Mojmir Mutny

Mojmir Mutny

I am a postdoctoral researcher at ETH Zurich working at the interesection of Machine Learning and Optimal Experiment Design – addressing the search for the most informative experiments. I work in the research group of Andreas Krause. I am passionate about laboratory automation and protein design, and AI4Science revolution.

Open-source code packages

stpy Image

Package 2: stpy

This code implements a general purpose

sensepy Image

Package 3: sensepy

This repository includes the code used in paper: Mojmir Mutny & Andreas Krause, “Sensing Cox Processes via Posterior Sampling and Positive Bases”, AISTATS 2022

QFF Image

Package 4: QFF

This repository includes the code used in paper: Mojmir Mutny & Andreas Krause, “Efficient High Dimensional Bayesian Optimization with Additivity and Quadrature Fourier Features”, NIPS 2018 It provides an efficient finite basis approximation for RBF and Matern kernels in low dimensions.