We move forward
Explainable Machine Learning
Zero-Shot Learning
Multimodal Learning
Team
Zeynep Akata
Professor
Almut Sophia Koepke
Research Fellow
Massimiliano Mancini
Postdoctoral Researcher
Stephan Alaniz
Postdoctoral Researcher
Anders Christensen
PhD Researcher
Jae Myung Kim
PhD Researcher
Karsten Roth
PhD Researcher
Leonard Salewski
PhD Researcher
Meghal Dani
PhD Researcher
Otniel-Bogdan Mercea
PhD Researcher
Shyamgopal Karthik
PhD Researcher
Thomas Hummel
PhD Researcher
Uddeshya Upadhyay
PhD Researcher
Isabel Rio-Torto
Visiting PhD Researcher
Lukas Thede
Research Scientist
Jessica Bader
HiWi MSc student
Joschka Strüber
HiWi MSc student
Yavuz Durmazkeser
HiWi MSc student
Zafir Stojanovski
HiWi MSc student
Michael Gröger
MSc student
Stefan Fauth
MSc student
Katrin Renz
Collaborating PhD Researcher
Lennart Van der Goten
Collaborating PhD Researcher
Massimo Bini
Collaborating PhD Researcher
Michael Kirchhof
Collaborating PhD Researcher
Yongqin Xian
Collaborating Research Scientist
Anjan Dutta
Collaborating Faculty
Diego Marcos
Collaborating Faculty
Seong Joon Oh
Collaborating Faculty
Michael Mergner
Administrative assistant
Cordelia Schmid
Collaborating ELLIS Fellow
Ole Winther
Collaborating ELLIS Fellow
Oriol Vinyals
Collaborating ELLIS Fellow
Publications
Disentanglement of Correlated Factors via Hausdorff Factorized Support
Karsten Roth, Mark Ibrahim, Zeynep Akata, Pascal Vincent*, Diane Bouchacourt*
International Conference on Learning Representations, ICLR 2023
PlanT: Explainable Planning Transformers via Object-Level Representations
Katrin Renz, Kashyap Chitta, Otniel-Bogdan Mercea, A. Sophia Koepke, Zeynep Akata, Andreas Geiger
Conference on Robot Learning, CoRL 2022
Distilling Knowledge from Self-Supervised Teacher by Embedding Graph Alignment
Yuchen Ma*, Yanbei Chen*, Zeynep Akata
The British Machine Vision Conference (BMVC) 2022
Teaching
News
Contact
Explainable Machine Learning Tübingen
AI Research Building
Maria-Von-Linden-Straße 6
72076 Tübingen
Office
Michael Mergner
eml-sekretariat@inf.uni-tuebingen.de(c) 2021 Explainable Machine Learning Tübingen Impressum