[ICLR 2025] Wavelet Diffusion Neural Operator (WDNO) uses diffusion models on wavelet space for generative PDE simulation and control.
☆56Sep 10, 2025Updated 5 months ago
Alternatives and similar repositories for wdno
Users that are interested in wdno are comparing it to the libraries listed below
Sorting:
- This repo is the code for T-SCEND, a novel framework that significantly improves diffusion model’s reasoning capabilities with better ene…☆26Oct 19, 2025Updated 4 months ago
- [NeurIPS2024] DiffPhyCon uses generative models to control complex physical systems☆47Nov 4, 2025Updated 4 months ago
- [ICLR24] CinDM uses compositional generative models to design boundaries and initial states significantly more complex than the ones seen…☆40Oct 3, 2025Updated 5 months ago
- [ICLR 2025] CL-DiffPhyCon achieves closed-loop diffusion control of physical systems with significant speedup of sampling efficiency☆28Oct 19, 2025Updated 4 months ago
- [ICLR24] A boundary-embedded neural operator that incorporates complex boundary shape and inhomogeneous boundary values☆30Dec 5, 2024Updated last year
- [ICML 2025] The official implementation of the paper "On the Guidance of Flow Matching"☆84Sep 16, 2025Updated 5 months ago
- DON-LSTM: Multi-Resolution Learning with DeepONets and Long-Short Term Memory Neural Networks☆10Sep 4, 2025Updated 6 months ago
- Code for reproducing the experiments in the paper "On Conditional Diffusion Models for PDE Simulations".☆26Nov 6, 2024Updated last year
- ☆19Apr 5, 2024Updated last year
- ☆13Dec 5, 2022Updated 3 years ago
- [ICLR24] Better Neural PDE Solvers Through Data-Free Mesh Movers☆17Mar 20, 2024Updated last year
- Wavelet Neural Operator for solving parametric partialdifferential equations in computational mechanics problems☆53Aug 19, 2025Updated 6 months ago
- ☆54Jul 21, 2025Updated 7 months ago
- ☆15Mar 3, 2023Updated 3 years ago
- Discovering Conservation Laws using Optimal Transport and Manifold Learning☆22Sep 23, 2023Updated 2 years ago
- Code for paper "Beyond Closure Models: Learning Chaotic Systems via Physics-Informed Neural Operators".☆14Dec 24, 2025Updated 2 months ago
- PyTorch implemention of the Position-induced Transformer for operator learning in partial differential equations☆25Jun 3, 2025Updated 9 months ago
- Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation☆109Dec 13, 2024Updated last year
- Implementation of Physics-Informed Diffusion Models (ICLR 2025)☆195Feb 1, 2026Updated last month
- ☆108Apr 3, 2025Updated 11 months ago
- This repository contains the source code for the research presented in the paper "Exploring hidden flow structures from sparse data throu…☆12Dec 4, 2023Updated 2 years ago
- ☆91Sep 2, 2024Updated last year
- Codomain attention neural operator for single to multi-physics PDE adaptation.☆76Jun 5, 2025Updated 9 months ago
- Physics Informed Fourier Neural Operator☆30Nov 21, 2024Updated last year
- Benchmarking of diffusion models for global field reconstruction from sparse observations☆31Dec 4, 2024Updated last year
- ☆15Nov 20, 2023Updated 2 years ago
- Data-guided physics-informed neural networks☆16Jul 16, 2024Updated last year
- ☆88Jul 18, 2023Updated 2 years ago
- About Code Release for "Solving High-Dimensional PDEs with Latent Spectral Models" (ICML 2023), https://arxiv.org/abs/2301.12664☆80Apr 10, 2025Updated 10 months ago
- PDE-Transformer is a neural network architecture designed to efficiently process and predict the evolution of physical systems described …☆65Oct 29, 2025Updated 4 months ago
- ☆13Jan 23, 2024Updated 2 years ago
- This repository is for the master thesis project: "DiffFluids: A Diffusion-based Generative Model for Fluid Simulations"☆13Oct 2, 2023Updated 2 years ago
- LE-PDE accelerates PDEs' forward simulation and inverse optimization via latent global evolution, achieving significant speedup with SOTA…☆29Jan 30, 2024Updated 2 years ago
- ICON for in-context operator learning☆61Feb 21, 2025Updated last year
- ☆37Jul 9, 2025Updated 7 months ago
- [ICLR 2025] Neural Operator-Assisted Computational Fluid Dynamics in PyTorch☆76Nov 21, 2025Updated 3 months ago
- Koopman Kernels for Learning Dynamical Systems from Trajectory Data☆33Nov 23, 2023Updated 2 years ago
- Code to run 3D simulations of the elastic wave equation and predict outputs with 3D neural operators☆41Jun 20, 2025Updated 8 months ago
- [NeurIPS 23] Official Code for "Learning Efficient Surrogate Dynamic Models with Graph Spline Networks"☆16Jul 19, 2024Updated last year