mishapadidar / GP-Derivatives-Variational-Inference
☆13Updated 2 years ago
Related projects: ⓘ
- This repository contains the source code to perform Geometry-aware Bayesian Optimization (GaBO) on Riemannian manifolds.☆49Updated 2 years ago
- This repository contains the code for the paper "Geometry-aware Bayesian Optimization in Roboticsusing Riemannian Matérn Kernels" (CoRL'2…☆19Updated last year
- Code repo for "Kernel Interpolation for Scalable Online Gaussian Processes"☆54Updated 3 years ago
- Streaming sparse Gaussian process approximations☆62Updated last year
- Heterogeneous Multi-output Gaussian Processes☆52Updated 4 years ago
- Exploring how to to deal with uncertain inputs with gaussian process regression models.☆26Updated 3 years ago
- Nonparametric Differential Equation Modeling☆50Updated 6 months ago
- Mixtures of Gaussian Process Experts in GPflow/TensorFlow☆11Updated 2 years ago
- A Python package to learn the Koopman operator.☆42Updated this week
- Offline Contextual Bayesian Optimization☆12Updated last year
- Continual Gaussian Processes☆30Updated last year
- ☆14Updated this week
- ☆14Updated 5 years ago
- This repository contains the code for the paper "Local policy search with Bayesian optimization".☆13Updated last year
- ☆41Updated 3 years ago
- ☆14Updated 2 years ago
- Companion code for RSS 2020 paper: "Active Preference-Based Gaussian Process Regression for Reward Learning"☆39Updated 5 months ago
- Max-value Entropy Search for Efficient Bayesian Optimization☆67Updated 2 years ago
- GPz 2.0: Heteroscedastic Gaussian processes for uncertain and incomplete data☆45Updated 3 years ago
- This is the code repository for the DuSt-MPC paper, published at Robotics: Science and Systems (RSS) 2021.☆21Updated 3 years ago
- Neural Networks with Physics-Informed Architectures and Constraints for Dynamical Systems Modeling☆39Updated 2 years ago
- Code for efficiently sampling functions from GP(flow) posteriors☆65Updated 3 years ago
- Release code for ICML2020 Knowing The What But Not The Where in Bayesian Optimization☆15Updated last year
- Scalable Gaussian Process Regression with Derivatives☆37Updated 5 years ago
- This is the companion code for the paper Noisy-Input Entropy Search for Efficient Robust Bayesian Optimization by Lukas P. Fröhlich et al…☆11Updated 3 years ago
- The Wasserstein Distance and Optimal Transport Map of Gaussian Processes☆46Updated 4 years ago
- NeurIPS 2019 Paper☆11Updated 4 years ago
- Python model for constrained GP☆23Updated 3 years ago
- Example code to speed up GP inference with gradients for high-dimensional inputs.☆14Updated 3 years ago
- Extensible Tensorflow library for differentiable particle filtering. ICML 2021.☆40Updated last year