georgosgeorgos / trajectory-alignment-diffusion
Code for "Aligning Optimization Trajectories with Diffusion Models for Constrained Design Generation" @ NeurIPS 2023
☆9Updated last year
Related projects ⓘ
Alternatives and complementary repositories for trajectory-alignment-diffusion
- ChebLieNet, a spectral graph neural network turned equivariant by Riemannian geometry on Lie groups.☆15Updated 3 months ago
- Official implementation of Deep Momentum Schrödinger Bridge☆20Updated last year
- ☆16Updated last year
- Equivariant Mesh Attention Networks☆21Updated 2 years ago
- Model hub for all your DiffeqML needs. Pretrained weights, modules, and basic inference infrastructure☆23Updated last year
- ☆15Updated 2 years ago
- [ICLR23] First deep learning-based surrogate model that jointly learns the evolution model and optimizes computational cost via remeshing☆37Updated 9 months ago
- Free-form flows are a generative model training a pair of neural networks via maximum likelihood☆36Updated 5 months ago
- Discovering Conservation Laws using Optimal Transport and Manifold Learning☆16Updated last year
- Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"☆48Updated last year
- [ICLR 2021] Group Equivariant Generative Adversarial Networks.☆13Updated 3 years ago
- code for "Neural Conservation Laws A Divergence-Free Perspective".☆35Updated last year
- Code for "Generalised Implicit Neural Representations" (NeurIPS 2022).☆67Updated last year
- ☆11Updated 10 months ago
- Perceiver (transformer variant) implemented in JAX and Flax☆11Updated 3 years ago
- Code repository of the paper "Clifford-Steerable Convolutional Neural Networks"☆40Updated 3 months ago
- Code for 'Periodic Activation Functions Induce Stationarity' (NeurIPS 2021)☆18Updated 3 years ago
- Reference implementation for "Group Equivariant Subsampling"☆16Updated 2 years ago
- A set of tests for evaluating large-scale algorithms for Wasserstein-1 transport computation (NeurIPS'22).☆20Updated 2 months ago
- Implementation of Action Matching for the Schrödinger equation☆22Updated last year
- ☆21Updated 2 years ago
- Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)☆29Updated 2 years ago
- PyTorch implementation of "Kernel Neural Optimal Transport" (ICLR 2023)☆23Updated last year
- Path integral based convolution and pooling☆28Updated last year
- ICML23 "Latent Traversals in Generative Models as Potential Flows"☆26Updated last year
- ☆16Updated last year
- Fork of the E2CNN library that adds support for equivariant partial differential operators☆17Updated 2 years ago
- Official repository of Implicit Neural Convolutional Kernels for Steerable CNNs, Zhdanov et al.☆26Updated 8 months ago
- ☆16Updated last year
- Implicit^2: Implicit model for implicit neural representations☆27Updated 2 years ago