DINER

Source code of "A structured dictionary perspective on implicit neural representations"

[ICLR 2025] Wavelet Diffusion Neural Operator (WDNO) uses diffusion models on wavelet space for generative PDE simulation and control.

Code for the paper "Generative AI for fast and accurate statistical computation of fluids"

[ICLR 2025] PIG: Physics-Informed Gaussians as Adaptive Parametric Mesh Representations

[AAAI 2023] Physics-Informed Cell Representations

Official repo for separable operator networks -- extreme-scale operator learning for parametric PDEs.

Source code for the paper "Data-driven reduced-order models via regularised Operator Inference for a single-injector combustion process" by S. A. McQuarrie, C. Huang, and K. E. Willcox.

Repository of GridMix (ICLR 2025)

Graph-based operator learning in arbitrary geometries

Benchmarking of diffusion models for global field reconstruction from sparse observations

Filtering In Neural Implicit Functions

Code for "Beyond Regular Grids: Fourier-Based Neural Operators on Arbitrary Domains"

The official repository of Coordinate-Aware Modulation for Neural Fields.

[NeurIPS 2024] Physics-Informed Regularization for Domain-Agnostic Dynamical System Modeling

Separabale Physics-Informed DeepONets in JAX

SketchINR: A First Look into Sketches as Implicit Neural Representations [CVPR 2024]

GEPS: Boosting Generalization in Parametric PDE Neural Solvers through Adaptive Conditioning

Multi-component and Multi-layer Neural Network (MMNN)

A INR method for High-Fidelity Flow Field Reconstruction