Co-occurring keywords · papers mentioning both
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