v1v2v3 (latest)

Generalizing to New Physical Systems via Context-Informed Dynamics Model

1 February 2022

ArXiv (abs)PDF HTML Github (24★)

Papers citing "Generalizing to New Physical Systems via Context-Informed Dynamics Model"

45 / 45 papers shown

Title
Learning Interpretable Hierarchical Dynamical Systems Models from Time Series Data Manuel Brenner Elias Weber G. Koppe Daniel Durstewitz AI4TS AI4CE 109 8 0 07 Oct 2024
Meta-Dynamical State Space Models for Integrative Neural Data Analysis Ayesha Vermani Josue Nassar Hyungju Jeon Matthew Dowling Il Memming Park 134 1 0 07 Oct 2024
Data-driven approaches for predicting spread of infectious diseases through DINNs: Disease Informed Neural Networks Sagi Shaier M. Raissi P. Seshaiyer PINN AI4CE 98 26 0 11 Oct 2021
Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation Haoxiang Wang Han Zhao Yue Liu 110 90 0 16 Jun 2021
LEADS: Learning Dynamical Systems that Generalize Across Environments Yuan Yin Ibrahim Ayed Emmanuel de Bézenac Nicolas Baskiotis Patrick Gallinari OOD 73 34 0 08 Jun 2021
Generalizing to Unseen Domains: A Survey on Domain Generalization Jindong Wang Cuiling Lan Chang-Shu Liu Yidong Ouyang Tao Qin Wang Lu Yiqiang Chen Wenjun Zeng Philip S. Yu OOD 257 1,235 0 02 Mar 2021
Meta-Learning Dynamics Forecasting Using Task Inference Rui Wang Robin Walters Rose Yu OOD AI4TS AI4CE 138 35 0 20 Feb 2021
Machine learning accelerated computational fluid dynamics Dmitrii Kochkov Jamie A. Smith Ayya Alieva Qing Wang M. Brenner Stephan Hoyer AI4CE 143 876 0 28 Jan 2021
Fourier Neural Operator for Parametric Partial Differential Equations Zong-Yi Li Nikola B. Kovachki Kamyar Azizzadenesheli Burigede Liu K. Bhattacharya Andrew M. Stuart Anima Anandkumar AI4CE 516 2,456 0 18 Oct 2020
Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting Yuan Yin Vincent Le Guen Jérémie Donà Emmanuel de Bézenac Ibrahim Ayed Nicolas Thome Patrick Gallinari AI4CE PINN 105 135 0 09 Oct 2020
Deep learning-based reduced order models in cardiac electrophysiology S. Fresca Andrea Manzoni Luca Dede' A. Quarteroni 57 67 0 02 Jun 2020
Context-aware Dynamics Model for Generalization in Model-Based Reinforcement Learning Kimin Lee Younggyo Seo Seunghyun Lee Honglak Lee Jinwoo Shin 101 133 0 14 May 2020
Out-of-Distribution Generalization via Risk Extrapolation (REx) David M. Krueger Ethan Caballero J. Jacobsen Amy Zhang Jonathan Binas Dinghuai Zhang Rémi Le Priol Aaron Courville OOD 328 944 0 02 Mar 2020
Symplectic Recurrent Neural Networks Zhengdao Chen Jianyu Zhang Martín Arjovsky Léon Bottou 209 225 0 29 Sep 2019
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML Aniruddh Raghu M. Raghu Samy Bengio Oriol Vinyals 315 647 0 19 Sep 2019
Modular Meta-Learning with Shrinkage Yutian Chen A. Friesen Feryal M. P. Behbahani Arnaud Doucet David Budden Matthew W. Hoffman Nando de Freitas KELM OffRL 112 35 0 12 Sep 2019
Meta-Learning with Warped Gradient Descent Sebastian Flennerhag Andrei A. Rusu Razvan Pascanu Francesco Visin Hujun Yin R. Hadsell 100 210 0 30 Aug 2019
Invariant Risk Minimization Martín Arjovsky Léon Bottou Ishaan Gulrajani David Lopez-Paz OOD 205 2,246 0 05 Jul 2019
Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive Processes James Requeima Jonathan Gordon J. Bronskill Sebastian Nowozin Richard Turner 76 243 0 18 Jun 2019
Hamiltonian Neural Networks S. Greydanus Misko Dzamba J. Yosinski PINN AI4CE 135 899 0 04 Jun 2019
PowerSGD: Practical Low-Rank Gradient Compression for Distributed Optimization Thijs Vogels Sai Praneeth Karimireddy Martin Jaggi 99 322 0 31 May 2019
Meta-Learning with Differentiable Convex Optimization Kwonjoon Lee Subhransu Maji Avinash Ravichandran Stefano Soatto 98 1,269 0 07 Apr 2019
Attentive Neural Processes Hyunjik Kim A. Mnih Jonathan Richard Schwarz M. Garnelo S. M. Ali Eslami Dan Rosenbaum Oriol Vinyals Yee Whye Teh 106 442 0 17 Jan 2019
DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation Jeong Joon Park Peter R. Florence Julian Straub Richard Newcombe S. Lovegrove 3DV 141 3,709 0 16 Jan 2019
Gradient Descent Happens in a Tiny Subspace Guy Gur-Ari Daniel A. Roberts Ethan Dyer 103 234 0 12 Dec 2018
How to train your MAML Antreas Antoniou Harrison Edwards Amos Storkey 74 778 0 22 Oct 2018
Meta-Learning with Latent Embedding Optimization Andrei A. Rusu Dushyant Rao Jakub Sygnowski Oriol Vinyals Razvan Pascanu Simon Osindero R. Hadsell 150 1,374 0 16 Jul 2018
Conditional Neural Processes M. Garnelo Dan Rosenbaum Chris J. Maddison Tiago Ramalho D. Saxton Murray Shanahan Yee Whye Teh Danilo Jimenez Rezende S. M. Ali Eslami UQCV BDL 90 706 0 04 Jul 2018
Meta-learning with differentiable closed-form solvers Luca Bertinetto João F. Henriques Philip Torr Andrea Vedaldi ODL 102 931 0 21 May 2018
Measuring the Intrinsic Dimension of Objective Landscapes Chunyuan Li Heerad Farkhoor Rosanne Liu J. Yosinski 91 416 0 24 Apr 2018
Learning to Adapt in Dynamic, Real-World Environments Through Meta-Reinforcement Learning Anusha Nagabandi I. Clavera Simin Liu R. Fearing Pieter Abbeel Sergey Levine Chelsea Finn 142 553 0 30 Mar 2018
Efficient parametrization of multi-domain deep neural networks Sylvestre-Alvise Rebuffi Hakan Bilen Andrea Vedaldi OOD 86 366 0 27 Mar 2018
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks Jonathan Frankle Michael Carbin 293 3,489 0 09 Mar 2018
Visualizing the Loss Landscape of Neural Nets Hao Li Zheng Xu Gavin Taylor Christoph Studer Tom Goldstein 268 1,901 0 28 Dec 2017
Deep Learning for Physical Processes: Incorporating Prior Scientific Knowledge Emmanuel de Bézenac Arthur Pajot Patrick Gallinari PINN AI4CE 118 319 0 21 Nov 2017
PDE-Net: Learning PDEs from Data Zichao Long Yiping Lu Xianzhong Ma Bin Dong DiffM AI4CE 75 761 0 26 Oct 2017
FiLM: Visual Reasoning with a General Conditioning Layer Ethan Perez Florian Strub H. D. Vries Vincent Dumoulin Aaron Courville FAtt AIMat OffRL AI4CE 375 2,239 0 22 Sep 2017
DGM: A deep learning algorithm for solving partial differential equations Justin A. Sirignano K. Spiliopoulos AI4CE 101 2,067 0 24 Aug 2017
Meta-SGD: Learning to Learn Quickly for Few-Shot Learning Zhenguo Li Fengwei Zhou Fei Chen Hang Li 101 1,121 0 31 Jul 2017
An Overview of Multi-Task Learning in Deep Neural Networks Sebastian Ruder CVBM 161 2,833 0 15 Jun 2017
Learning multiple visual domains with residual adapters Sylvestre-Alvise Rebuffi Hakan Bilen Andrea Vedaldi OOD 187 940 0 22 May 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 843 11,961 0 09 Mar 2017
Professor Forcing: A New Algorithm for Training Recurrent Networks Alex Lamb Anirudh Goyal Ying Zhang Saizheng Zhang Aaron Courville Yoshua Bengio GAN 124 597 0 27 Oct 2016
HyperNetworks David R Ha Andrew M. Dai Quoc V. Le 174 1,633 0 27 Sep 2016
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.1K 150,433 0 22 Dec 2014