iPINNs: Incremental learning for Physics-informed neural networks

iPINNs: Incremental learning for Physics-informed neural networks

10 April 2023

Aleksandr Dekhovich

Miguel A. Bessa

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Papers citing "iPINNs: Incremental learning for Physics-informed neural networks"

19 / 19 papers shown

Title
Lagrangian PINNs: A causality-conforming solution to failure modes of physics-informed neural networks R. Mojgani Maciej Balajewicz Pedram Hassanzadeh PINN 73 46 0 05 May 2022
A Metalearning Approach for Physics-Informed Neural Networks (PINNs): Application to Parameterized PDEs Michael Penwarden Shandian Zhe A. Narayan Robert M. Kirby PINN AI4CE 84 44 0 26 Oct 2021
Avoiding Forgetting and Allowing Forward Transfer in Continual Learning via Sparse Networks Ghada Sokar Decebal Constantin Mocanu Mykola Pechenizkiy CLL 78 8 0 11 Oct 2021
Neural network relief: a pruning algorithm based on neural activity Aleksandr Dekhovich David Tax M. Sluiter Miguel A. Bessa 77 11 0 22 Sep 2021
Physics-informed neural networks (PINNs) for fluid mechanics: A review Shengze Cai Zhiping Mao Zhicheng Wang Minglang Yin George Karniadakis PINN AI4CE 85 1,201 0 20 May 2021
Physics-informed neural networks with hard constraints for inverse design Lu Lu R. Pestourie Wenjie Yao Zhicheng Wang F. Verdugo Steven G. Johnson PINN 97 520 0 09 Feb 2021
Review and Comparison of Commonly Used Activation Functions for Deep Neural Networks Tomasz Szandała 116 289 0 15 Oct 2020
SpaceNet: Make Free Space For Continual Learning Ghada Sokar Decebal Constantin Mocanu Mykola Pechenizkiy CLL 64 81 0 15 Jul 2020
Solving Allen-Cahn and Cahn-Hilliard Equations using the Adaptive Physics Informed Neural Networks Colby Wight Jia Zhao 77 225 0 09 Jul 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
Lorentz Group Equivariant Neural Network for Particle Physics A. Bogatskiy Brandon M. Anderson Jan T. Offermann M. Roussi David W. Miller Risi Kondor AI4CE 70 141 0 08 Jun 2020
Transfer learning based multi-fidelity physics informed deep neural network S. Chakraborty PINN OOD AI4CE 72 165 0 19 May 2020
$Transfer learning enhanced physics informed neural network for phase-field modeling of fracture$ Transfer learning enhanced physics informed neural network for phase-field modeling of fracture S. Goswami C. Anitescu S. Chakraborty Timon Rabczuk PINN 81 612 0 04 Jul 2019
A Survey on Deep Transfer Learning Chuanqi Tan F. Sun Tao Kong Wenchang Zhang Chao Yang Chunfang Liu 70 2,591 0 06 Aug 2018
End-to-End Incremental Learning F. M. Castro M. Marín-Jiménez Nicolás Guil Mata Cordelia Schmid Alahari Karteek CLL 87 1,160 0 25 Jul 2018
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks Jonathan Frankle Michael Carbin 266 3,488 0 09 Mar 2018
Gradient Episodic Memory for Continual Learning David Lopez-Paz MarcÁurelio Ranzato VLM CLL 131 2,738 0 26 Jun 2017
Learning to Prune Deep Neural Networks via Layer-wise Optimal Brain Surgeon Xin Luna Dong Shangyu Chen Sinno Jialin Pan 183 506 0 22 May 2017
Learning both Weights and Connections for Efficient Neural Networks Song Han Jeff Pool J. Tran W. Dally CVBM 316 6,709 0 08 Jun 2015