Institute News

Cordelia Schmid receives the Humboldt Research Award

  • 19 February 2016

Cordelia Schmid, an Inria research director, has received the Humboldt Research Award for her work on computer vision spanning more than 20 years.

She was nominated for this scientific award by Michael Black, the director of the Perceiving Systems department at the Max Planck Institute for Intelligent Systems in Tübingen, Germany. As the director of the LEAR team and then the Thoth team since 1 January 2016, Cordelia Schmid is particularly interested in visual recognition linking invariant image descriptors with learning methods. Her research enables a computer to learn not only to interpret all types of real images and videos, but also to recognize objects, actions and places by learning large image and video bases containing more than 100 million images. Cordelia Schmid figures among the world’s precursors and leaders in the field of modern visual recognition methods; she is also named in the “Highly Cited Researchers 2015” list (source: Thomson Reuters).

Michael Black


2016 RAS Early Career Award (Academic)

  • 05 February 2016

for Ludovic Righetti, Group Leader AM Department

recognizing "his contributions to the theory of, and experiments in, robot locomotion and manipulation".

Ludovic Righetti


Roboter machen Schule - Robots set standards

  • 14 January 2016

Autonomous Robots made in Tübingen

Als Haushaltshilfe, Pflegeassistent oder Katastrophenschützer taugen Roboter nur, wenn sie lernfähig sind und zumindest ansatzweise selbstständig handeln können. Stefan Schaal und die Mitarbeiter seiner Abteilung am Max-Planck-Institut für Intelligente Systeme in Tübingen bringen den Maschinen diese Flexibilität und Autonomie bei.

Stefan Schaal Ludovic Righetti Jeannette Bohg Sebastian Trimpe


Autos gehen die Augen auf - Cars open their Eyes

  • 07 January 2016

Perception is essential for Intelligence

Einen Wagen mit Chauffeur könnte es irgendwann für jeden geben, wenn nämlich ein Roboter das Steuer übernimmt. Damit Autos auch ohne großen technischen Aufwand autonom fahren können, müssen Computer unübersichtliche Verkehrssituation jedoch mindestens genauso gut beurteilen wie der Mensch.

Andreas Geiger Michael Black Osman Ulusoy Joel Janai


Middlebury Dataset awarded 2015 IEEE Mark Everingham Prize

  • 16 December 2015

The 2015 PAMI Mark Everingham Prize was awarded to the Middlebury Dataset (Daniel Scharstein, Richard Szeliski, and team) for a series of datasets and on-line evaluations, starting with the Stereo datasets in 2001, and extending to Optical Flow, MRF and others, which have inspired many other datasets. Michael Black was part of the team behind the Optical Flow dataset and evaluation.

Michael Black


Best Paper Award @ NIPS Workshop 2015

  • 12 December 2015

for Ruth Urner at the NIPS 2015 Workshop on "Transfer and Multitask Learning: Trends and New Perspectives".

Ruth Urner


Köppen Award 2015 for Machine Learning in Climate Research

  • 09 December 2015

Excellent doctoral dissertation

Dr. Jakob Zscheischler is to receive this year’s Wladimir Peter Köppen Award. The Cluster of Excellence CliSAP selected the mathematician for his excellent doctoral dissertation submitted at the Swiss Federal Institute of Technology Zurich (ETH) in 2014. His work was rated trendsetting by the jurors who found its thematic and methodical approach particularly original. Jakob Zscheischler completed his dissertation in Germany at the German Max Planck Institute for Biogeochemistry in Jena and the Max Planck Institute for Intelligent Systems in Tübingen.

Jakob Zscheischler


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


Inauguration of the Max Planck ETH Center for Learning Systems

  • 30 November 2015

Inauguration Ceremony in Tübingen

(From left to right): Prof. Dr. Bradley Nelson (ETH Zürich), Dr. Stefan Schaal (MPI for Intelligent Systems), Christine Schraner Burgener (Swiss Ambassador to Germany), Prof. Dr. Lino Guzella (President ETH Zürich), Prof. Dr. Martin Stratmann (President Max Planck Society), Theresia Bauer (Science Minister of Baden-Württemberg), Prof. Dr. Bernhard Schölkopf MPI for Intelligent Systems and Co-Director of the CLS), Prof. Dr. Thomas Hofmann (ETH Zürich, Co-Director of the CLS).


Learning Control Workshop

  • 11 November 2015

Researchers from ETH Zürich and MPI for Intelligent Systems come together to exchange ideas and discuss challenges for Learning Control

Albeit Learning Control is not uniquely defined, we understand Learning Control as the rather broad research area that lies at the intersection of Machine Learning and Automatic Control. This includes, but is not limited to data-driven approaches for control design, adaptive control, dual control, machine learning for control, online learning, active learning for control, reinforcement learning, and applications of learning control.

Melanie Zeilinger Ludovic Righetti Sebastian Trimpe