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conftrace_

partial differential equation

323 papers

PDE

Papers

Self-Supervised Coarsening of Unstructured Grid with Automatic Differentiation ICML 2024 SHoP: A Deep Learning Framework for Solving High-Order Partial Differential Equations AAAI 2024 SineNet: Learning Temporal Dynamics in Time-Dependent Partial Differential Equations ICLR 2024 SNN-PDE: Learning Dynamic PDEs from Data with Simplicial Neural Networks AAAI 2024 Solving High Frequency and Multi-Scale PDEs with Gaussian Processes ICLR 2024 Space-Time Continuous PDE Forecasting using Equivariant Neural Fields NeurIPS 2024 Stochastic Taylor Derivative Estimator: Efficient amortization for arbitrary differential operators NeurIPS 2024 Structure-Preserving Physics-Informed Neural Networks with Energy or Lyapunov Structure IJCAI 2024 The Challenges of the Nonlinear Regime for Physics-Informed Neural Networks NeurIPS 2024 Towards Universal Mesh Movement Networks NeurIPS 2024 Uncertainty Quantification for Forward and Inverse Problems of PDEs via Latent Global Evolution AAAI 2024 Understanding the difficulty of solving Cauchy problems with PINNs L4DC 2024 A Stable and Scalable Method for Solving Initial Value PDEs with Neural Networks ICLR 2023 A Unified Framework for U-Net Design and Analysis NeurIPS 2023 Characteristic Neural Ordinary Differential Equation ICLR 2023 Clifford Neural Layers for PDE Modeling ICLR 2023 CoLA: Exploiting Compositional Structure for Automatic and Efficient Numerical Linear Algebra NeurIPS 2023 Competitive Physics Informed Networks ICLR 2023 Continuous PDE Dynamics Forecasting with Implicit Neural Representations ICLR 2023 Convolutional Neural Operators for robust and accurate learning of PDEs NeurIPS 2023 Coupled Multiwavelet Operator Learning for Coupled Differential Equations ICLR 2023 CROM: Continuous Reduced-Order Modeling of PDEs Using Implicit Neural Representations ICLR 2023 D-CIPHER: Discovery of Closed-form Partial Differential Equations NeurIPS 2023 Deep Equilibrium Based Neural Operators for Steady-State PDEs NeurIPS 2023 Disentangled Multi-Fidelity Deep Bayesian Active Learning ICML 2023