Variational inference formulation for a model-free simulation of a
dynamical system with unknown parameters by a recurrent neural network

Variational inference formulation for a model-free simulation of a dynamical system with unknown parameters by a recurrent neural network

2 March 2020

D. E. C. Grullon

Duane S. Boning

Jayant Kalagnanam

Papers citing "Variational inference formulation for a model-free simulation of a dynamical system with unknown parameters by a recurrent neural network"

17 / 17 papers shown

Title
Learning functionals via LSTM neural networks for predicting vessel dynamics in extreme sea states J. Ferrandis M. Triantafyllou C. Chryssostomidis George Karniadakis 38 62 0 23 Dec 2019
Modeling the Dynamics of PDE Systems with Physics-Constrained Deep Auto-Regressive Networks N. Geneva N. Zabaras AI4CE 42 270 0 13 Jun 2019
Machine Learning for Fluid Mechanics Steven Brunton B. R. Noack Petros Koumoutsakos AI4CE PINN 77 2,105 0 27 May 2019
Short note on the behavior of recurrent neural network for noisy dynamical system K. Yeo 25 13 0 05 Apr 2019
Adversarial Uncertainty Quantification in Physics-Informed Neural Networks Yibo Yang P. Perdikaris AI4CE PINN 97 356 0 09 Nov 2018
Disentangled Sequential Autoencoder Yingzhen Li Stephan Mandt CoGe 71 270 0 08 Mar 2018
Deep learning algorithm for data-driven simulation of noisy dynamical system K. Yeo Igor Melnyk AI4TS 61 93 0 22 Feb 2018
Bayesian Deep Convolutional Encoder-Decoder Networks for Surrogate Modeling and Uncertainty Quantification Yinhao Zhu N. Zabaras UQCV BDL 68 640 0 21 Jan 2018
Deep learning for universal linear embeddings of nonlinear dynamics Bethany Lusch J. Nathan Kutz Steven L. Brunton 65 1,237 0 27 Dec 2017
Unsupervised Learning of Disentangled and Interpretable Representations from Sequential Data Wei-Ning Hsu Yu Zhang James R. Glass BDL SSL 73 351 0 22 Sep 2017
SGDR: Stochastic Gradient Descent with Warm Restarts I. Loshchilov Frank Hutter ODL 250 8,030 0 13 Aug 2016
Variational Inference: A Review for Statisticians David M. Blei A. Kucukelbir Jon D. McAuliffe BDL 209 4,748 0 04 Jan 2016
A Recurrent Latent Variable Model for Sequential Data Junyoung Chung Kyle Kastner Laurent Dinh Kratarth Goel Aaron Courville Yoshua Bengio DRL BDL 77 1,250 0 07 Jun 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.2K 149,474 0 22 Dec 2014
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation Kyunghyun Cho B. V. Merrienboer Çağlar Gülçehre Dzmitry Bahdanau Fethi Bougares Holger Schwenk Yoshua Bengio AIMat 748 23,235 0 03 Jun 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 397 16,962 0 20 Dec 2013
Representation Learning: A Review and New Perspectives Yoshua Bengio Aaron Courville Pascal Vincent OOD SSL 202 12,384 0 24 Jun 2012

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.