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Empirical Inference
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Algorithms and Society
Biomimetic Materials and Machines
Deep Models and Optimization
Human Aspects of Machine Learning
Learning and Dynamical Systems
Organizational Leadership and Diversity
Robotic Composites and Compositions
Robust Machine Learning
Safety- and Efficiency- aligned Learning
About Us
About us
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Faculty
People Directory
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Contact
Management
Contact
Directions
Our Institute
About our institute
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Points of Contact for Employees
Our History
100/10 year anniversary
Career
Career
Career
Career
Open positions
Doctoral Programs
Doctoral Programs Overview
International Max Planck Research School for Intelligent Systems
Max Planck ETH Center for Learning Systems
ELLIS PhD Program
Training
Internships
Planck Academy
Service
Service
Service Units
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Administration
Scientific Coordination Office
IT Services
Welcome Service
Central Scientific Facilities
Facilities Overview
Materials
Medical Systems
Optics and Sensing Laboratory
Robotics
Scientific Computing
Software Workshop
Workshops
Workshop Overview
Fine Mechanical Workshop
Glass Workshop
Central Mechanical Workshop
Mechatronics Workshop
Campus Services
Campus Facilities
Library
Max Planck House Tübingen
Impact
Impact
Impact
Impact Overview
Diversity, Equity, and Inclusion
Sustainability
Entrepreneurship & Innovation
Cooperation
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Doctoral Programs
Partners and Initiatives
Cyber Valley
European Laboratory for Learning and Intelligent Systems
ELLIS Institute Tübingen
Tübingen AI Center
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Pierre Schumacher
Empirical Inference
Doctoral Researcher
Max Planck Ring 4
72076 Tübingen
pierre.schumacher@tuebingen.mpg.de
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