imbirik / LieStationaryKernels
Supplementary code for the paper "Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces"
☆42Updated last year
Alternatives and similar repositories for LieStationaryKernels:
Users that are interested in LieStationaryKernels are comparing it to the libraries listed below
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- A library implementing the kernels for and experiments using extrinsic gauge equivariant vector field Gaussian Processes☆25Updated 3 years ago
- Code for 'Periodic Activation Functions Induce Stationarity' (NeurIPS 2021)☆18Updated 3 years ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆87Updated 2 years ago
- PyTorch block-diagonal ODE CUDA solver, designed for gradient-based optimization☆15Updated 5 years ago
- Turning SymPy expressions into JAX functions☆45Updated 4 years ago
- Implementation of Action Matching for the Schrödinger equation☆24Updated last year
- Deterministic particle dynamics for simulating Fokker-Planck probability flows☆24Updated 2 years ago
- Riemannian Optimization Using JAX☆49Updated last year
- Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling☆36Updated 3 years ago
- ☆19Updated 2 years ago
- A collection of graph neural networks implementations in JAX☆32Updated last year
- ☆15Updated 4 years ago
- [ICML 2022] Learning Efficient and Robust Ordinary Differential \\ Equations via Invertible Neural Networks☆10Updated 2 years ago
- Pytorch implementation of SuperPolyak subgradient method.☆43Updated 2 years ago
- Course Website☆9Updated 3 years ago
- Source code for my PhD thesis: Backpropagation Beyond the Gradient☆20Updated 2 years ago
- Modular Gaussian Processes☆15Updated 3 years ago
- Neural Fixed-Point Acceleration for Convex Optimization☆29Updated 2 years ago
- Probabilistic solvers for differential equations in JAX. Adaptive ODE solvers with calibration, state-space model factorisations, and cus…☆46Updated last month
- ☆19Updated 3 years ago
- Differentiable Euler Characteristic Transform☆17Updated 10 months ago
- JAX exponential map normalising flows on sphere☆17Updated 4 years ago
- code for "Neural Conservation Laws A Divergence-Free Perspective".☆38Updated 2 years ago
- Code for paper https://arxiv.org/abs/2306.07961☆53Updated 10 months ago
- [ICLR 2022] Path integral sampler☆46Updated last year
- ☆34Updated 3 years ago
- Library for normalizing flows and neural flows.☆24Updated 2 years ago
- Supplementary code for the NeurIPS 2020 paper "Matern Gaussian processes on Riemannian manifolds".☆28Updated 3 months ago
- Fine-grained, dynamic control of neural network topology in JAX.☆21Updated last year