Dmitry Ermilov

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All published works

Action	Title	Year	Authors
+ PDF Chat	PARS: Proxy-Based Automatic Rank Selection for Neural Network Compression via Low-Rank Weight Approximation	2022	Konstantin Sobolev Dmitry Ermilov Anh Huy Phan Andrzej Cichocki
+	How to Train Unstable Looped Tensor Network	2022	Anh Huy Phan Константин Соболев Dmitry Ermilov И.П. Ворона Nikolay Kozyrskiy Petr Tichavský Andrzej Cichocki
+	Canonical Polyadic Tensor Decomposition With Low-Rank Factor Matrices	2021	Anh Huy Phan Petr Tichavský Konstantin Sobolev Konstantin Sozykin Dmitry Ermilov Andrzej Cichocki
+	Stable Low-rank Tensor Decomposition for Compression of Convolutional Neural Network	2020	Anh Huy Phan Konstantin Sobolev Konstantin Sozykin Dmitry Ermilov Julia Gusak Petr Tichavský Valeriy Glukhov Ivan Oseledets Andrzej Cichocki
+ PDF Chat	Stable Low-Rank Tensor Decomposition for Compression of Convolutional Neural Network	2020	Anh Huy Phan Konstantin Sobolev Konstantin Sozykin Dmitry Ermilov Julia Gusak Petr Tichavský Valeriy Glukhov Ivan Oseledets Andrzej Cichocki
+	Stable Low-rank Tensor Decomposition for Compression of Convolutional Neural Network	2020	Anh Huy Phan Константин Соболев Konstantin Sozykin Dmitry Ermilov Julia Gusak Petr Tichavský Valeriy Glukhov Ivan Oseledets Andrzej Cichocki
+	Interpolation error of misspecified Gaussian process regression	2018	Alexey Zaytsev Evgenya Romanenkova Dmitry Ermilov

Common Coauthors

Coauthor	Papers Together
Anh Huy Phan	6
Andrzej Cichocki	6
Petr Tichavský	5
Konstantin Sobolev	4
Konstantin Sozykin	4
Ivan Oseledets	3
Julia Gusak	3
Valeriy Glukhov	3
Константин Соболев	2
Evgenya Romanenkova	1
Alexey Zaytsev	1
Nikolay Kozyrskiy	1
И.П. Ворона	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	“Zhores” — Petaflops supercomputer for data-driven modeling, machine learning and artificial intelligence installed in Skolkovo Institute of Science and Technology	2019	I. Zacharov Rinat Arslanov Maksim Gunin Daniil Stefonishin Andrey Bykov С. В. Павлов Oleg Panarin Anton Maliutin S. G. Rykovanov Maxim V. Fedorov	4
+ PDF Chat	Accelerating Very Deep Convolutional Networks for Classification and Detection	2015	Xiangyu Zhang Jianhua Zou Kaiming He Jian Sun	4
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	3
+	Compression of Deep Convolutional Neural Networks for Fast and Low Power Mobile Applications	2015	Yong‐Deok Kim Eunhyeok Park Sungjoo Yoo Tae‐Lim Choi Yang Lu Dongjun Shin	3
+	Speeding-up Convolutional Neural Networks Using Fine-tuned CP-Decomposition	2015	Vadim Lebedev Yaroslav Ganin Maksim Rakhuba Ivan Oseledets Victor Lempitsky	3
+ PDF Chat	Most Tensor Problems Are NP-Hard	2013	Christopher J. Hillar Lek‐Heng Lim	3
+	Sensitivity in Tensor Decomposition	2019	Petr Tichavský Anh Huy Phan Andrzej Cichocki	3
+	Automated Multi-Stage Compression of Neural Networks	2019	Julia Gusak Maksym Kholiavchenko Evgeny Ponomarev Larisa Markeeva Philip Blagoveschensky Andrzej Cichocki Ivan Oseledets	3
+	On the Best Rank-1 and Rank-(<i>R</i><sub>1</sub> ,<i>R</i><sub>2</sub> ,. . .,<i>R<sub>N</sub></i>) Approximation of Higher-Order Tensors	2000	Lieven De Lathauwer Bart De Moor Joos Vandewalle	3
+ PDF Chat	AMC: AutoML for Model Compression and Acceleration on Mobile Devices	2018	Yihui He Ji Lin Zhijian Liu Hanrui Wang Li-Jia Li Song Han	3
+	Foundations of the PARAFAC procedure: Models and conditions for an "explanatory" multi-model factor analysis	1970	Richard A. Harshman	3
+	Breaking the Curse of Dimensionality, Or How to Use SVD in Many Dimensions	2009	Ivan Oseledets E. E. Tyrtyshnikov	2
+ PDF Chat	Tensor Rank and the Ill-Posedness of the Best Low-Rank Approximation Problem	2008	Vin de Silva Lek‐Heng Lim	2
+ PDF Chat	Quadratic programming over ellipsoids with applications to constrained linear regression and tensor decomposition	2019	Anh Huy Phan Masao Yamagishi Danilo P. Mandic Andrzej Cichocki	2
+ PDF Chat	Multilinear subspace analysis of image ensembles	2003	M. Alex O. Vasilescu Demetri Terzopoulos	2
+	Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation	2014	Emily Denton Wojciech Zaremba Joan Bruna Yann LeCun Rob Fergus	2
+ PDF Chat	Nonnegative approximations of nonnegative tensors	2009	Lek‐Heng Lim Pierre Comon	2
+	Construction and analysis of degenerate PARAFAC models	2000	Pentti Paatero	2
+	Lossless Compression for 3DCNNs Based on Tensor Train Decomposition.	2019	Dingheng Wang Guangshe Zhao Guoqi Li Lei Deng Yang Wu	2
+ PDF Chat	Incremental Multi-Domain Learning with Network Latent Tensor Factorization	2020	Adrian Bulat Jean Kossaifi Georgios Tzimiropoulos Maja Pantić	2
+	Tensor Networks for Latent Variable Analysis: Novel Algorithms for Tensor Train Approximation	2020	Anh Huy Phan Andrzej Cichocki André Uschmajew Petr Tichavský George Luta Danilo P. Mandic	2
+ PDF Chat	Factorized Higher-Order CNNs With an Application to Spatio-Temporal Emotion Estimation	2020	Jean Kossaifi Antoine Toisoul Adrian Bulat Yannis Panagakis Timothy M. Hospedales Maja Pantić	2
+ PDF Chat	Stable Low-Rank Tensor Decomposition for Compression of Convolutional Neural Network	2020	Anh Huy Phan Konstantin Sobolev Konstantin Sozykin Dmitry Ermilov Julia Gusak Petr Tichavský Valeriy Glukhov Ivan Oseledets Andrzej Cichocki	2
+	Numerical methods in Tensor Networks	2014	Stefan Handschuh	2
+ PDF Chat	XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks	2016	Mohammad Rastegari Vicente Ordóñez Joseph Redmon Ali Farhadi	2
+ PDF Chat	On the Non-Existence of Optimal Solutions and the Occurrence of “Degeneracy” in the CANDECOMP/PARAFAC Model	2008	Wim P. Krijnen Theo K. Dijkstra Alwin Stegeman	2
+	Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 1 Low-Rank Tensor Decompositions	2016	Andrzej Cichocki Namgil Lee Ivan Oseledets Anh Huy Phan Qibin Zhao Danilo P. Mandic	2
+ PDF Chat	Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 1 Low-Rank Tensor Decompositions	2016	Andrzej Cichocki Namgil Lee Ivan Oseledets Anh Huy Phan Qibin Zhao Danilo P. Mandic	2
+	Perforated CNNs: acceleration through elimination of redundant convolutions	2016	Michael Figurnov Aijan Ibraimova Dmitry Vetrov Pushmeet Kohli	2
+	Subtracting a best rank-1 approximation may increase tensor rank	2010	Alwin Stegeman Pierre Comon	2
+ PDF Chat	CP-decomposition with Tensor Power Method for Convolutional Neural Networks compression	2017	Marcella Astrid Seung‐Ik Lee	2
+	Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks	2018	Yang He Guoliang Kang Xuanyi Dong Yanwei Fu Yi Yang	2
+	O(dlog N)-Quantics Approximation of N-d Tensors in High-Dimensional Numerical Modeling	2011	Boris N. Khoromskij	2
+ PDF Chat	Optimization problems in contracted tensor networks	2011	Mike Espig Wolfgang Hackbusch Stefan Handschuh Reinhold Schneider	2
+	Error Preserving Correction: A Method for CP Decomposition at a Target Error Bound	2018	Anh Huy Phan Petr Tichavský Andrzej Cichocki	2
+	Two-factor degeneracies and a stabilization of PARAFAC	1997	William S. Rayens Benjamin C. Mitchell	2
+	Rank-One Approximation to High Order Tensors	2001	Tong Zhang Gene H. Golub	2
+	EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks	2019	Mingxing Tan Quoc V. Le	2
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	2
+	Weighted Krylov-Levenberg-Marquardt Method for Canonical Polyadic Tensor Decomposition	2020	Petr Tichavský Anh Huy Phan Andrzej Cichocki	1
+ PDF Chat	Overview of constrained PARAFAC models	2014	Gérard Favier André L. F. de Almeida	1
+ PDF Chat	Lower bounds for posterior rates with Gaussian process priors	2008	Ismaël Castillo	1
+ PDF Chat	EagleEye: Fast Sub-net Evaluation for Efficient Neural Network Pruning	2020	Bailin Li Bowen Wu Jiang Su Guangrun Wang	1
+ PDF Chat	Towards Efficient Tensor Decomposition-Based DNN Model Compression with Optimization Framework	2021	Miao Yin Yang Sui Siyu Liao Bo Yuan	1
+ PDF Chat	Manifold Regularized Dynamic Network Pruning	2021	Yehui Tang Yunhe Wang Yixing Xu Yiping Deng Chao Xu Dacheng Tao Chang Xu	1
+	Tensor Deflation for CANDECOMP/PARAFAC— Part I: Alternating Subspace Update Algorithm	2015	Anh Huy Phan Petr Tichavský Andrzej Cichocki	1
+ PDF Chat	Tensorizing Neural Networks	2015	Alexander Novikov Dmitry Podoprikhin Anton Osokin Dmitry Vetrov	1
+	Learning both Weights and Connections for Efficient Neural Networks	2015	Song Han Jeff Pool John Tran William J. Dally	1
+ PDF Chat	Optimization-Based Algorithms for Tensor Decompositions: Canonical Polyadic Decomposition, Decomposition in Rank-$(L_r,L_r,1)$ Terms, and a New Generalization	2013	Laurent Sorber Marc Van Barel Lieven De Lathauwer	1
+	Tensor-Train Decomposition	2011	Ivan Oseledets	1