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

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

20 February 2018
Marco Mondelli
Andrea Montanari
    MLT
    CML
ArXivPDFHTML

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

17 / 17 papers shown
Title
Learning Gaussian Multi-Index Models with Gradient Flow: Time Complexity and Directional Convergence
Learning Gaussian Multi-Index Models with Gradient Flow: Time Complexity and Directional Convergence
Berfin Simsek
Amire Bendjeddou
Daniel Hsu
46
0
0
13 Nov 2024
Provable Identifiability of Two-Layer ReLU Neural Networks via LASSO
  Regularization
Provable Identifiability of Two-Layer ReLU Neural Networks via LASSO Regularization
Geng Li
G. Wang
Jie Ding
34
3
0
07 May 2023
Tensor Networks Meet Neural Networks: A Survey and Future Perspectives
Tensor Networks Meet Neural Networks: A Survey and Future Perspectives
Maolin Wang
Yu Pan
Zenglin Xu
Xiangli Yang
Guangxi Li
A. Cichocki
Andrzej Cichocki
55
19
0
22 Jan 2023
Lower Bounds for the Convergence of Tensor Power Iteration on Random Overcomplete Models
Lower Bounds for the Convergence of Tensor Power Iteration on Random Overcomplete Models
Yuchen Wu
Kangjie Zhou
29
6
0
07 Nov 2022
Performance Modeling Sparse MTTKRP Using Optical Static Random Access
  Memory on FPGA
Performance Modeling Sparse MTTKRP Using Optical Static Random Access Memory on FPGA
Sasindu Wijeratne
Akhilesh R. Jaiswal
Ajey P. Jacob
Bingyi Zhang
Viktor Prasanna
25
2
0
22 Aug 2022
Sharp asymptotics on the compression of two-layer neural networks
Sharp asymptotics on the compression of two-layer neural networks
Mohammad Hossein Amani
Simone Bombari
Marco Mondelli
Rattana Pukdee
Stefano Rini
MLT
27
0
0
17 May 2022
A Robust Spectral Algorithm for Overcomplete Tensor Decomposition
A Robust Spectral Algorithm for Overcomplete Tensor Decomposition
Samuel B. Hopkins
T. Schramm
Jonathan Shi
30
23
0
05 Mar 2022
Reconfigurable Low-latency Memory System for Sparse Matricized Tensor
  Times Khatri-Rao Product on FPGA
Reconfigurable Low-latency Memory System for Sparse Matricized Tensor Times Khatri-Rao Product on FPGA
Sasindu Wijeratne
Rajgopal Kannan
Viktor Prasanna
28
6
0
18 Sep 2021
Optimal High-order Tensor SVD via Tensor-Train Orthogonal Iteration
Optimal High-order Tensor SVD via Tensor-Train Orthogonal Iteration
Yuchen Zhou
Anru R. Zhang
Lili Zheng
Yazhen Wang
26
22
0
06 Oct 2020
Reducibility and Statistical-Computational Gaps from Secret Leakage
Reducibility and Statistical-Computational Gaps from Secret Leakage
Matthew Brennan
Guy Bresler
29
86
0
16 May 2020
Revisiting Landscape Analysis in Deep Neural Networks: Eliminating
  Decreasing Paths to Infinity
Revisiting Landscape Analysis in Deep Neural Networks: Eliminating Decreasing Paths to Infinity
Shiyu Liang
Ruoyu Sun
R. Srikant
35
19
0
31 Dec 2019
Optimization for deep learning: theory and algorithms
Optimization for deep learning: theory and algorithms
Ruoyu Sun
ODL
25
168
0
19 Dec 2019
Robust and Resource Efficient Identification of Two Hidden Layer Neural
  Networks
Robust and Resource Efficient Identification of Two Hidden Layer Neural Networks
M. Fornasier
T. Klock
Michael Rauchensteiner
21
18
0
30 Jun 2019
A Selective Overview of Deep Learning
A Selective Overview of Deep Learning
Jianqing Fan
Cong Ma
Yiqiao Zhong
BDL
VLM
38
136
0
10 Apr 2019
On the Convergence Rate of Training Recurrent Neural Networks
On the Convergence Rate of Training Recurrent Neural Networks
Zeyuan Allen-Zhu
Yuanzhi Li
Zhao Song
23
191
0
29 Oct 2018
End-to-end Learning of a Convolutional Neural Network via Deep Tensor
  Decomposition
End-to-end Learning of a Convolutional Neural Network via Deep Tensor Decomposition
Samet Oymak
Mahdi Soltanolkotabi
21
12
0
16 May 2018
The Loss Surfaces of Multilayer Networks
The Loss Surfaces of Multilayer Networks
A. Choromańska
Mikael Henaff
Michaël Mathieu
Gerard Ben Arous
Yann LeCun
ODL
183
1,185
0
30 Nov 2014
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