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.
☆26Updated 2 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:
- [ICLR 2025] CL-DiffPhyCon achieves closed-loop diffusion control of physical systems with significant speedup of sampling efficiency☆27Updated 2 months ago
- [NeurIPS2024] DiffPhyCon uses generative models to control complex physical systems☆45Updated last month
- [ICML 2025] The official implementation of the paper "On the Guidance of Flow Matching"☆71Updated 3 months ago
- [ICLR24] CinDM uses compositional generative models to design boundaries and initial states significantly more complex than the ones seen…☆39Updated 2 months ago
- [ICML 2025] M2PDE: Compositional Generative Multiphysics and Multi-component PDE Simulation.☆22Updated 7 months ago
- ☆18Updated 2 years ago
- Code for the paper Iterated Denoising Energy Matching for Sampling from Boltzmann Densities.☆67Updated 8 months ago
- ICML2024: Equivariant Graph Neural Operator for Modeling 3D Dynamics☆60Updated last year
- [ICLR 2025] Wavelet Diffusion Neural Operator (WDNO) uses diffusion models on wavelet space for generative PDE simulation and control.☆53Updated 3 months ago
- Graph generative pre-trained transformer☆19Updated 6 months ago
- Code for the tutorial/review paper for RL-based-fine-tuniing. In this code, we especially focus on the design of biological sequences li…☆156Updated last year
- code for "Riemannian Flow Matching on General Geometries".☆278Updated last year
- Denoising Hamiltonian Network for Physical Reasoning☆45Updated 9 months ago
- [ICLR24] Better Neural PDE Solvers Through Data-Free Mesh Movers☆17Updated last year
- Sort out the researchers in the field of AI for Science☆16Updated 2 years ago
- [ICLR24] A boundary-embedded neural operator that incorporates complex boundary shape and inhomogeneous boundary values☆29Updated last year
- [NeurIPS 2022] The implementation for the paper "Learning Physical Dynamics with Subequivariant Graph Neural Networks".☆39Updated 3 years ago
- Official codebase for Exact Energy-Guided Diffusion Sampling via Contrastive Energy Prediction☆35Updated 2 years ago
- [NeurIPS 2025 Spotlight] "Stochastic Process Learning via Operator Flow Matching"☆15Updated last month
- Official implementation of Stochastic Taylor Derivative Estimator (STDE) NeurIPS2024☆124Updated last year
- Erwin: A Tree-based Hierarchical Transformer for Large-scale Physical Systems [ICML'25]☆109Updated 2 months ago
- Score-based generative models for compact manifolds☆117Updated last year
- [ICLR 2023 Spotlight] Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs☆267Updated 10 months ago
- CodePDE: An Inference Framework for LLM-driven PDE Solver Generation☆63Updated 3 months ago
- Code for “FlowMM Generating Materials with Riemannian Flow Matching” and "FlowLLM: Flow Matching for Material Generation with Large Langu…☆172Updated last year
- Flow Annealed Importance Sampling Bootstrap (FAB). ICLR 2023.☆66Updated last year
- Repo to the paper "Message Passing Neural PDE Solvers"☆140Updated last year
- Official implementation of Diffusion Graph Networks (DGNs)☆76Updated 9 months ago
- [NeurIPS 2023] Reward-Directed Conditional Diffusion: Provable Distribution Estimation and Reward Improvement☆18Updated last year
- code for "Generalized Schrödinger Bridge Matching" (ICLR 2024).☆84Updated last year