Training Input-Output Recurrent Neural Networks through Spectral Methods

3 March 2016

Papers citing "Training Input-Output Recurrent Neural Networks through Spectral Methods"

9 / 9 papers shown

Title
Stochastic Gradient Descent Learns State Equations with Nonlinear Activations Samet Oymak 78 43 0 09 Sep 2018
Connecting Weighted Automata and Recurrent Neural Networks through Spectral Learning Guillaume Rabusseau Tianyu Li Doina Precup 153 41 0 04 Jul 2018
Stable Recurrent Models John Miller Moritz Hardt 101 119 0 25 May 2018
On the Optimization of Deep Networks: Implicit Acceleration by Overparameterization Sanjeev Arora Nadav Cohen Elad Hazan 134 488 0 19 Feb 2018
Learning Relevant Features of Data with Multi-scale Tensor Networks Tayssir Doghri 135 138 0 31 Dec 2017
Non-convex Optimization for Machine Learning Prateek Jain Purushottam Kar 205 487 0 21 Dec 2017
Deep Learning and Model Predictive Control for Self-Tuning Mode-Locked Lasers T. Baumeister Steven L. Brunton J. Nathan Kutz 45 110 0 02 Nov 2017
Tensor Regression Networks Jean Kossaifi Zachary Chase Lipton Arinbjorn Kolbeinsson Aran Khanna Tommaso Furlanello Anima Anandkumar 3DV 114 148 0 26 Jul 2017
Deep Learning and Quantum Entanglement: Fundamental Connections with Implications to Network Design Yoav Levine David Yakira Nadav Cohen Amnon Shashua 139 126 0 05 Apr 2017