Deep networks for system identification: a Survey

30 January 2023

Papers citing "Deep networks for system identification: a Survey"

48 / 48 papers shown

Title
Online Control-Informed Learning Zihao Liang Tianyu Zhou Zehui Lu Shaoshuai Mou 54 1 0 04 Oct 2024
Lessons from AlphaZero for Optimal, Model Predictive, and Adaptive Control Dimitri Bertsekas AI4CE 63 55 0 20 Aug 2021
Implicit Bias of SGD for Diagonal Linear Networks: a Provable Benefit of Stochasticity Scott Pesme Loucas Pillaud-Vivien Nicolas Flammarion 41 100 0 17 Jun 2021
Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting Defu Cao Yujing Wang Juanyong Duan Ce Zhang Xia Zhu ... Yunhai Tong Bixiong Xu Jing Bai Jie Tong Qi Zhang AI4TS 33 509 0 13 Mar 2021
Nonlinear MPC for Offset-Free Tracking of systems learned by GRU Neural Networks Fabio Bonassi Caio Fabio Oliveira da Silva R. Scattolini 25 29 0 03 Mar 2021
Nonlinear state-space identification using deep encoder networks G. Beintema R. Tóth Maarten Schoukens 28 40 0 14 Dec 2020
Implicit Gradient Regularization David Barrett Benoit Dherin 50 149 0 23 Sep 2020
Dynamical Variational Autoencoders: A Comprehensive Review Laurent Girin Simon Leglaive Xiaoyu Bie Julien Diard Thomas Hueber Xavier Alameda-Pineda BDL 52 213 0 28 Aug 2020
Multiple Descent: Design Your Own Generalization Curve Lin Chen Yifei Min M. Belkin Amin Karbasi DRL 56 61 0 03 Aug 2020
Tensor Programs II: Neural Tangent Kernel for Any Architecture Greg Yang 99 136 0 25 Jun 2020
Shape Matters: Understanding the Implicit Bias of the Noise Covariance Jeff Z. HaoChen Colin Wei Jason D. Lee Tengyu Ma 97 94 0 15 Jun 2020
dynoNet: a neural network architecture for learning dynamical systems Marco Forgione Dario Piga AI4CE 10 43 0 03 Jun 2020
Learning to Simulate Complex Physics with Graph Networks Alvaro Sanchez-Gonzalez Jonathan Godwin Tobias Pfaff Rex Ying J. Leskovec Peter W. Battaglia PINN AI4CE 106 1,065 0 21 Feb 2020
Contracting Implicit Recurrent Neural Networks: Stable Models with Improved Trainability Max Revay I. Manchester 46 43 0 22 Dec 2019
A unified sparse optimization framework to learn parsimonious physics-informed models from data Kathleen P. Champion P. Zheng Aleksandr Aravkin Steven L. Brunton J. Nathan Kutz AI4CE 41 118 0 25 Jun 2019
SNODE: Spectral Discretization of Neural ODEs for System Identification A. Quaglino Marco Gallieri Jonathan Masci Jan Koutník AI4TS 60 48 0 17 Jun 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 61 358 0 13 Jun 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks Mingxing Tan Quoc V. Le 3DV MedIm 104 17,950 0 28 May 2019
Making Convolutional Networks Shift-Invariant Again Richard Y. Zhang OOD 80 794 0 25 Apr 2019
Surprises in High-Dimensional Ridgeless Least Squares Interpolation Trevor Hastie Andrea Montanari Saharon Rosset Robert Tibshirani 124 737 0 19 Mar 2019
Reconciling modern machine learning practice and the bias-variance trade-off M. Belkin Daniel J. Hsu Siyuan Ma Soumik Mandal 172 1,628 0 28 Dec 2018
Graph Neural Networks: A Review of Methods and Applications Jie Zhou Ganqu Cui Shengding Hu Zhengyan Zhang Cheng Yang Zhiyuan Liu Lifeng Wang Changcheng Li Maosong Sun AI4CE GNN 559 5,457 0 20 Dec 2018
Neural Ordinary Differential Equations T. Chen Yulia Rubanova J. Bettencourt David Duvenaud AI4CE 232 5,024 0 19 Jun 2018
Don't Decay the Learning Rate, Increase the Batch Size Samuel L. Smith Pieter-Jan Kindermans Chris Ying Quoc V. Le ODL 93 990 0 01 Nov 2017
Bayesian Recurrent Neural Networks Meire Fortunato Charles Blundell Oriol Vinyals BDL 44 182 0 10 Apr 2017
Language Modeling with Gated Convolutional Networks Yann N. Dauphin Angela Fan Michael Auli David Grangier 195 2,377 0 23 Dec 2016
Efficient Orthogonal Parametrisation of Recurrent Neural Networks Using Householder Reflections Zakaria Mhammedi Andrew D. Hellicar Ashfaqur Rahman James Bailey 70 129 0 01 Dec 2016
A Convolutional Encoder Model for Neural Machine Translation Jonas Gehring Michael Auli David Grangier Yann N. Dauphin 58 450 0 07 Nov 2016
Universal adversarial perturbations Seyed-Mohsen Moosavi-Dezfooli Alhussein Fawzi Omar Fawzi P. Frossard AAML 113 2,520 0 26 Oct 2016
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima N. Keskar Dheevatsa Mudigere J. Nocedal M. Smelyanskiy P. T. P. Tang ODL 355 2,922 0 15 Sep 2016
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 284 7,361 0 12 Sep 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger PINN 3DV 626 36,599 0 25 Aug 2016
SGDR: Stochastic Gradient Descent with Warm Restarts I. Loshchilov Frank Hutter ODL 229 8,030 0 13 Aug 2016
TensorFlow: A system for large-scale machine learning Martín Abadi P. Barham Jianmin Chen Zhiwen Chen Andy Davis ... Vijay Vasudevan Pete Warden Martin Wicke Yuan Yu Xiaoqiang Zhang GNN AI4CE 336 18,300 0 27 May 2016
Sequential Neural Models with Stochastic Layers Marco Fraccaro Søren Kaae Sønderby Ulrich Paquet Ole Winther BDL 94 395 0 24 May 2016
Effective Approaches to Attention-based Neural Machine Translation Thang Luong Hieu H. Pham Christopher D. Manning 313 7,951 0 17 Aug 2015
Cyclical Learning Rates for Training Neural Networks L. Smith ODL 118 2,515 0 03 Jun 2015
The Benefit of Multitask Representation Learning Andreas Maurer Massimiliano Pontil Bernardino Romera-Paredes SSL 74 375 0 23 May 2015
Sequential Monte Carlo Methods for System Identification Thomas B. Schon Fredrik Lindsten J. Dahlin Johan Waagberg C. A. Naesseth Andreas Svensson L. Dai 63 79 0 20 Mar 2015
Variational Recurrent Auto-Encoders Otto Fabius Joost R. van Amersfoort GAN BDL DRL 56 245 0 20 Dec 2014
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling Junyoung Chung Çağlar Gülçehre Kyunghyun Cho Yoshua Bengio 285 12,662 0 11 Dec 2014
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 301 43,511 0 17 Sep 2014
Neural Machine Translation by Jointly Learning to Align and Translate Dzmitry Bahdanau Kyunghyun Cho Yoshua Bengio AIMat 388 27,205 0 01 Sep 2014
SAGA: A Fast Incremental Gradient Method With Support for Non-Strongly Convex Composite Objectives Aaron Defazio Francis R. Bach Simon Lacoste-Julien ODL 105 1,817 0 01 Jul 2014
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 166 14,831 1 21 Dec 2013
Deep Gaussian Processes Andreas C. Damianou Neil D. Lawrence GP BDL 73 1,178 0 02 Nov 2012
Representation Learning: A Review and New Perspectives Yoshua Bengio Aaron Courville Pascal Vincent OOD SSL 182 12,384 0 24 Jun 2012
The Convex Geometry of Linear Inverse Problems V. Chandrasekaran Benjamin Recht P. Parrilo A. Willsky 144 1,338 0 03 Dec 2010