Jonathan Wenger
JonathanWenger
Postdoc at Columbia University
Languages
Repos
16
Stars
71
Forks
12
Top Language
Python
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Top Repositories
IterGP: Computation-Aware Gaussian Process Inference (NeurIPS 2022)
Non-Parametric Calibration for Classification (AISTATS 2020)
Probabilistic Linear Solvers for Machine Learning (NeurIPS 2020)
Probabilistic Numerics in Python.
My personal website.
Repositories
16Workshop on Advances in Approximate Bayesian Inference (AABI)
Non-Parametric Calibration for Classification (AISTATS 2020)
No description provided.
IterGP: Computation-Aware Gaussian Process Inference (NeurIPS 2022)
Probabilistic Numerics in Python.
No description provided.
My personal website.
Visualize/test models for visual representation by synthesizing images.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Code for Gaussian Score Matching Variational Inference
Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen
Probabilistic Linear Solvers for Machine Learning (NeurIPS 2020)
Talk given at MCM2021.
A highly efficient and modular implementation of Gaussian Processes in PyTorch
Collapsed Variational Bayes
No description provided.