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partial differential equation

323 papers

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Also known as

PDE

Co-occurring keywords · papers mentioning both

physics-informed neural network (66) neural operator (47) neural network (42) operator learning (33) physics-informed learning (20) fourier neural operator (19) graph neural network (19) neural network optimization (18) inverse problem (16) physics simulation (14)

Papers

SINGER: Stochastic Network Graph Evolving Operator for High Dimensional PDEs ICLR 2025 Solving Differential Equations with Constrained Learning ICLR 2025 Statistical Advantages of Perturbing Cosine Router in Mixture of Experts ICLR 2025 Symbolic Neural Ordinary Differential Equations AAAI 2025 Text2PDE: Latent Diffusion Models for Accessible Physics Simulation ICLR 2025 Understanding Expert Structures on Minimax Parameter Estimation in Contaminated Mixture of Experts AISTATS 2025 Wavelet Diffusion Neural Operator ICLR 2025 Accelerating PDE Data Generation via Differential Operator Action in Solution Space ICML 2024 Adversarial Adaptive Sampling: Unify PINN and Optimal Transport for the Approximation of PDEs ICLR 2024 Alias-Free Mamba Neural Operator NeurIPS 2024 Amortized Fourier Neural Operators NeurIPS 2024 An Interpretable Approach to the Solutions of High-Dimensional Partial Differential Equations AAAI 2024 An operator preconditioning perspective on training in physics-informed machine learning ICLR 2024 A PDE-based Explanation of Extreme Numerical Sensitivities and Edge of Stability in Training Neural Networks JMLR 2024 APEBench: A Benchmark for Autoregressive Neural Emulators of PDEs NeurIPS 2024 AROMA: Preserving Spatial Structure for Latent PDE Modeling with Local Neural Fields NeurIPS 2024 Better Neural PDE Solvers Through Data-Free Mesh Movers ICLR 2024 Boundary constrained Gaussian processes for robust physics-informed machine learning of linear partial differential equations JMLR 2024 Causality-enhanced Discreted Physics-informed Neural Networks for Predicting Evolutionary Equations IJCAI 2024 CoLoRA: Continuous low-rank adaptation for reduced implicit neural modeling of parameterized partial differential equations ICML 2024 Controlgym: Large-scale control environments for benchmarking reinforcement learning algorithms L4DC 2024 ControlSynth Neural ODEs: Modeling Dynamical Systems with Guaranteed Convergence NeurIPS 2024 Data-Efficient Operator Learning via Unsupervised Pretraining and In-Context Learning NeurIPS 2024 DATS: Difficulty-Aware Task Sampler for Meta-Learning Physics-Informed Neural Networks ICLR 2024 Deep Backward and Galerkin Methods for the Finite State Master Equation JMLR 2024