Stable Recovery of Entangled Weights: Towards Robust Identification of
Deep Neural Networks from Minimal Samples

Stable Recovery of Entangled Weights: Towards Robust Identification of Deep Neural Networks from Minimal Samples

18 January 2021

Christian Fiedler

Michael Rauchensteiner

Papers citing "Stable Recovery of Entangled Weights: Towards Robust Identification of Deep Neural Networks from Minimal Samples"

18 / 18 papers shown

Title
Landscape analysis of an improved power method for tensor decomposition Joe Kileel T. Klock João M. Pereira 48 10 0 29 Oct 2021
A Local Convergence Theory for Mildly Over-Parameterized Two-Layer Neural Network Mo Zhou Rong Ge Chi Jin 87 45 0 04 Feb 2021
Optimization for deep learning: theory and algorithms Ruoyu Sun ODL 70 168 0 19 Dec 2019
Learning deep linear neural networks: Riemannian gradient flows and convergence to global minimizers B. Bah Holger Rauhut Ulrich Terstiege Michael Westdickenberg MLT 32 62 0 12 Oct 2019
Reverse-Engineering Deep ReLU Networks David Rolnick Konrad Paul Kording 44 103 0 02 Oct 2019
Kernel and Rich Regimes in Overparametrized Models Blake E. Woodworth Suriya Gunasekar Pedro H. P. Savarese E. Moroshko Itay Golan Jason D. Lee Daniel Soudry Nathan Srebro 66 358 0 13 Jun 2019
Implicit Regularization in Deep Matrix Factorization Sanjeev Arora Nadav Cohen Wei Hu Yuping Luo AI4CE 68 500 0 31 May 2019
Nonlinear Approximation and (Deep) ReLU Networks Ingrid Daubechies Ronald A. DeVore S. Foucart Boris Hanin G. Petrova 57 139 0 05 May 2019
Theoretical insights into the optimization landscape of over-parameterized shallow neural networks Mahdi Soltanolkotabi Adel Javanmard Jason D. Lee 124 417 0 16 Jul 2017
Recovery Guarantees for One-hidden-layer Neural Networks Kai Zhong Zhao Song Prateek Jain Peter L. Bartlett Inderjit S. Dhillon MLT 128 336 0 10 Jun 2017
Optimal Approximation with Sparsely Connected Deep Neural Networks Helmut Bölcskei Philipp Grohs Gitta Kutyniok P. Petersen 141 256 0 04 May 2017
WaveNet: A Generative Model for Raw Audio Aaron van den Oord Sander Dieleman Heiga Zen Karen Simonyan Oriol Vinyals Alex Graves Nal Kalchbrenner A. Senior Koray Kavukcuoglu DiffM 324 7,361 0 12 Sep 2016
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 415 2,563 0 25 Jan 2016
Provable approximation properties for deep neural networks Uri Shaham A. Cloninger Ronald R. Coifman 103 230 0 24 Sep 2015
Deep Speech: Scaling up end-to-end speech recognition Awni Y. Hannun Carl Case Jared Casper Bryan Catanzaro G. Diamos ... R. Prenger S. Satheesh Shubho Sengupta Adam Coates A. Ng 166 2,119 0 17 Dec 2014
Guaranteed Non-Orthogonal Tensor Decomposition via Alternating Rank- $1$ Updates Anima Anandkumar Rong Ge Majid Janzamin 112 131 0 21 Feb 2014
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 199 14,831 1 21 Dec 2013
Robust PCA via Outlier Pursuit Huan Xu Constantine Caramanis Sujay Sanghavi 100 766 0 20 Oct 2010