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Group News

ELLIS PhD Program: Call for Applications

  • 10 September 2020

The European Laboratory for Learning and Intelligent Systems offers an interdisciplinary PhD program. The ELLIS PhD program is a key element of the ELLIS initiative and its goal is to foster and educate the best talent in machine learning related research areas by pairing outstanding students with leading academic and industrial researchers in Europe. The program supports excellent PhDs across Europe by giving them access to leading research through boot camps, summer schools and workshops of the ELLIS programs. Every PhD student is supervised by one ELLIS fellow/scholar and one ELLIS member from a different country and conducts a 1 year exchange at the other location.

Top 40 under 40

  • 23 November 2018

This year Philipp Hennig is among the "Top 40 under 40" in the category Society and Science.

For the eleventh time the magazine Capital has chosen the "Young Elite - the Top 40 under 40". According to Capital, these are the most important talents that shape our country.

Philipp Hennig

Philipp Hennig receives prestigious ERC Starting Grant

  • 27 October 2017

Project Title PANAMA

Max Planck Research Group Leader Philipp Hennig will use the five-year funding with a total of 1.45 million Euros for his “Probabilistic Automated Numerical Analysis in Machine learning and Artificial intelligence (PANAMA)” project.

Linda Behringer Philipp Hennig

ICERM Seminar on Probabilistic Scientific Computing

  • 13 December 2016

An upcoming workshop in June 2017 will explore applications of probabilistic numerics.

Philipp Hennig

Dagstuhl Seminar on the Future of Learning with Kernels and Gaussian Processes

  • 03 December 2016

A recent meeting at the Leibniz Centre for Computer Science highlights the ongoing significance of analytic nonparametric models for machine learning.

Philipp Hennig

Summer School on Probabilistic Numerics in 2017

  • 01 November 2016

The Dobbiaco Summer School 2017 will be devoted to Probabilistic Numerics, and taught by Philipp Hennig & Mark Girolami.

Philipp Hennig

NIPS workshop: Optimizing the Optimizer

  • 26 August 2016

contributions invited

Maren Mahsereci and Philipp Hennig are co-organizing a NIPS workshop (with Alex Davies at Google) on parameter inference for nonlinear optimization algorithms.

Maren Mahsereci Philipp Hennig

Setting up the Max Planck Group on Probabilistic Numerics

  • 01 August 2016

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.

Philipp Hennig

NIPS Oral for Maren Mahsereci

  • 01 December 2015

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.

Maren Mahsereci Philipp Hennig

NIPS Oral for Michael Schober

  • 01 December 2014

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.

Michael Schober Philipp Hennig