Deep Learning for Physical Processes: Incorporating Prior Scientific Knowledge

21 November 2017

Papers citing "Deep Learning for Physical Processes: Incorporating Prior Scientific Knowledge"

48 / 48 papers shown

Title
Hybrid Modeling Design Patterns Maja Rudolph Stefan Kurz Barbara Rakitsch AI4CE 46 8 0 29 Dec 2023
PastNet: Introducing Physical Inductive Biases for Spatio-temporal Video Prediction Hao Wu Wei Xion Fan Xu Xian-Sheng Hua C. L. Philip Chen Xiansheng Hua AI4TS 39 27 0 19 May 2023
Inductive biases in deep learning models for weather prediction Jannik Thümmel Matthias Karlbauer S. Otte C. Zarfl Georg Martius ... Thomas Scholten Ulrich Friedrich V. Wulfmeyer B. Goswami Martin Volker Butz AI4CE 51 6 0 06 Apr 2023
On the Connection Between MPNN and Graph Transformer Chen Cai Truong-Son Hy Rose Yu Yusu Wang 49 53 0 27 Jan 2023
AirfRANS: High Fidelity Computational Fluid Dynamics Dataset for Approximating Reynolds-Averaged Navier-Stokes Solutions F. Bonnet Jocelyn Ahmed Mazari Paola Cinnella Patrick Gallinari AI4CE 38 55 0 15 Dec 2022
Learning 4DVAR inversion directly from observations Arthur Filoche J. Brajard A. Charantonis Dominique Béréziat 29 2 0 17 Nov 2022
MAgNet: Mesh Agnostic Neural PDE Solver Oussama Boussif D. Assouline L. Benabbou Yoshua Bengio AI4CE 108 29 0 11 Oct 2022
Continuous PDE Dynamics Forecasting with Implicit Neural Representations Yuan Yin Matthieu Kirchmeyer Jean-Yves Franceschi A. Rakotomamonjy Patrick Gallinari AI4CE 32 49 0 29 Sep 2022
Wavelet-based Loss for High-frequency Interface Dynamics L. Prantl Jan Bender Tassilo Kugelstadt Nils Thuerey GAN 35 0 0 06 Sep 2022
Differentiable Programming for Earth System Modeling Maximilian Gelbrecht Alistair J R White S. Bathiany Niklas Boers 26 16 0 29 Aug 2022
Efficient data-driven gap filling of satellite image time series using deep neural networks with partial convolutions M. Appel 16 3 0 18 Aug 2022
A Model-Constrained Tangent Slope Learning Approach for Dynamical Systems Hai V. Nguyen T. Bui-Thanh 41 2 0 09 Aug 2022
Decentralized digital twins of complex dynamical systems Omer San Suraj Pawar Adil Rasheed AI4CE 45 11 0 07 Jul 2022
Deep-learning-based prediction of nanoparticle phase transitions during in situ transmission electron microscopy W. Fu Steven Spurgeon Chongmin Wang Yuyan Shao Wei Wang A. Peles 33 1 0 23 May 2022
Knowledge-Integrated Informed AI for National Security Anu Myne Kevin J. Leahy Ryan Soklaski 21 0 0 04 Feb 2022
Filtered-CoPhy: Unsupervised Learning of Counterfactual Physics in Pixel Space Steeven Janny Fabien Baradel Natalia Neverova M. Nadri Greg Mori Christian Wolf CML 38 15 0 01 Feb 2022
Latent Space Simulation for Carbon Capture Design Optimization Brian Bartoldson Rui Wang Yu-Hang Fu David Widemann Sam Nguyen J. Bao Zhijie Xu Brenda Ng 33 3 0 22 Dec 2021
SPDCinv: Inverse Quantum-Optical Design of High-Dimensional Qudits Eyal Rozenberg Aviv Karnieli O. Yesharim Joshua Foley-Comer Sivan Trajtenberg‐Mills Daniel Freedman A. Bronstein A. Arie 43 0 0 11 Dec 2021
Climate Modeling with Neural Diffusion Equations JeeHyun Hwang Jeongwhan Choi Hwan-Kyu Choi Kookjin Lee Dongeun Lee Noseong Park DiffM 34 22 0 11 Nov 2021
Physically Explainable CNN for SAR Image Classification Zhongling Huang Xiwen Yao Ying Liu C. Dumitru Mihai Datcu Junwei Han PINN 27 60 0 27 Oct 2021
Modeling the effect of the vaccination campaign on the Covid-19 pandemic M. Angeli Georgios Neofotistos M. Mattheakis E. Kaxiras 30 37 0 27 Aug 2021
A Survey of Uncertainty in Deep Neural Networks J. Gawlikowski Cedrique Rovile Njieutcheu Tassi Mohsin Ali Jongseo Lee Matthias Humt ... R. Roscher Muhammad Shahzad Wen Yang R. Bamler Xiaoxiang Zhu BDL UQCV OOD 66 1,112 0 07 Jul 2021
Physics-Guided Deep Learning for Dynamical Systems: A Survey Rui Wang Rose Yu AI4CE PINN 46 65 0 02 Jul 2021
Symplectic Learning for Hamiltonian Neural Networks M. David Florian Méhats 24 36 0 22 Jun 2021
LEADS: Learning Dynamical Systems that Generalize Across Environments Yuan Yin Ibrahim Ayed Emmanuel de Bézenac Nicolas Baskiotis Patrick Gallinari OOD 21 31 0 08 Jun 2021
Bridging observation, theory and numerical simulation of the ocean using Machine Learning Maike Sonnewald Redouane Lguensat Daniel C. Jones P. Dueben J. Brajard Venkatramani Balaji AI4Cl AI4CE 51 100 0 26 Apr 2021
Towards a Collective Agenda on AI for Earth Science Data Analysis D. Tuia R. Roscher Jan Dirk Wegner Nathan Jacobs Xiaoxiang Zhu Gustau Camps-Valls AI4CE 44 68 0 11 Apr 2021
Deep KKL: Data-driven Output Prediction for Non-Linear Systems Steeven Janny V. Andrieu Madiha Nadri Wolf Christian Wolf AI4TS 22 13 0 23 Mar 2021
Physics-Integrated Variational Autoencoders for Robust and Interpretable Generative Modeling Naoya Takeishi Alexandros Kalousis DRL AI4CE 40 54 0 25 Feb 2021
Meta-Learning Dynamics Forecasting Using Task Inference Rui Wang Robin Walters Rose Yu OOD AI4TS AI4CE 34 32 0 20 Feb 2021
A Deep Learning Approach for Predicting Spatiotemporal Dynamics From Sparsely Observed Data Priyabrata Saha Saibal Mukhopadhyay AI4CE 29 4 0 30 Nov 2020
Hurricane Forecasting: A Novel Multimodal Machine Learning Framework L. Boussioux C. Zeng Théo Guénais Dimitris Bertsimas 18 38 0 11 Nov 2020
Data-driven Identification of 2D Partial Differential Equations using extracted physical features Kazem Meidani A. Farimani 21 17 0 20 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 33 132 0 09 Oct 2020
Combining data assimilation and machine learning to infer unresolved scale parametrisation J. Brajard A. Carrassi Marc Bocquet Laurent Bertino 14 112 0 09 Sep 2020
Statistical Downscaling of Temperature Distributions from the Synoptic Scale to the Mesoscale Using Deep Convolutional Neural Networks T. Sekiyama AI4Cl 16 8 0 20 Jul 2020
Physics-aware Spatiotemporal Modules with Auxiliary Tasks for Meta-Learning Sungyong Seo Chuizheng Meng Sirisha Rambhatla Yan Liu AI4CE 23 11 0 15 Jun 2020
A review of radar-based nowcasting of precipitation and applicable machine learning techniques R. Prudden Samantha V. Adams D. Kangin Nial H. Robinson Suman V. Ravuri S. Mohamed A. Arribas AI4Cl OffRL 45 45 0 11 May 2020
Disentangling Physical Dynamics from Unknown Factors for Unsupervised Video Prediction Vincent Le Guen Nicolas Thome AI4CE PINN 98 289 0 03 Mar 2020
Incorporating Symmetry into Deep Dynamics Models for Improved Generalization Rui Wang Robin Walters Rose Yu AI4CE 54 170 0 08 Feb 2020
Deep Integro-Difference Equation Models for Spatio-Temporal Forecasting A. Zammit‐Mangion C. Wikle 18 47 0 29 Oct 2019
Tropical Cyclone Track Forecasting using Fused Deep Learning from Aligned Reanalysis Data Sophie Giffard-Roisin Mo Yang Guillaume Charpiat Christina Kumler-Bonfanti Balázs Kégl C. Monteleoni 13 86 0 23 Oct 2019
Statistical and machine learning ensemble modelling to forecast sea surface temperature Stefan Wolff Fearghal O'Donncha Bei Chen AI4Cl 27 73 0 18 Sep 2019
Informed Machine Learning -- A Taxonomy and Survey of Integrating Knowledge into Learning Systems Laura von Rueden S. Mayer Katharina Beckh B. Georgiev Sven Giesselbach ... Rajkumar Ramamurthy Michal Walczak Jochen Garcke Christian Bauckhage Jannis Schuecker 39 626 0 29 Mar 2019
Learning Dynamical Systems from Partial Observations Ibrahim Ayed Emmanuel de Bézenac Arthur Pajot J. Brajard Patrick Gallinari AI4TS 30 91 0 26 Feb 2019
PDE-Net 2.0: Learning PDEs from Data with A Numeric-Symbolic Hybrid Deep Network Zichao Long Yiping Lu Bin Dong AI4CE 31 543 0 30 Nov 2018
DeepCMB: Lensing Reconstruction of the Cosmic Microwave Background with Deep Neural Networks J. Caldeira W. L. K. Wu Brian D. Nord Camille Avestruz Shubhendu Trivedi K. Story 28 63 0 02 Oct 2018
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 239 7,921 0 13 Jun 2015