Adaptive learning of effective dynamics: Adaptive real-time, online modeling for complex systems

4 April 2023

Ivica Kicic

Pantelis R. Vlachas

G. Arampatzis

Michail Chatzimanolakis

Papers citing "Adaptive learning of effective dynamics: Adaptive real-time, online modeling for complex systems"

34 / 34 papers shown

Title
The transformative potential of machine learning for experiments in fluid mechanics Ricardo Vinuesa Steven L. Brunton B. McKeon AI4CE 57 75 0 28 Mar 2023
Learning to Accelerate Partial Differential Equations via Latent Global Evolution Tailin Wu Takashi Maruyama J. Leskovec AI4CE 75 33 0 15 Jun 2022
gLaSDI: Parametric Physics-informed Greedy Latent Space Dynamics Identification Xiaolong He Youngsoo Choi William D. Fries Jonathan Belof Jiun-Shyan Chen AI4CE 47 39 0 26 Apr 2022
Continual Test-Time Domain Adaptation Qin Wang Olga Fink Luc Van Gool Dengxin Dai OOD TTA 110 431 0 25 Mar 2022
Learned Coarse Models for Efficient Turbulence Simulation Kimberly L. Stachenfeld D. Fielding Dmitrii Kochkov M. Cranmer Tobias Pfaff Jonathan Godwin Can Cui S. Ho Peter W. Battaglia Alvaro Sanchez-Gonzalez AI4CE 104 84 0 31 Dec 2021
AutoDEUQ: Automated Deep Ensemble with Uncertainty Quantification Romain Egele R. Maulik Krishnan Raghavan Bethany Lusch Isabelle M Guyon Prasanna Balaprakash UQCV OOD BDL 125 48 0 26 Oct 2021
Enhancing Computational Fluid Dynamics with Machine Learning Ricardo Vinuesa Steven L. Brunton AI4CE 169 377 0 05 Oct 2021
Data-driven discovery of intrinsic dynamics D. Floryan M. Graham AI4CE 149 77 0 12 Aug 2021
Deep Learning for Reduced Order Modelling and Efficient Temporal Evolution of Fluid Simulations Pranshu Pant Ruchi Doshi Pranav Bahl A. Farimani AI4CE 56 83 0 09 Jul 2021
Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting Haixu Wu Jiehui Xu Jianmin Wang Mingsheng Long AI4TS 113 2,296 0 24 Jun 2021
Machine learning accelerated computational fluid dynamics Dmitrii Kochkov Jamie A. Smith Ayya Alieva Qing Wang M. Brenner Stephan Hoyer AI4CE 135 874 0 28 Jan 2021
POD-DL-ROM: enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decomposition S. Fresca Andrea Manzoni AI4CE 67 217 0 28 Jan 2021
A Probabilistic Graphical Model Foundation for Enabling Predictive Digital Twins at Scale Michael G. Kapteyn Jacob V. R. Pretorius Karen E. Willcox 59 227 0 10 Dec 2020
Applying Convolutional Neural Networks to Data on Unstructured Meshes with Space-Filling Curves Claire E. Heaney Yuling Li Omar K. Matar Christopher C. Pain AI4CE 64 17 0 24 Nov 2020
Dynamical Variational Autoencoders: A Comprehensive Review Laurent Girin Simon Leglaive Xiaoyu Bie Julien Diard Thomas Hueber Xavier Alameda-Pineda BDL 99 219 0 28 Aug 2020
Hierarchical Deep Learning of Multiscale Differential Equation Time-Steppers Yuying Liu N. Kutz Steven L. Brunton AI4TS 47 78 0 22 Aug 2020
Deep Neural Networks for Nonlinear Model Order Reduction of Unsteady Flows Hamidreza Eivazi H. Veisi M. H. Naderi V. Esfahanian AI4CE 66 173 0 02 Jul 2020
Multiscale Simulations of Complex Systems by Learning their Effective Dynamics Pantelis R. Vlachas G. Arampatzis Caroline Uhler Petros Koumoutsakos AI4CE 58 150 0 24 Jun 2020
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 521 10,591 0 17 Feb 2020
Backpropagation Algorithms and Reservoir Computing in Recurrent Neural Networks for the Forecasting of Complex Spatiotemporal Dynamics Pantelis R. Vlachas Jaideep Pathak Brian R. Hunt T. Sapsis M. Girvan Edward Ott Petros Koumoutsakos AI4TS 61 395 0 09 Oct 2019
Is a Good Representation Sufficient for Sample Efficient Reinforcement Learning? S. Du Sham Kakade Ruosong Wang Lin F. Yang 190 193 0 07 Oct 2019
Modeling the Dynamics of PDE Systems with Physics-Constrained Deep Auto-Regressive Networks N. Geneva N. Zabaras AI4CE 69 275 0 13 Jun 2019
Machine Learning for Fluid Mechanics Steven Brunton B. R. Noack Petros Koumoutsakos AI4CE PINN 87 2,128 0 27 May 2019
Exascale Deep Learning for Climate Analytics Thorsten Kurth Sean Treichler Josh Romero M. Mudigonda Nathan Luehr ... Michael A. Matheson J. Deslippe M. Fatica P. Prabhat Michael Houston BDL 73 263 0 03 Oct 2018
Deep convolutional recurrent autoencoders for learning low-dimensional feature dynamics of fluid systems F. J. Gonzalez Maciej Balajewicz AI4CE 132 140 0 03 Aug 2018
Latent-space Physics: Towards Learning the Temporal Evolution of Fluid Flow S. Wiewel M. Becher N. Thürey AI4CE 97 276 0 27 Feb 2018
Data-Driven Forecasting of High-Dimensional Chaotic Systems with Long Short-Term Memory Networks Pantelis R. Vlachas Wonmin Byeon Z. Y. Wan T. Sapsis Petros Koumoutsakos AI4TS 68 475 0 21 Feb 2018
Efficient collective swimming by harnessing vortices through deep reinforcement learning S. Verma G. Novati Petros Koumoutsakos 61 365 0 07 Feb 2018
Octree Generating Networks: Efficient Convolutional Architectures for High-resolution 3D Outputs Maxim Tatarchenko Alexey Dosovitskiy Thomas Brox 3DV 96 741 0 28 Mar 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 842 5,841 0 05 Dec 2016
Overcoming catastrophic forgetting in neural networks J. Kirkpatrick Razvan Pascanu Neil C. Rabinowitz J. Veness Guillaume Desjardins ... A. Grabska-Barwinska Demis Hassabis Claudia Clopath D. Kumaran R. Hadsell CLL 374 7,572 0 02 Dec 2016
OctNet: Learning Deep 3D Representations at High Resolutions Gernot Riegler Ali O. Ulusoy Andreas Geiger 3DV 3DPC 230 1,481 0 15 Nov 2016
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.1K 150,364 0 22 Dec 2014
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 282 19,129 0 20 Dec 2014