1st Tübingen Robust Learning Symposium

About the Event

The Tübingen Robust Learning Symposium is a one-day, biannual meeting organized by doctoral students of the BMBF Competence Center for Machine Learning.

  • Date & Time: 9am to 6pm February 17, 2020
  • Venue: Max Planck Institute for Intelligent Systems, Max-Planck-Ring 4, 72076 Tübingen
  • Attendees: Doctoral Students and Faculty Members of the Tübingen AI Competence Center "Robust Learning"; Interested Doctoral Students from other groups at the University of Tübingen and the Max Planck Institutes in Tübingen and Stuttgart


Morning Session (MPI-IS Lecture Hall)

  • 8.30am - 9.00am: Registration Desk open, MPI-IS Lobby
  • 9.00am - 9.10am: Welcome & Introduction – Steffen Schneider, Organizing Committee
  • 9.10am - 10.10am: Learning Disentangled Representations – Invited Talk by Francesco Locatello, ETH Zurich
  • 10.20am - 11.00am: Robust Learning Research at the Tübingen AI Center – Matthias Bethge, Director of the Tübingen AI Center
  • 11.15am - 12.15pm: Promising Research Directions in Visual Learning – Invited Talk by Thomas Brox, University of Freiburg
  • 12.15pm - 1.00pm: Lunch Break in the MPI-IS Lobby

In case you only attend the afternoon/evening sessions, you can also come to the registration desk during the lunch break.

Afternoon Session

  • 1.00pm - 4.30pm: Workshop Sessions
    • 1.00pm - 2.45pm: First Part
    • 2.45pm - 3.15pm: Coffee Break in the MPI-IS Lobby
    • 3.15pm - 4.30pm: Second Part
  • Topics:
    • Track I: Zeynep Akata, Eric Raidl, Lenon Minorics: Interpretability & Explainable AI (MPI-IS Lecture Hall)
    • Track II: Georg Martius and Sebastian Blaes: Robust Action Learning (Max Planck House Lecture Hall)
    • Track III: Dylan Paiton and Santiago Cadena: Neuroscience and ML (Max Planck Cybernetics Seminar Room)
    • Track IV: Wieland Brendel and Jonas Rauber: Robust Perception & Adversarial Robustness (Max Planck House Seminar Room)

Evening Session

Invited Speakers

Professor for Pattern Recognition and Image Processing & Head of the Computer Vision Group

University of Freiburg

Research Consultant

MPI-IS & ETH Zurich


Attendance is open to all interested students, researchers and faculty members in Tübingen and the joint Stuttgart & Tübingen graduate schools (like IMPRS-IS) on a first come, first served basis. Registration closed on 06/02 at noon.

We might still be able to accommodate you, please reach out directly to steffen [at] bethgelab [dot] org if you are interested in joining for one of the sessions. In case you want to join the workshops, please directly indicate your preference.

Organizing Committee

Indu Ilanchezian

Deep learning for medical imaging, Berens Lab

Katja Schwarz

Computer Vision & Machine Learning, Autonomous Vision Group

Konstantin Willeke

Machine Learning & Computational Neuroscience, Sinz Lab

Lisa Schmors

Neural Coding, Machine Learning & Neuroscience, Berens Lab

Michael Strecke

Computer Vision, Embodied Vision Group

Valkyrie Felso

Computational Cognitive Science, Rationality Enhancement Group

Mohammad Bashiri

Machine Learning & Computational Neuroscience, Sinz Lab

Steffen Schneider

Machine Learning & Computational Neuroscience, Bethge Lab

Monika Lam


Tübingen AI Center

Partners & Funding