Supplementary code for the NeurIPS 2020 paper "Matern Gaussian processes on Riemannian manifolds".
☆30Feb 3, 2025Updated last year
Alternatives and similar repositories for Riemannian-Gaussian-Processes
Users that are interested in Riemannian-Gaussian-Processes are comparing it to the libraries listed below
Sorting:
- Supplementary code for the AISTATS 2021 paper "Matern Gaussian Processes on Graphs".☆55Nov 17, 2025Updated 3 months ago
- This repository contains the code for the paper "Geometry-aware Bayesian Optimization in Roboticsusing Riemannian Matérn Kernels" (CoRL'2…☆21Aug 3, 2023Updated 2 years ago
- A Julia implementation of sparse Gaussian processes via path-wise doubly stochastic variational inference.☆33Aug 27, 2020Updated 5 years ago
- ☆10Jun 3, 2019Updated 6 years ago
- A library implementing the kernels for and experiments using extrinsic gauge equivariant vector field Gaussian Processes☆26Oct 28, 2021Updated 4 years ago
- ☆12Sep 26, 2019Updated 6 years ago
- PyTorch implementation of the Covariate-GPLVM☆25Mar 1, 2020Updated 6 years ago
- Implementation of "Structured Multi-Hashing for Model Compression" (CVPR 2020)☆12Feb 18, 2021Updated 5 years ago
- ☆13Jun 13, 2023Updated 2 years ago
- LASA Handwriting dataset for Python. https://www.epfl.ch/labs/lasa/code-datasets/☆17Feb 4, 2022Updated 4 years ago
- Repository containing the code for Implicit Manifold Gaussian Process.☆16Aug 8, 2024Updated last year
- learning task trajectories using Probabilistic Movement Primitives☆13Aug 11, 2017Updated 8 years ago
- Geometric kernels on manifolds, meshes and graphs☆293Feb 22, 2026Updated last week
- Stable dynamical system (motion policy) learning using Euclideanizing flows☆16Nov 13, 2020Updated 5 years ago
- [NeurIPS 2025 Spotlight] "Stochastic Process Learning via Operator Flow Matching"☆18Nov 4, 2025Updated 4 months ago
- Light-weighted code for Orthogonal Additive Gaussian Processes☆45Jul 30, 2024Updated last year
- This is a simple package for computing forward kinematics in a symbolic way.☆19Dec 19, 2024Updated last year
- [ECCV 2022] SuperTickets: Drawing Task-Agnostic Lottery Tickets from Supernets via Jointly Architecture Searching and Parameter Pruning☆20Jul 7, 2022Updated 3 years ago
- Code for efficiently sampling functions from GP(flow) posteriors☆74Nov 13, 2020Updated 5 years ago
- [WACV21] Code for our paper: Samuel, Atzmon and Chechik, "From Generalized zero-shot learning to long-tail with class descriptors"☆27Apr 6, 2021Updated 4 years ago
- Python model for constrained GP☆26Apr 14, 2021Updated 4 years ago
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Nov 2, 2021Updated 4 years ago
- Non-Parametric Calibration for Classification (AISTATS 2020)☆18Feb 3, 2022Updated 4 years ago
- PyTorch-based library for various kinds of representational-similarity analysis☆24Jun 7, 2024Updated last year
- A collection of Gaussian process models☆30Aug 17, 2017Updated 8 years ago
- ☆31Sep 17, 2024Updated last year
- ☆27Feb 20, 2023Updated 3 years ago
- Python and MATLAB code for Stein Variational sampling methods☆27May 25, 2019Updated 6 years ago
- Practical tools for quantifying how well a sample approximates a target distribution☆28Aug 5, 2020Updated 5 years ago
- Python package 'dgpsi' for deep and linked Gaussian process emulations☆28Dec 2, 2025Updated 3 months ago
- Library for Bayesian Quadrature☆32Apr 2, 2019Updated 6 years ago
- Streaming sparse Gaussian process approximations☆69Oct 5, 2022Updated 3 years ago
- Coupling rejection strategy against adversarial attacks (CVPR 2022)☆29Mar 2, 2022Updated 4 years ago
- Multi-robot local motion planning using dynamic optimization fabrics.☆37Jul 30, 2024Updated last year
- Infinite-horizon Gaussian processes☆33Sep 28, 2020Updated 5 years ago
- State-space deep Gaussian processes in Python and Matlab☆30Jun 12, 2022Updated 3 years ago
- Kinematic and dynamic models of continuum and articulated soft robots.☆15Nov 22, 2025Updated 3 months ago
- ExaDEM is a HPC software solution in the field of computational simulations. ExaDEM is built on top of exaNBody platform.☆17Updated this week
- In this paper, we show that the performance of a learnt generative model is closely related to the model's ability to accurately represen…☆41Mar 26, 2021Updated 4 years ago