AI4Science-WestlakeU / t_scendLinks
This repo is the code for T-SCEND, a novel framework that significantly improves diffusion model’s reasoning capabilities with better energy-based training and scaling up test-time computation.
☆23Updated 3 months ago
Alternatives and similar repositories for t_scend
Users that are interested in t_scend are comparing it to the libraries listed below
Sorting:
- [ICML 2025] The official implementation of the paper "On the Guidance of Flow Matching"☆17Updated 2 weeks ago
- [ICLR 2025] CL-DiffPhyCon achieves closed-loop diffusion control of physical systems with significant speedup of sampling efficiency☆23Updated last month
- [ICLR24] CinDM uses compositional generative models to design boundaries and initial states significantly more complex than the ones seen…☆32Updated last year
- [NeurIPS2024] DiffPhyCon uses generative models to control complex physical systems☆41Updated 3 months ago
- [ICML 2025] M2PDE: Compositional Generative Multiphysics and Multi-component PDE Simulation.☆17Updated 3 weeks ago
- [ICLR2025] Wavelet Diffusion Neural Operator (WDNO) uses diffusion models on wavelet space for generative PDE simulation and control.☆34Updated last month
- ICML2024: Equivariant Graph Neural Operator for Modeling 3D Dynamics☆56Updated last year
- Code for the paper Iterated Denoising Energy Matching for Sampling from Boltzmann Densities.☆55Updated last month
- [ICLR24] A boundary-embedded neural operator that incorporates complex boundary shape and inhomogeneous boundary values☆27Updated 6 months ago
- Denoising Hamiltonian Network for Physical Reasoning☆31Updated 2 months ago
- [ICLR24] Better Neural PDE Solvers Through Data-Free Mesh Movers☆17Updated last year
- [ICLR 2022] The implementation for the paper "Equivariant Graph Mechanics Networks with Constraints".☆60Updated 11 months ago
- Code for “FlowMM Generating Materials with Riemannian Flow Matching” and "FlowLLM: Flow Matching for Material Generation with Large Langu…☆133Updated 7 months ago
- [NeurIPS 2022] The implementation for the paper "Learning Physical Dynamics with Subequivariant Graph Neural Networks".☆35Updated 2 years ago
- [ICLR23] First deep learning-based surrogate model that jointly learns the evolution model and optimizes computational cost via remeshing☆40Updated last year
- Erwin: A Tree-based Hierarchical Transformer for Large-scale Physical Systems [ICML'25]☆53Updated 3 weeks ago
- LE-PDE accelerates PDEs' forward simulation and inverse optimization via latent global evolution, achieving significant speedup with SOTA…☆26Updated last year
- Code for the tutorial/review paper for RL-based-fine-tuniing. In this code, we especially focus on the design of biological sequences li…☆138Updated 8 months ago
- ☆35Updated 2 months ago
- Official codebase for Exact Energy-Guided Diffusion Sampling via Contrastive Energy Prediction☆30Updated last year
- E(3) Steerable Graph Neural Network☆118Updated 2 years ago
- This is the official implementation for Equivariant Enengy-guided SDE for Inverse Molecule Design (ICLR 2023)☆47Updated last year
- Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold☆55Updated 3 months ago
- Code for the paper Universal Physics Transformers☆113Updated 3 months ago
- [ICLR 2024 Spotlight] Official Implementation of "Enabling Efficient Equivariant Operations in the Fourier Basis via Gaunt Tensor Product…☆61Updated 7 months ago
- code for "Generalized Schrödinger Bridge Matching" (ICLR 2024).☆69Updated last year
- ☆32Updated 11 months ago
- code for "Riemannian Flow Matching on General Geometries".☆227Updated last year
- Code repository for Trajectory Flow Matching☆66Updated 7 months ago
- ☆28Updated last week