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Learning Similarity Metrics for Numerical Simulations
v1v2 (latest)

Learning Similarity Metrics for Numerical Simulations

International Conference on Machine Learning (ICML), 2020
18 February 2020
Georg Kohl
Kiwon Um
Nils Thuerey
ArXiv (abs)PDFHTML

Papers citing "Learning Similarity Metrics for Numerical Simulations"

9 / 9 papers shown
Guiding diffusion models to reconstruct flow fields from sparse data
Guiding diffusion models to reconstruct flow fields from sparse data
Marc Amorós-Trepat
Luis Medrano-Navarro
Qiang Liu
Luca Guastoni
Nils Thuerey
DiffMAI4CE
331
10
0
22 Oct 2025
Generative Learning for Forecasting the Dynamics of Complex Systems
Generative Learning for Forecasting the Dynamics of Complex Systems
Han Gao
Sebastian Kaltenbach
Petros Koumoutsakos
AI4TSAI4CE
419
11
0
27 Feb 2024
Benchmarking Autoregressive Conditional Diffusion Models for Turbulent
  Flow Simulation
Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation
Georg Kohl
Li-Wei Chen
Nils Thuerey
AI4CEDiffM
391
57
0
04 Sep 2023
Eagle: Large-Scale Learning of Turbulent Fluid Dynamics with Mesh
  Transformers
Eagle: Large-Scale Learning of Turbulent Fluid Dynamics with Mesh TransformersInternational Conference on Learning Representations (ICLR), 2023
Steeven Janny
Aurélien Béneteau
Madiha Nadri Wolf
Julie Digne
Nicolas Thome
Christian Wolf
AI4CE
490
59
0
16 Feb 2023
DL4SciVis: A State-of-the-Art Survey on Deep Learning for Scientific
  Visualization
DL4SciVis: A State-of-the-Art Survey on Deep Learning for Scientific VisualizationIEEE Transactions on Visualization and Computer Graphics (TVCG), 2022
Chaoli Wang
J. Han
335
57
0
13 Apr 2022
Learning the Dynamics of Physical Systems from Sparse Observations with
  Finite Element Networks
Learning the Dynamics of Physical Systems from Sparse Observations with Finite Element NetworksInternational Conference on Learning Representations (ICLR), 2022
Marten Lienen
Stephan Günnemann
AI4TS
186
46
0
16 Mar 2022
Deep Neural Networks to Correct Sub-Precision Errors in CFD
Deep Neural Networks to Correct Sub-Precision Errors in CFDApplications in Energy and Combustion Science (AECS), 2022
Akash Haridas
N. R. Vadlamani
Y. Minamoto
190
6
0
09 Feb 2022
Learning Similarity Metrics for Volumetric Simulations with Multiscale
  CNNs
Learning Similarity Metrics for Volumetric Simulations with Multiscale CNNsAAAI Conference on Artificial Intelligence (AAAI), 2022
Georg Kohl
Li-Wei Chen
Nils Thuerey
189
0
0
08 Feb 2022
Neural Image Beauty Predictor Based on Bradley-Terry Model
Neural Image Beauty Predictor Based on Bradley-Terry Model
Shiyu Li
Hao Ma
Xiangyu Y. Hu
185
3
0
19 Nov 2021
1
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