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Convolutional Rectifier Networks as Generalized Tensor Decompositions

1 March 2016

Papers citing "Convolutional Rectifier Networks as Generalized Tensor Decompositions"

50 / 68 papers shown

Title
Language Modeling Using Tensor Trains Zhan Su Yuqin Zhou Fengran Mo J. Simonsen 87 2 0 07 May 2024
Tensor Networks Meet Neural Networks: A Survey and Future Perspectives Maolin Wang Yu Pan Zenglin Xu Xiangli Yang Guangxi Li A. Cichocki Andrzej Cichocki 210 22 0 22 Jan 2023
Spatial-temporal traffic modeling with a fusion graph reconstructed by tensor decomposition Qin Li Xu Yang Yong Wang Yuankai Wu Deqiang He 81 10 0 12 Dec 2022
On the Ability of Graph Neural Networks to Model Interactions Between Vertices Noam Razin Tom Verbin Nadav Cohen 149 11 0 29 Nov 2022
Piecewise Linear Neural Networks and Deep Learning Qinghua Tao Li Li Xiaolin Huang Xiangming Xi Shuning Wang Johan A. K. Suykens 47 30 0 18 Jun 2022
Classical versus Quantum: comparing Tensor Network-based Quantum Circuits on LHC data Jack Y. Araz M. Spannowsky 95 14 0 21 Feb 2022
Implicit Regularization in Hierarchical Tensor Factorization and Deep Convolutional Neural Networks Noam Razin Asaf Maman Nadav Cohen 132 29 0 27 Jan 2022
Efficient Visual Recognition with Deep Neural Networks: A Survey on Recent Advances and New Directions Yang Wu Dingheng Wang Xiaotong Lu Fan Yang Guoqi Li W. Dong Jianbo Shi 108 18 0 30 Aug 2021
Tensor Methods in Computer Vision and Deep Learning Yannis Panagakis Jean Kossaifi Grigorios G. Chrysos James Oldfield M. Nicolaou Anima Anandkumar Stefanos Zafeiriou 62 126 0 07 Jul 2021
Entangled q-Convolutional Neural Nets V. Anagiannis Miranda C. N. Cheng 41 5 0 06 Mar 2021
Approximation and Learning with Deep Convolutional Models: a Kernel Perspective A. Bietti 89 30 0 19 Feb 2021
Implicit Regularization in Tensor Factorization Noam Razin Asaf Maman Nadav Cohen 75 49 0 19 Feb 2021
Fast convolutional neural networks on FPGAs with hls4ml T. Aarrestad Vladimir Loncar Nicolò Ghielmetti M. Pierini S. Summers ... N. Tran Miaoyuan Liu E. Kreinar Zhenbin Wu Duc Hoang 90 110 0 13 Jan 2021
A divide-and-conquer algorithm for quantum state preparation Israel F. Araujo D. Park Francesco Petruccione A. J. D. Silva 70 176 0 04 Aug 2020
Hybrid Tensor Decomposition in Neural Network Compression Bijiao Wu Dingheng Wang Guangshe Zhao Lei Deng Guoqi Li 76 47 0 29 Jun 2020
Deep Polynomial Neural Networks Grigorios G. Chrysos Stylianos Moschoglou Giorgos Bouritsas Jiankang Deng Yannis Panagakis Stefanos Zafeiriou 93 94 0 20 Jun 2020
The Curious Case of Convex Neural Networks S. Sivaprasad Ankur Singh Naresh Manwani Vineet Gandhi 115 27 0 09 Jun 2020
Implicit Regularization in Deep Learning May Not Be Explainable by Norms Noam Razin Nadav Cohen 81 156 0 13 May 2020
Depth Enables Long-Term Memory for Recurrent Neural Networks A. Ziv 40 0 0 23 Mar 2020
Tensor Decompositions in Deep Learning D. Bacciu Danilo P. Mandic 51 14 0 26 Feb 2020
Tight Sample Complexity of Learning One-hidden-layer Convolutional Neural Networks Yuan Cao Quanquan Gu MLT 83 19 0 12 Nov 2019
Compositional Hierarchical Tensor Factorization: Representing Hierarchical Intrinsic and Extrinsic Causal Factors M. Alex O. Vasilescu E. Kim CoGe CVBM 86 12 0 11 Nov 2019
Deep learning is adaptive to intrinsic dimensionality of model smoothness in anisotropic Besov space Taiji Suzuki Atsushi Nitanda 93 63 0 28 Oct 2019
Compression based bound for non-compressed network: unified generalization error analysis of large compressible deep neural network Taiji Suzuki Hiroshi Abe Tomoaki Nishimura AI4CE 81 44 0 25 Sep 2019
Einconv: Exploring Unexplored Tensor Network Decompositions for Convolutional Neural Networks K. Hayashi Taiki Yamaguchi Yohei Sugawara S. Maeda 67 56 0 13 Aug 2019
Expressive power of tensor-network factorizations for probabilistic modeling, with applications from hidden Markov models to quantum machine learning I. Glasser R. Sweke Nicola Pancotti Jens Eisert J. I. Cirac 51 126 0 08 Jul 2019
On the Expressive Power of Deep Polynomial Neural Networks Joe Kileel Matthew Trager Joan Bruna 88 83 0 29 May 2019
Tucker Decomposition Network: Expressive Power and Comparison Ye Liu Junjun Pan Michael K. Ng 36 1 0 23 May 2019
Approximation spaces of deep neural networks Rémi Gribonval Gitta Kutyniok M. Nielsen Felix Voigtländer 111 126 0 03 May 2019
Stability and Generalization of Graph Convolutional Neural Networks Saurabh Verma Zhi-Li Zhang GNN MLT 133 159 0 03 May 2019
A Theoretical Analysis of Deep Neural Networks and Parametric PDEs Gitta Kutyniok P. Petersen Mones Raslan R. Schneider 102 198 0 31 Mar 2019
Generalized Tensor Models for Recurrent Neural Networks Valentin Khrulkov Oleksii Hrinchuk Ivan Oseledets GNN 62 25 0 30 Jan 2019
Deep Neural Network Approximation Theory Dennis Elbrächter Dmytro Perekrestenko Philipp Grohs Helmut Bölcskei 97 210 0 08 Jan 2019
Convolutional Neural Networks with Transformed Input based on Robust Tensor Network Decomposition Jenn-Bing Ong W. Ng C.-C. Jay Kuo AAML 59 0 0 20 Nov 2018
Implicit Regularization of Stochastic Gradient Descent in Natural Language Processing: Observations and Implications Deren Lei Zichen Sun Yijun Xiao William Yang Wang 151 14 0 01 Nov 2018
Adaptivity of deep ReLU network for learning in Besov and mixed smooth Besov spaces: optimal rate and curse of dimensionality Taiji Suzuki 223 246 0 18 Oct 2018
From probabilistic graphical models to generalized tensor networks for supervised learning I. Glasser Nicola Pancotti J. I. Cirac AI4CE 111 75 0 15 Jun 2018
Interpreting Deep Learning: The Machine Learning Rorschach Test? Adam S. Charles AAML HAI AI4CE 105 9 0 01 Jun 2018
Understanding Generalization and Optimization Performance of Deep CNNs Pan Zhou Jiashi Feng MLT 129 50 0 28 May 2018
Adversarially Robust Training through Structured Gradient Regularization Kevin Roth Aurelien Lucchi Sebastian Nowozin Thomas Hofmann 72 23 0 22 May 2018
End-to-end Learning of a Convolutional Neural Network via Deep Tensor Decomposition Samet Oymak Mahdi Soltanolkotabi 87 12 0 16 May 2018
Universal approximations of invariant maps by neural networks Dmitry Yarotsky 138 214 0 26 Apr 2018
Large Field and High Resolution: Detecting Needle in Haystack H. Gorodissky Daniel Harari S. Ullman 23 1 0 10 Apr 2018
Quantum Entanglement in Deep Learning Architectures Yoav Levine Or Sharir Nadav Cohen Amnon Shashua 103 182 0 26 Mar 2018
Neural Networks Should Be Wide Enough to Learn Disconnected Decision Regions Quynh N. Nguyen Mahesh Chandra Mukkamala Matthias Hein MLT 118 56 0 28 Feb 2018
Spurious Valleys in Two-layer Neural Network Optimization Landscapes Luca Venturi Afonso S. Bandeira Joan Bruna 97 75 0 18 Feb 2018
The Role of Information Complexity and Randomization in Representation Learning Matías Vera Pablo Piantanida L. Rey Vega 80 14 0 14 Feb 2018
Learning Relevant Features of Data with Multi-scale Tensor Networks Tayssir Doghri 132 138 0 31 Dec 2017
Expressive power of recurrent neural networks Valentin Khrulkov Alexander Novikov Ivan Oseledets 123 114 0 02 Nov 2017
Optimization Landscape and Expressivity of Deep CNNs Quynh N. Nguyen Matthias Hein 107 29 0 30 Oct 2017