gd-vae / gd-vaeLinks
Geometric Dynamic Variational Autoencoders (GD-VAEs) for learning embedding maps for nonlinear dynamics into general latent spaces. This includes methods for standard latent spaces or manifold latent spaces with specified geometry and topology. The manifold latent spaces can be based on analytic expressions or general point cloud representations…
☆33Updated 2 weeks ago
Alternatives and similar repositories for gd-vae
Users that are interested in gd-vae are comparing it to the libraries listed below
Sorting:
- A library implementing the kernels for and experiments using extrinsic gauge equivariant vector field Gaussian Processes☆25Updated 3 years ago
- Supplementary code for the paper "Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces"☆43Updated last year
- Nonparametric Differential Equation Modeling☆54Updated last year
- ☆111Updated 4 years ago
- Deep Generalized Schrödinger Bridge, NeurIPS 2022 Oral☆52Updated 2 years ago
- Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations wi…☆69Updated last year
- Second-Order Neural ODE Optimizer, NeurIPS 2021 spotlight☆55Updated 3 years ago
- Refining continuous-in-depth neural networks☆42Updated 3 years ago
- Neural Laplace: Differentiable Laplace Reconstructions for modelling any time observation with O(1) complexity.☆81Updated 5 months ago
- [ICML 2022] Learning Efficient and Robust Ordinary Differential \\ Equations via Invertible Neural Networks☆10Updated 2 years ago
- Experiments from the paper "On Second Order Behaviour in Augmented Neural ODEs"☆60Updated last year
- Supplementary code for the NeurIPS 2020 paper "Matern Gaussian processes on Riemannian manifolds".☆29Updated 8 months ago
- Modular Gaussian Processes☆15Updated 3 years ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆88Updated 2 years ago
- ☆30Updated 7 years ago
- Code for Lie Symmetries SSL paper☆24Updated last year
- Deterministic particle dynamics for simulating Fokker-Planck probability flows☆26Updated 2 years ago
- Riemannian Optimization Using JAX☆52Updated last year
- Library for Bayesian Quadrature☆32Updated 6 years ago
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- Implementation of the work Variational multiple shooting for Bayesian ODEs with Gaussian processes☆13Updated 3 years ago
- code for "Neural Conservation Laws A Divergence-Free Perspective".☆40Updated 2 years ago
- Official codebase for our NeurIPS paper, Symmetry-Informed Governing Equation Discovery.☆11Updated 10 months ago
- Code for efficiently sampling functions from GP(flow) posteriors☆73Updated 4 years ago
- Implementation of Action Matching for the Schrödinger equation☆24Updated 2 years ago
- ☆35Updated 3 years ago
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆121Updated 2 years ago
- Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"☆171Updated 3 years ago
- ☆22Updated 11 months ago
- ☆28Updated 2 years ago