partial differential equation

Disentangling Physical Dynamics From Unknown Factors for Unsupervised Video Prediction CVPR 2020 Implicit Neural Representations with Periodic Activation Functions NeurIPS 2020 Learning Composable Energy Surrogates for PDE Order Reduction NeurIPS 2020 Learning Similarity Metrics for Numerical Simulations ICML 2020 Learning to Control PDEs with Differentiable Physics ICLR 2020 Multipole Graph Neural Operator for Parametric Partial Differential Equations NeurIPS 2020 PDO-eConvs: Partial Differential Operator Based Equivariant Convolutions ICML 2020 Robust Low-Rank Discovery of Data-Driven Partial Differential Equations AAAI 2020 Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers NeurIPS 2020 VarNet: Variational Neural Networks for the Solution of Partial Differential Equations L4DC 2020 Graph Element Networks: adaptive, structured computation and memory ICML 2019 Learning Neural PDE Solvers with Convergence Guarantees ICLR 2019 Neuron birth-death dynamics accelerates gradient descent and converges asymptotically ICML 2019 PDE Acceleration for Active Contours CVPR 2019 Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations JMLR 2018 HybridNet: Integrating Model-based and Data-driven Learning to Predict Evolution of Dynamical Systems CoRL 2018 Learned Shape-Tailored Descriptors for Segmentation CVPR 2018 PDE-Net: Learning PDEs from Data ICML 2018 Reinforcement Learning with Function-Valued Action Spaces for Partial Differential Equation Control ICML 2018 Variational PDEs for Acceleration on Manifolds and Application to Diffeomorphisms NeurIPS 2018 Adaptive Partial Differential Equation Learning for Visual Saliency Detection CVPR 2014 Reconstructing Gas Flows Using Light-Path Approximation CVPR 2013 Optimal Reinforcement Learning for Gaussian Systems NeurIPS 2011