Machine Learning and System Identification for Estimation in Physical Systems

5 June 2019

Papers citing "Machine Learning and System Identification for Estimation in Physical Systems"

19 / 19 papers shown

Title
Automatic differentiation in ML: Where we are and where we should be going B. V. Merrienboer Olivier Breuleux Arnaud Bergeron Pascal Lamblin 20 78 0 26 Oct 2018
On the loss landscape of a class of deep neural networks with no bad local valleys Quynh N. Nguyen Mahesh Chandra Mukkamala Matthias Hein 47 87 0 27 Sep 2018
Lipschitz regularized Deep Neural Networks generalize and are adversarially robust Chris Finlay Jeff Calder Bilal Abbasi Adam M. Oberman 48 55 0 28 Aug 2018
Tangent-Space Regularization for Neural-Network Models of Dynamical Systems Fredrik Bagge Carlson Rolf Johansson A. Robertsson 29 1 0 26 Jun 2018
Identification of LTV Dynamical Models with Smooth or Discontinuous Time Evolution by means of Convex Optimization Fredrik Bagge Carlson A. Robertsson Rolf Johansson 8 2 0 27 Feb 2018
Deep Image Prior Dmitry Ulyanov Andrea Vedaldi Victor Lempitsky SupR 95 3,128 0 29 Nov 2017
Practical Gauss-Newton Optimisation for Deep Learning Aleksandar Botev H. Ritter David Barber ODL 25 228 0 12 Jun 2017
The Marginal Value of Adaptive Gradient Methods in Machine Learning Ashia Wilson Rebecca Roelofs Mitchell Stern Nathan Srebro Benjamin Recht ODL 48 1,023 0 23 May 2017
OptNet: Differentiable Optimization as a Layer in Neural Networks Brandon Amos J. Zico Kolter 130 952 0 01 Mar 2017
Deep Variational Bayes Filters: Unsupervised Learning of State Space Models from Raw Data Maximilian Karl Maximilian Sölch Justin Bayer Patrick van der Smagt BDL 35 373 0 20 May 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.3K 192,638 0 10 Dec 2015
Trust Region Policy Optimization John Schulman Sergey Levine Philipp Moritz Michael I. Jordan Pieter Abbeel 237 6,722 0 19 Feb 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 288 43,154 0 11 Feb 2015
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention Ke Xu Jimmy Ba Ryan Kiros Kyunghyun Cho Aaron Courville Ruslan Salakhutdinov R. Zemel Yoshua Bengio DiffM 279 10,034 0 10 Feb 2015
Learning Contact-Rich Manipulation Skills with Guided Policy Search Sergey Levine Nolan Wagener Pieter Abbeel 44 341 0 22 Jan 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 776 149,474 0 22 Dec 2014
Adaptive piecewise polynomial estimation via trend filtering Robert Tibshirani 52 395 0 10 Apr 2013
On the difficulty of training Recurrent Neural Networks Razvan Pascanu Tomas Mikolov Yoshua Bengio ODL 119 5,318 0 21 Nov 2012
A Tutorial on Bayesian Nonparametric Models S. Gershman David M. Blei 79 594 0 14 Jun 2011