Latent-space Physics: Towards Learning the Temporal Evolution of Fluid Flow

27 February 2018

Papers citing "Latent-space Physics: Towards Learning the Temporal Evolution of Fluid Flow"

48 / 48 papers shown

Title
FluidNexus: 3D Fluid Reconstruction and Prediction from a Single Video Yue Gao Hong-Xing Yu Bo Zhu Jiajun Wu VGen 59 1 0 06 Mar 2025
Mamba Neural Operator: Who Wins? Transformers vs. State-Space Models for PDEs Chun-Wun Cheng Jiahao Huang Yi Zhang Guang Yang Carola-Bibiane Schonlieb Angelica I Aviles-Rivero Mamba AI4CE 85 2 0 03 Oct 2024
End-to-End Mesh Optimization of a Hybrid Deep Learning Black-Box PDE Solver Shaocong Ma James Diffenderfer B. Kailkhura Yi Zhou AI4CE 38 0 0 17 Apr 2024
Universal Physics Transformers: A Framework For Efficiently Scaling Neural Operators Benedikt Alkin Andreas Fürst Simon Schmid Lukas Gruber Markus Holzleitner Johannes Brandstetter PINN AI4CE 42 8 0 19 Feb 2024
Inferring Hybrid Neural Fluid Fields from Videos Hong-Xing Yu Yang Zheng Yuan Gao Yitong Deng Bo Zhu Jiajun Wu 3DH 27 15 0 11 Dec 2023
Differentiable Visual Computing for Inverse Problems and Machine Learning Andrew Spielberg Fangcheng Zhong Konstantinos Rematas Krishna Murthy Jatavallabhula Cengiz Öztireli Tzu-Mao Li Derek Nowrouzezahrai 38 7 0 21 Nov 2023
Hierarchical deep learning-based adaptive time-stepping scheme for multiscale simulations Asif Hamid Danish Rafiq S. A. Nahvi M. A. Bazaz AI4CE 34 1 0 10 Nov 2023
LiCROM: Linear-Subspace Continuous Reduced Order Modeling with Neural Fields Yue Chang Peter Yichen Chen Zhecheng Wang Maurizio M. Chiaramonte Kevin Carlberg E. Grinspun AI4CE 18 7 0 24 Oct 2023
Embedding stochastic differential equations into neural networks via dual processes Naoki Sughishita Jun Ohkubo 12 1 0 08 Jun 2023
Stability of implicit neural networks for long-term forecasting in dynamical systems Léon Migus J. Salomon Patrick Gallinari AI4TS AI4CE 26 1 0 26 May 2023
Learning from Predictions: Fusing Training and Autoregressive Inference for Long-Term Spatiotemporal Forecasts Pantelis R. Vlachas P. Koumoutsakos AI4TS AI4CE 16 7 0 22 Feb 2023
Learning Vortex Dynamics for Fluid Inference and Prediction Yitong Deng Hong-Xing Yu Jiajun Wu Bo Zhu MDE 26 19 0 27 Jan 2023
CIMS: Correction-Interpolation Method for Smoke Simulation Yun-Hwa Lee Dohae Lee Young-Jin Oh In-Kwon Lee 19 0 0 28 Dec 2022
A Physics-informed Diffusion Model for High-fidelity Flow Field Reconstruction Dule Shu Zijie Li A. Farimani DiffM AI4CE 33 122 0 26 Nov 2022
Parameter-varying neural ordinary differential equations with partition-of-unity networks Kookjin Lee N. Trask 22 2 0 01 Oct 2022
IDLat: An Importance-Driven Latent Generation Method for Scientific Data Jingyi Shen Haoyu Li Jiayi Xu Ayan Biswas Han-Wei Shen MedIm DiffM 15 6 0 05 Aug 2022
Transformer for Partial Differential Equations' Operator Learning Zijie Li Kazem Meidani A. Farimani 42 140 0 26 May 2022
Towards Fast Simulation of Environmental Fluid Mechanics with Multi-Scale Graph Neural Networks Mario Lino Stathi Fotiadis Anil A. Bharath C. Cantwell AI4CE 11 12 0 05 May 2022
Predicting Real-time Scientific Experiments Using Transformer models and Reinforcement Learning J. M. Parrilla-Gutierrez AI4CE 19 0 0 25 Apr 2022
DL4SciVis: A State-of-the-Art Survey on Deep Learning for Scientific Visualization Chaoli Wang J. Han 28 36 0 13 Apr 2022
An AI-based Domain-Decomposition Non-Intrusive Reduced-Order Model for Extended Domains applied to Multiphase Flow in Pipes C. Heaney Zef Wolffs Jón Atli Tómasson L. Kahouadji P. Salinas A. Nicolle Omar K. Matar Ionel M. Navon N. Srinil Christopher C. Pain AI4CE 24 21 0 13 Feb 2022
Bounded nonlinear forecasts of partially observed geophysical systems with physics-constrained deep learning Said Ouala Steven L. Brunton A. Pascual Bertrand Chapron F. Collard L. Gaultier Ronan Fablet PINN AI4TS AI4CE 18 10 0 11 Feb 2022
Tutorial on amortized optimization Brandon Amos OffRL 75 43 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 20 3 0 22 Dec 2021
Learning quantum dynamics with latent neural ODEs M. Choi Daniel Flam-Shepherd T. Kyaw A. Aspuru‐Guzik BDL AI4CE 10 5 0 20 Oct 2021
Model reduction for the material point method via an implicit neural representation of the deformation map Peter Yichen Chen Maurizio M. Chiaramonte E. Grinspun Kevin Carlberg 21 15 0 25 Sep 2021
Physics-Guided Deep Learning for Dynamical Systems: A Survey Rui Wang Rose Yu AI4CE PINN 37 64 0 02 Jul 2021
Symplectic Learning for Hamiltonian Neural Networks M. David Florian Méhats 11 34 0 22 Jun 2021
Learning to Optimize: A Primer and A Benchmark Tianlong Chen Xiaohan Chen Wuyang Chen Howard Heaton Jialin Liu Zhangyang Wang W. Yin 30 225 0 23 Mar 2021
Transferable Model for Shape Optimization subject to Physical Constraints Lukas Harsch Johannes Burgbacher S. Riedelbauch AI4CE 21 1 0 19 Mar 2021
Multi-objective discovery of PDE systems using evolutionary approach M. Maslyaev A. Hvatov 18 5 0 11 Mar 2021
Data-driven Identification of 2D Partial Differential Equations using extracted physical features Kazem Meidani A. Farimani 13 17 0 20 Oct 2020
Smoothed Particle Hydrodynamics Techniques for the Physics Based Simulation of Fluids and Solids Dan Koschier Jan Bender B. Solenthaler M. Teschner AI4CE 22 84 0 15 Sep 2020
An autoencoder-based reduced-order model for eigenvalue problems with application to neutron diffusion Toby R. F. Phillips C. Heaney Paul N. Smith Christopher C. Pain 28 57 0 15 Aug 2020
Combining Differentiable PDE Solvers and Graph Neural Networks for Fluid Flow Prediction Filipe de Avila Belbute-Peres T. Economon J. Zico Kolter AI4CE 20 223 0 08 Jul 2020
Multi-fidelity Generative Deep Learning Turbulent Flows N. Geneva N. Zabaras AI4CE 14 44 0 08 Jun 2020
Lagrangian Neural Style Transfer for Fluids Byungsoo Kim Vinicius Azevedo Markus Gross B. Solenthaler 25 37 0 02 May 2020
Learning to Simulate Complex Physics with Graph Networks Alvaro Sanchez-Gonzalez Jonathan Godwin Tobias Pfaff Rex Ying J. Leskovec Peter W. Battaglia PINN AI4CE 51 1,046 0 21 Feb 2020
Dynamic Upsampling of Smoke through Dictionary-based Learning Kai-Yi Bai Wei Li M. Desbrun Xiaopei Liu AI4CE 8 27 0 21 Oct 2019
Realtime Simulation of Thin-Shell Deformable Materials using CNN-Based Mesh Embedding Qingyang Tan Zherong Pan Lin Gao Dinesh Manocha AI4CE 6 22 0 26 Sep 2019
Transport-Based Neural Style Transfer for Smoke Simulations Byungsoo Kim Vinicius Azevedo Markus Gross B. Solenthaler 14 52 0 17 May 2019
PDE-Net 2.0: Learning PDEs from Data with A Numeric-Symbolic Hybrid Deep Network Zichao Long Yiping Lu Bin Dong AI4CE 20 541 0 30 Nov 2018
Neural Ordinary Differential Equations T. Chen Yulia Rubanova J. Bettencourt D. Duvenaud AI4CE 13 4,925 0 19 Jun 2018
A Compositional Object-Based Approach to Learning Physical Dynamics Michael Chang T. Ullman Antonio Torralba J. Tenenbaum AI4CE OCL 241 438 0 01 Dec 2016
Interaction Networks for Learning about Objects, Relations and Physics Peter W. Battaglia Razvan Pascanu Matthew Lai Danilo Jimenez Rezende Koray Kavukcuoglu AI4CE OCL PINN GNN 278 1,400 0 01 Dec 2016
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling Jiajun Wu Chengkai Zhang Tianfan Xue Bill Freeman J. Tenenbaum GAN 168 1,940 0 24 Oct 2016
Recurrent Neural Networks for Multivariate Time Series with Missing Values Zhengping Che S. Purushotham Kyunghyun Cho David Sontag Yan Liu AI4TS 205 1,895 0 06 Jun 2016
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 230 7,903 0 13 Jun 2015