 2021
Julia Gusak, Alexandr Katrutsa, Talgat Daulbaev, Andrzej Cichocki, Ivan Oseledets


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Improving EEG Decoding via Clustering-based Multi-task Feature Learning


Dec 12, 2020
Yu Zhang, Tao Zhou, Wei Wu, Hua Xie, Hongru Zhu, Guoxu Zhou, Andrzej Cichocki


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Deep Learning in EEG: Advance of the Last Ten-Year Critical Period


Nov 22, 2020
Shu Gong, Kaibo Xing, Andrzej Cichocki, Junhua Li


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On Multiple Intelligences and Learning Styles for Artificial Intelligence Systems: Future Research Trends in AI with a Human Face?


Aug 30, 2020
Andrzej Cichocki

* 19 Figures, 27 pages 

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Stable Low-rank Tensor Decomposition for Compression of Convolutional Neural Network


Aug 12, 2020
Anh-Huy Phan, Konstantin Sobolev, Konstantin Sozykin, Dmitry Ermilov, Julia Gusak, Petr Tichavsky, Valeriy Glukhov, Ivan Oseledets, Andrzej Cichocki

* This paper is accepted to ECCV2020 

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On Multiple Intelligences and Learning Styles for Multi- Agent Systems: Future Research Trends in AI with a Human Face?


Aug 07, 2020
Andrzej Cichocki

* 18 Figures, 25 pages 

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Towards Understanding Normalization in Neural ODEs


Apr 27, 2020
Julia Gusak, Larisa Markeeva, Talgat Daulbaev, Alexandr Katrutsa, Andrzej Cichocki, Ivan Oseledets


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