Clifford Neural Layers for PDE Modeling

8 September 2022

Johannes Brandstetter

Papers citing "Clifford Neural Layers for PDE Modeling"

43 / 93 papers shown

Title
Learning to Simulate Complex Physics with Graph Networks Alvaro Sanchez-Gonzalez Jonathan Godwin Tobias Pfaff Rex Ying J. Leskovec Peter W. Battaglia PINN AI4CE 131 1,088 0 21 Feb 2020
Incorporating Symmetry into Deep Dynamics Models for Improved Generalization Rui Wang Robin Walters Rose Yu AI4CE 107 175 0 08 Feb 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 408 42,393 0 03 Dec 2019
Towards Physics-informed Deep Learning for Turbulent Flow Prediction Rui Wang K. Kashinath M. Mustafa A. Albert Rose Yu PINN AI4CE 39 365 0 20 Nov 2019
General $E(2)$ -Equivariant Steerable CNNs Maurice Weiler Gabriele Cesa 91 524 0 19 Nov 2019
DeepONet: Learning nonlinear operators for identifying differential equations based on the universal approximation theorem of operators Lu Lu Pengzhan Jin George Karniadakis 220 2,119 0 08 Oct 2019
Deep neural network solution of the electronic Schrödinger equation J. Hermann Zeno Schätzle Frank Noé 202 455 0 16 Sep 2019
Ab-Initio Solution of the Many-Electron Schrödinger Equation with Deep Neural Networks David Pfau J. Spencer A. G. Matthews W. Foulkes 72 461 0 05 Sep 2019
Deep Lagrangian Networks: Using Physics as Model Prior for Deep Learning M. Lutter Christian Ritter Jan Peters PINN AI4CE 58 377 0 10 Jul 2019
Modeling the Dynamics of PDE Systems with Physics-Constrained Deep Auto-Regressive Networks N. Geneva N. Zabaras AI4CE 59 273 0 13 Jun 2019
Combining Generative and Discriminative Models for Hybrid Inference Victor Garcia Satorras Zeynep Akata Max Welling 59 56 0 06 Jun 2019
Learning Neural PDE Solvers with Convergence Guarantees Jun-Ting Hsieh Shengjia Zhao Stephan Eismann L. Mirabella Stefano Ermon AI4CE 49 144 0 04 Jun 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks Mingxing Tan Quoc V. Le 3DV MedIm 131 18,106 0 28 May 2019
Quaternion Convolutional Neural Networks Xuanyu Zhu Yi Tian Xu Hongteng Xu Changjian Chen 57 151 0 02 Mar 2019
Learning to Optimize Multigrid PDE Solvers D. Greenfeld Meirav Galun Ron Kimmel I. Yavneh Ronen Basri AI4CE 51 117 0 25 Feb 2019
A General Framework for Structured Learning of Mechanical Systems Jayesh K. Gupta Kunal Menda Zachary Manchester Mykel J. Kochenderfer AI4CE 53 35 0 22 Feb 2019
A General Theory of Equivariant CNNs on Homogeneous Spaces Taco S. Cohen Mario Geiger Maurice Weiler MLT AI4CE 205 314 0 05 Nov 2018
Quaternion Convolutional Neural Networks for Heterogeneous Image Processing Titouan Parcollet Mohamed Morchid G. Linarès 162 93 0 31 Oct 2018
3D Steerable CNNs: Learning Rotationally Equivariant Features in Volumetric Data Maurice Weiler Mario Geiger Max Welling Wouter Boomsma Taco S. Cohen 3DPC 91 504 0 06 Jul 2018
Quaternion Convolutional Neural Networks for End-to-End Automatic Speech Recognition Titouan Parcollet Yanzhe Zhang Mohamed Morchid C. Trabelsi G. Linarès R. Mori Yoshua Bengio 41 99 0 20 Jun 2018
Quaternion Recurrent Neural Networks Titouan Parcollet Mirco Ravanelli Mohamed Morchid G. Linarès C. Trabelsi R. Mori Yoshua Bengio 26 131 0 12 Jun 2018
On the Generalization of Equivariance and Convolution in Neural Networks to the Action of Compact Groups Risi Kondor Shubhendu Trivedi MLT 107 498 0 11 Feb 2018
Bayesian Deep Convolutional Encoder-Decoder Networks for Surrogate Modeling and Uncertainty Quantification Yinhao Zhu N. Zabaras UQCV BDL 97 642 0 21 Jan 2018
MobileNetV2: Inverted Residuals and Linear Bottlenecks Mark Sandler Andrew G. Howard Menglong Zhu A. Zhmoginov Liang-Chieh Chen 171 19,262 0 13 Jan 2018
Deep Quaternion Networks Chase J. Gaudet Anthony Maida 58 162 0 13 Dec 2017
Squeeze-and-Excitation Networks Jie Hu Li Shen Samuel Albanie Gang Sun Enhua Wu 405 26,465 0 05 Sep 2017
DGM: A deep learning algorithm for solving partial differential equations Justin A. Sirignano K. Spiliopoulos AI4CE 89 2,060 0 24 Aug 2017
ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices Xiangyu Zhang Xinyu Zhou Mengxiao Lin Jian Sun AI4TS 132 6,865 0 04 Jul 2017
Deep Complex Networks C. Trabelsi O. Bilaniuk Ying Zhang Dmitriy Serdyuk Sandeep Subramanian J. F. Santos Soroush Mehri Negar Rostamzadeh Yoshua Bengio C. Pal 178 833 0 27 May 2017
Improved Texture Networks: Maximizing Quality and Diversity in Feed-forward Stylization and Texture Synthesis Dmitry Ulyanov Andrea Vedaldi Victor Lempitsky OOD 82 794 0 09 Jan 2017
Steerable CNNs Taco S. Cohen Max Welling BDL 135 499 0 27 Dec 2016
Harmonic Networks: Deep Translation and Rotation Equivariance Daniel E. Worrall Stephan J. Garbin Daniyar Turmukhambetov Gabriel J. Brostow 105 710 0 14 Dec 2016
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 789 3,282 0 24 Nov 2016
SGDR: Stochastic Gradient Descent with Warm Restarts I. Loshchilov Frank Hutter ODL 288 8,114 0 13 Aug 2016
Layer Normalization Jimmy Lei Ba J. Kiros Geoffrey E. Hinton 371 10,481 0 21 Jul 2016
Gaussian Error Linear Units (GELUs) Dan Hendrycks Kevin Gimpel 167 5,001 0 27 Jun 2016
Group Equivariant Convolutional Networks Taco S. Cohen Max Welling BDL 146 1,934 0 24 Feb 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 193,814 0 10 Dec 2015
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 546 7,985 0 13 Jun 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 1.8K 77,099 0 18 May 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 446 43,277 0 11 Feb 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification Kaiming He Xinming Zhang Shaoqing Ren Jian Sun VLM 305 18,609 0 06 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.7K 150,006 0 22 Dec 2014