imbirik / LieStationaryKernelsLinks
Supplementary code for the paper "Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces"
☆43Updated last year
Alternatives and similar repositories for LieStationaryKernels
Users that are interested in LieStationaryKernels 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
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- PyTorch block-diagonal ODE CUDA solver, designed for gradient-based optimization☆16Updated 5 years ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆88Updated 2 years ago
- Riemannian Optimization Using JAX☆53Updated last year
- Deterministic particle dynamics for simulating Fokker-Planck probability flows☆26Updated 2 years ago
- Turning SymPy expressions into JAX functions☆45Updated 4 years ago
- Second-Order Neural ODE Optimizer, NeurIPS 2021 spotlight☆55Updated 3 years ago
- Geometric Dynamic Variational Autoencoders (GD-VAEs) for learning embedding maps for nonlinear dynamics into general latent spaces. This …☆33Updated 2 weeks ago
- ☆31Updated last year
- Pytorch implementation of SuperPolyak subgradient method.☆43Updated 2 years ago
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆121Updated 2 years ago
- ☆20Updated 2 years ago
- Code for 'Periodic Activation Functions Induce Stationarity' (NeurIPS 2021)☆19Updated 3 years ago
- Bayesian algorithm execution (BAX)☆50Updated 4 years ago
- Turning SymPy expressions into PyTorch modules.☆151Updated 2 years ago
- A generic interface for linear algebra backends☆73Updated 7 months ago
- Probabilistic Solution of Differential Equations☆13Updated 3 years ago
- ☆15Updated 4 years ago
- Library for normalizing flows and neural flows.☆25Updated 3 years ago
- Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations wi…☆69Updated last year
- Supplementary code for the NeurIPS 2020 paper "Matern Gaussian processes on Riemannian manifolds".☆29Updated 8 months ago
- [NeurIPS'19] Deep Equilibrium Models Jax Implementation☆40Updated 4 years ago
- Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling☆36Updated 3 years ago
- Flow Annealed Importance Sampling Bootstrap (FAB) with JAX.☆12Updated last year
- Normalizing Flows using JAX☆84Updated last year
- Probabilistic solvers for differential equations in JAX. Adaptive ODE solvers with calibration, state-space model factorisations, and cus…☆53Updated 3 weeks ago
- Jax SSM Library☆49Updated 2 years ago
- Code for efficiently sampling functions from GP(flow) posteriors☆73Updated 4 years ago
- Wraps PyTorch code in a JIT-compatible way for JAX. Supports automatically defining gradients for reverse-mode AutoDiff.☆58Updated 2 months ago