On the effectiveness of neural priors in modeling dynamical systems

On the effectiveness of neural priors in modeling dynamical systems

10 March 2023

Sameera Ramasinghe

Hemanth Saratchandran

Violetta Shevchenko

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Papers citing "On the effectiveness of neural priors in modeling dynamical systems"

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Title
Recurrent Neural Networks for Dynamical Systems: Applications to Ordinary Differential Equations, Collective Motion, and Hydrological Modeling Yonggi Park Kelum Gajamannage D. Jayathilake Erik Bollt AI4CE 73 20 0 14 Feb 2022
Discovering Governing Equations from Partial Measurements with Deep Delay Autoencoders Joseph Bakarji Kathleen P. Champion J. Nathan Kutz Steven L. Brunton 93 86 0 13 Jan 2022
Beyond Periodicity: Towards a Unifying Framework for Activations in Coordinate-MLPs Sameera Ramasinghe Simon Lucey 86 129 0 30 Nov 2021
3D Neural Scene Representations for Visuomotor Control Yunzhu Li Shuang Li Vincent Sitzmann Pulkit Agrawal Antonio Torralba 117 141 0 08 Jul 2021
Learning Continuous Image Representation with Local Implicit Image Function Yinbo Chen Sifei Liu Xiaolong Wang SSL SupR CLL 102 681 0 16 Dec 2020
Adversarial Generation of Continuous Images Ivan Skorokhodov Savva Ignatyev Mohamed Elhoseiny GAN 95 174 0 24 Nov 2020
Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains Matthew Tancik Pratul P. Srinivasan B. Mildenhall Sara Fridovich-Keil N. Raghavan Utkarsh Singhal R. Ramamoorthi Jonathan T. Barron Ren Ng 133 2,449 0 18 Jun 2020
Implicit Neural Representations with Periodic Activation Functions Vincent Sitzmann Julien N. P. Martel Alexander W. Bergman David B. Lindell Gordon Wetzstein AI4TS 165 2,577 0 17 Jun 2020
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis B. Mildenhall Pratul P. Srinivasan Matthew Tancik Jonathan T. Barron R. Ramamoorthi Ren Ng 129 2,592 0 19 Mar 2020
DeepONet: Learning nonlinear operators for identifying differential equations based on the universal approximation theorem of operators Lu Lu Pengzhan Jin George Karniadakis 248 2,158 0 08 Oct 2019
Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations Vincent Sitzmann Michael Zollhoefer Gordon Wetzstein 3DPC 3DV 171 1,282 0 04 Jun 2019
Data Driven Governing Equations Approximation Using Deep Neural Networks Tong Qin Kailiang Wu D. Xiu PINN 81 273 0 13 Nov 2018
On the Spectral Bias of Neural Networks Nasim Rahaman A. Baratin Devansh Arpit Felix Dräxler Min Lin Fred Hamprecht Yoshua Bengio Aaron Courville 159 1,456 0 22 Jun 2018
Neural Ordinary Differential Equations T. Chen Yulia Rubanova J. Bettencourt David Duvenaud AI4CE 446 5,168 0 19 Jun 2018
Learning Deep Neural Network Representations for Koopman Operators of Nonlinear Dynamical Systems Enoch Yeung Soumya Kundu Nathan Oken Hodas AI4CE 77 387 0 22 Aug 2017
Synthesis of recurrent neural networks for dynamical system simulation Adam Trischler G. D’Eleuterio AI4CE 66 82 0 17 Dec 2015
Simulation-based model selection for dynamical systems in systems and population biology Tina Toni M. Stumpf 143 290 0 09 Nov 2009