DEQGAN: Learning the Loss Function for PINNs with Generative Adversarial Networks

15 September 2022

Papers citing "DEQGAN: Learning the Loss Function for PINNs with Generative Adversarial Networks"

20 / 20 papers shown

Title
One-Shot Transfer Learning of Physics-Informed Neural Networks Shaan Desai M. Mattheakis H. Joy P. Protopapas Stephen J. Roberts PINN AI4CE 60 58 0 21 Oct 2021
Semi-supervised Neural Networks solve an inverse problem for modeling Covid-19 spread Alessandro Paticchio Tommaso Scarlatti M. Mattheakis P. Protopapas Marco Brambilla 26 8 0 10 Oct 2020
FiniteNet: A Fully Convolutional LSTM Network Architecture for Time-Dependent Partial Differential Equations Ben Stevens T. Colonius AI4TS AI4CE 36 30 0 07 Feb 2020
Physical Symmetries Embedded in Neural Networks M. Mattheakis P. Protopapas D. Sondak Marco Di Giovanni E. Kaxiras PINN 48 71 0 18 Apr 2019
MSG-GAN: Multi-Scale Gradients for Generative Adversarial Networks Animesh Karnewar Oliver Wang GAN 42 50 0 14 Mar 2019
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 583 10,561 0 12 Dec 2018
Physics-Informed Generative Adversarial Networks for Stochastic Differential Equations Siyu Dai Shawn Schaffert Andreas G. Hofmann 120 365 0 05 Nov 2018
Tune: A Research Platform for Distributed Model Selection and Training Richard Liaw Eric Liang Robert Nishihara Philipp Moritz Joseph E. Gonzalez Ion Stoica 209 901 0 13 Jul 2018
Forward-Backward Stochastic Neural Networks: Deep Learning of High-dimensional Partial Differential Equations M. Raissi 102 187 0 19 Apr 2018
Distributional Reinforcement Learning with Quantile Regression Will Dabney Mark Rowland Marc G. Bellemare Rémi Munos 92 760 0 27 Oct 2017
On Convergence and Stability of GANs Naveen Kodali Jacob D. Abernethy James Hays Z. Kira GAN 49 87 0 19 May 2017
Improved Training of Wasserstein GANs Ishaan Gulrajani Faruk Ahmed Martín Arjovsky Vincent Dumoulin Aaron Courville GAN 207 9,548 0 31 Mar 2017
BEGAN: Boundary Equilibrium Generative Adversarial Networks David Berthelot Tom Schumm Luke Metz GAN 100 1,154 0 31 Mar 2017
Towards Principled Methods for Training Generative Adversarial Networks Martín Arjovsky M. Nault GAN 81 2,109 0 17 Jan 2017
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network C. Ledig Lucas Theis Ferenc Huszár Jose Caballero Andrew Cunningham ... Andrew P. Aitken Alykhan Tejani J. Totz Zehan Wang Wenzhe Shi GAN 242 10,693 0 15 Sep 2016
Improved Techniques for Training GANs Tim Salimans Ian Goodfellow Wojciech Zaremba Vicki Cheung Alec Radford Xi Chen GAN 480 9,052 0 10 Jun 2016
Autoencoding beyond pixels using a learned similarity metric Anders Boesen Lindbo Larsen Søren Kaae Sønderby Hugo Larochelle Ole Winther GAN 168 2,070 0 31 Dec 2015
Sequence to Sequence Learning with Neural Networks Ilya Sutskever Oriol Vinyals Quoc V. Le AIMat 434 20,568 0 10 Sep 2014
Neural Machine Translation by Jointly Learning to Align and Translate Dzmitry Bahdanau Kyunghyun Cho Yoshua Bengio AIMat 558 27,311 0 01 Sep 2014
Playing Atari with Deep Reinforcement Learning Volodymyr Mnih Koray Kavukcuoglu David Silver Alex Graves Ioannis Antonoglou Daan Wierstra Martin Riedmiller 127 12,231 0 19 Dec 2013