AI4Science-WestlakeU / diffphycon
[NeurIPS2024] DiffPhyCon uses generative models to control complex physical systems
☆34Updated 2 months ago
Alternatives and similar repositories for diffphycon:
Users that are interested in diffphycon are comparing it to the libraries listed below
- [ICLR24] CinDM uses compositional generative models to design boundaries and initial states significantly more complex than the ones seen…☆32Updated 11 months ago
- [ICLR2025] Wavelet Diffusion Neural Operator (WDNO) uses diffusion models on wavelet space for generative PDE simulation and control.☆20Updated this week
- [ICLR 2025] CL-DiffPhyCon achieves closed-loop diffusion control of physical systems with significant speedup of sampling efficiency☆20Updated this week
- Implementation of Physics-Informed Diffusion Models☆71Updated 2 months ago
- This repo is the code for T-SCEND, a novel framework that significantly improves diffusion model’s reasoning capabilities with better ene…☆23Updated 2 months ago
- [ICLR24] A boundary-embedded neural operator that incorporates complex boundary shape and inhomogeneous boundary values☆26Updated 4 months ago
- ☆20Updated 11 months ago
- The official implementation of the paper "On the Guidance of Flow Matching"☆15Updated 2 months ago
- LE-PDE accelerates PDEs' forward simulation and inverse optimization via latent global evolution, achieving significant speedup with SOTA…☆24Updated last year
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆54Updated 10 months ago
- ICON for in-context operator learning☆50Updated 2 months ago
- A Library for Advanced Neural PDE Solvers.☆94Updated this week
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆49Updated 10 months ago
- Official PyTorch implementation of the Vectorized Conditional Neural Field.☆12Updated 8 months ago
- [ICLR23] First deep learning-based surrogate model that jointly learns the evolution model and optimizes computational cost via remeshing☆39Updated last year
- Generalizing to New Physical Systems via Context-Informed Dynamics Model☆24Updated 11 months ago
- Official codebase for "Score-based Diffusion Models in Function Space"☆11Updated 3 months ago
- Neural Stochastic PDEs: resolution-invariant modelling of continuous spatiotemporal dynamics☆51Updated 2 years ago
- This gym provides implementations of various PDEs for easy testing and comparison of data-driven and classical PDE control algorithms.☆26Updated last week
- Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting☆45Updated last year
- [AAAI24] LE-PDE-UQ endows deep learning-based surrogate models with robust and efficient uncertainty quantification capabilities for both…☆16Updated last year
- About Code Release for "Solving High-Dimensional PDEs with Latent Spectral Models" (ICML 2023), https://arxiv.org/abs/2301.12664☆69Updated 2 weeks ago
- [NeurIPS 2022] Minimizing L_inf Physics-Informed Loss for PINN with adversarial training☆39Updated 2 years ago
- Time- and space-continuous neural PDE forecaster based on INRs and ODEs☆60Updated last year
- [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.☆32Updated 10 months ago
- AL4PDE: A Benchmark for Active Learning for Neural PDE Solvers☆21Updated last month
- PROSE: Predicting Multiple Operators and Symbolic Expressions☆23Updated 3 weeks ago
- Code for orthogonal neural operator☆15Updated last year
- ☆32Updated 3 weeks ago
- ☆50Updated 2 years ago