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On the Connection Between Learning Two-Layers Neural Networks and Tensor Decomposition

20 February 2018

Papers citing "On the Connection Between Learning Two-Layers Neural Networks and Tensor Decomposition"

37 / 37 papers shown

Title
Identifiability of Deep Polynomial Neural Networks K. Usevich Clara Dérand Ricardo Augusto Borsoi Marianne Clausel 19 0 0 20 Jun 2025
Learning Gaussian Multi-Index Models with Gradient Flow: Time Complexity and Directional Convergence Berfin Simsek Amire Bendjeddou Daniel Hsu 183 3 0 13 Nov 2024
Sparse MTTKRP Acceleration for Tensor Decomposition on GPU Sasindu Wijeratne Rajgopal Kannan Viktor Prasanna 40 1 0 14 May 2024
Dynasor: A Dynamic Memory Layout for Accelerating Sparse MTTKRP for Tensor Decomposition on Multi-core CPU Sasindu Wijeratne Rajgopal Kannan Viktor Prasanna 28 4 0 17 Sep 2023
Provable Identifiability of Two-Layer ReLU Neural Networks via LASSO Regularization Geng Li G. Wang Jie Ding 51 3 0 07 May 2023
Expand-and-Cluster: Parameter Recovery of Neural Networks Flavio Martinelli Berfin Simsek W. Gerstner Johanni Brea 146 8 0 25 Apr 2023
Tensor Networks Meet Neural Networks: A Survey and Future Perspectives Maolin Wang Yu Pan Zenglin Xu Xiangli Yang Guangxi Li A. Cichocki Andrzej Cichocki 202 22 0 22 Jan 2023
Finite Sample Identification of Wide Shallow Neural Networks with Biases M. Fornasier T. Klock Marco Mondelli Michael Rauchensteiner 52 6 0 08 Nov 2022
Lower Bounds for the Convergence of Tensor Power Iteration on Random Overcomplete Models Yuchen Wu Kangjie Zhou 173 6 0 07 Nov 2022
Performance Modeling Sparse MTTKRP Using Optical Static Random Access Memory on FPGA Sasindu Wijeratne Akhilesh R. Jaiswal Ajey P. Jacob Bingyi Zhang Viktor Prasanna 40 2 0 22 Aug 2022
Towards Programmable Memory Controller for Tensor Decomposition Sasindu Wijeratne Ta-Yang Wang Rajgopal Kannan Viktor Prasanna 22 2 0 17 Jul 2022
Sharp asymptotics on the compression of two-layer neural networks Mohammad Hossein Amani Simone Bombari Marco Mondelli Rattana Pukdee Stefano Rini MLT 74 0 0 17 May 2022
A Robust Spectral Algorithm for Overcomplete Tensor Decomposition Samuel B. Hopkins T. Schramm Jonathan Shi 95 23 0 05 Mar 2022
Reconfigurable Low-latency Memory System for Sparse Matricized Tensor Times Khatri-Rao Product on FPGA Sasindu Wijeratne Rajgopal Kannan Viktor Prasanna 60 6 0 18 Sep 2021
The Rate of Convergence of Variation-Constrained Deep Neural Networks Gen Li Jie Ding 54 6 0 22 Jun 2021
Achieving Small Test Error in Mildly Overparameterized Neural Networks Shiyu Liang Ruoyu Sun R. Srikant 53 3 0 24 Apr 2021
Stable Recovery of Entangled Weights: Towards Robust Identification of Deep Neural Networks from Minimal Samples Christian Fiedler M. Fornasier T. Klock Michael Rauchensteiner OOD 45 13 0 18 Jan 2021
Optimal High-order Tensor SVD via Tensor-Train Orthogonal Iteration Yuchen Zhou Anru R. Zhang Lili Zheng Yazhen Wang 105 22 0 06 Oct 2020
The Efficacy of $L_1$ Regularization in Two-Layer Neural Networks Gen Li Yuantao Gu Jie Ding 54 7 0 02 Oct 2020
From Symmetry to Geometry: Tractable Nonconvex Problems Yuqian Zhang Qing Qu John N. Wright 87 45 0 14 Jul 2020
Reducibility and Statistical-Computational Gaps from Secret Leakage Matthew Brennan Guy Bresler 99 91 0 16 May 2020
Estimating multi-index models with response-conditional least squares T. Klock A. Lanteri Stefano Vigogna 59 8 0 10 Mar 2020
Taylorized Training: Towards Better Approximation of Neural Network Training at Finite Width Yu Bai Ben Krause Huan Wang Caiming Xiong R. Socher 74 22 0 10 Feb 2020
Avoiding Spurious Local Minima in Deep Quadratic Networks A. Kazemipour Brett W. Larsen S. Druckmann ODL 60 6 0 31 Dec 2019
Revisiting Landscape Analysis in Deep Neural Networks: Eliminating Decreasing Paths to Infinity Shiyu Liang Ruoyu Sun R. Srikant 81 20 0 31 Dec 2019
Optimization for deep learning: theory and algorithms Ruoyu Sun ODL 137 169 0 19 Dec 2019
Sub-Optimal Local Minima Exist for Neural Networks with Almost All Non-Linear Activations Tian Ding Dawei Li Ruoyu Sun 95 13 0 04 Nov 2019
Robust and Resource Efficient Identification of Two Hidden Layer Neural Networks M. Fornasier T. Klock Michael Rauchensteiner 73 18 0 30 Jun 2019
Decoupling Gating from Linearity Jonathan Fiat Eran Malach Shai Shalev-Shwartz 128 28 0 12 Jun 2019
A Selective Overview of Deep Learning Jianqing Fan Cong Ma Yiqiao Zhong BDL VLM 206 135 0 10 Apr 2019
Learning Two Layer Rectified Neural Networks in Polynomial Time Ainesh Bakshi Rajesh Jayaram David P. Woodruff NoLa 186 70 0 05 Nov 2018
On the Convergence Rate of Training Recurrent Neural Networks Zeyuan Allen-Zhu Yuanzhi Li Zhao Song 253 193 0 29 Oct 2018
The Mismatch Principle: The Generalized Lasso Under Large Model Uncertainties Martin Genzel Gitta Kutyniok 42 2 0 20 Aug 2018
Tensor Methods for Additive Index Models under Discordance and Heterogeneity Krishnakumar Balasubramanian Jianqing Fan Zhuoran Yang 52 13 0 17 Jul 2018
End-to-end Learning of a Convolutional Neural Network via Deep Tensor Decomposition Samet Oymak Mahdi Soltanolkotabi 87 12 0 16 May 2018
Guaranteed Recovery of One-Hidden-Layer Neural Networks via Cross Entropy H. Fu Yuejie Chi Yingbin Liang FedML 99 39 0 18 Feb 2018
Spurious Valleys in Two-layer Neural Network Optimization Landscapes Luca Venturi Afonso S. Bandeira Joan Bruna 97 74 0 18 Feb 2018