An upcoming workshop in June 2017 will explore applications of probabilistic numerics.
A recent meeting at the Leibniz Centre for Computer Science highlights the ongoing significance of analytic nonparametric models for machine learning.
Max Planck Society funds focussed research program on uncertainty in computation
Our research group will be funded as an independent entity within the Max Planck Institute for Intelligent Systems from December 2016. An official set-up phase starts in September 2016. This also brings an end to our beloved status as an Emmy Noether group.
PhD student will present her work on optimization for deep learning
Maren Mahsereci's paper on probabilistic line searches for stochastic optimization has been selected for a full oral presentation at the flagship conference of machine learning.
PhD student will present his work on probabilistic solvers for differential equations
Michael Schober' paper on probabilistic solvers for ordinary differential equations has been selected for a full oral presentation at the flagship conference of machine learning.