Jiacheng-Zhu-AIML / WGPOTLinks
The Wasserstein Distance and Optimal Transport Map of Gaussian Processes
☆52Updated 4 years ago
Alternatives and similar repositories for WGPOT
Users that are interested in WGPOT are comparing it to the libraries listed below
Sorting:
- Second-Order Neural ODE Optimizer, NeurIPS 2021 spotlight☆52Updated 3 years ago
- Python notebooks for Optimal Transport between Gaussian Mixture Models☆45Updated 4 years ago
- ☆40Updated last year
- Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'☆26Updated 4 years ago
- Functional Optimal Transport: Map Estimation and Domain Adaptation for Functional data☆26Updated 3 years ago
- ☆20Updated last year
- ☆13Updated last year
- Supplementary code for the NeurIPS 2020 paper "Matern Gaussian processes on Riemannian manifolds".☆29Updated 4 months ago
- Code for "Function Space Particle Optimization for Bayesian Neural Networks"☆18Updated 2 years ago
- Code for A General Recipe for Likelihood-free Bayesian Optimization, ICML 2022☆44Updated 2 years ago
- This repository contains the source code to perform Geometry-aware Bayesian Optimization (GaBO) on Riemannian manifolds.☆52Updated 3 years ago
- PyTorch implementation of Stein Variational Gradient Descent☆45Updated last year
- [ICLR 2022] Path integral sampler☆46Updated last year
- Demos for the paper Generalized Variational Inference (Knoblauch, Jewson & Damoulas, 2019)☆20Updated 6 years ago
- Supporing code for the paper "Bayesian Model Selection, the Marginal Likelihood, and Generalization".☆35Updated 2 years ago
- Bayesian active learning with EPIG data acquisition☆32Updated last month
- General API for Deep Bayesian Variational Inference by Backpropagation. The repository has been designed to work with Transformers like a…☆42Updated 4 years ago
- Variational Auto-Regressive Gaussian Processes for Continual Learning☆21Updated 3 years ago
- ☆15Updated 2 years ago
- ☆32Updated 2 years ago
- [ICLR 2022] "Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How" by Yuning You, Yue Cao, Tianl…☆14Updated 2 years ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆87Updated 2 years ago
- Code to reproduce the experimental results from the paper "Active Invariant Causal Prediction: Experiment Selection Through Stability", b…☆20Updated last year
- Official code for the ICLR 2021 paper Neural ODE Processes☆72Updated 3 years ago
- Code repository of the paper "CITRIS: Causal Identifiability from Temporal Intervened Sequences" and "iCITRIS: Causal Representation Lear…☆52Updated last year
- Experiments from the paper "On Second Order Behaviour in Augmented Neural ODEs"☆58Updated 8 months ago
- Code repo for "Kernel Interpolation for Scalable Online Gaussian Processes"☆62Updated 4 years ago
- Neural Laplace: Differentiable Laplace Reconstructions for modelling any time observation with O(1) complexity.☆77Updated last month
- Methods and experiments for assumed density SDE approximations☆12Updated 3 years ago
- Repo for our paper "Repulsive deep ensembles are Bayesian"☆19Updated 3 years ago