Learning spatiotemporal dynamics with a pretrained generative model

The ERA5 global reanalysis

Hans Hersbach, Bill Bell, Paul Berrisford et al. · Quarterly Journal of the Royal Meteorological Society · 2020 · 28.1K citations · Full text

Engineering, Atmospheric Sounding, Climate Modeling +17

Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations

Maziar Raissi, Paris Perdikaris, George Em Karniadakis · Journal of Computational Physics · 2018 · 14.4K citations · Full text

Engineering, Pde-constrained Optimization, Deep Learning Framework +6

High-Resolution Image Synthesis with Latent Diffusion Models

Robin Rombach, Andreas Blattmann, Dominik Lorenz et al. · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · 2022 · 12.1K citations

Engineering, Machine Learning, Latent Diffusion Models +21

A Comprehensive Survey on Graph Neural Networks

IEEE Transactions on Neural Networks and Learning Systems · 2020 · 8.4K citations · Full text

Dynamic mode decomposition of numerical and experimental data

Peter J. Schmid · Journal of Fluid Mechanics · 2010 · 5.5K citations · Full text

Numerical Analysis, Aeroacoustics, Reduced Order Modeling +19