We move forward
Explainable Machine Learning
Zero-Shot Learning
Multimodal Learning
Team
Zeynep Akata
Professor
Almut Sophia Koepke
Research Fellow
Stephan Alaniz
Postdoctoral Researcher
Anders Christensen
PhD Researcher
Jae Myung Kim
PhD Researcher
Karsten Roth
PhD Researcher
Leonard Salewski
PhD Researcher
Maja Pantić
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
Leander Girrbach
HiWi MSc student
Yavuz Durmazkeser
HiWi MSc student
Michael Gröger
MSc student
Stefan Fauth
MSc student
Lennart Van der Goten
Collaborating PhD Researcher
Massimo Bini
Collaborating PhD Researcher
Anjan Dutta
Collaborating Faculty
Diego Marcos
Collaborating Faculty
Massimiliano Mancini
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
USIM-DAL: Uncertainty-aware Statistical Image Modeling-based Dense Active Learning for Super-resolution
Vikrant Rangnekar*, Uddeshya Upadhyay*, Zeynep Akata, Biplab Banerjee
The Conference on Uncertainty in Artificial Intelligence (UAI), 2023 2023
The Manifold Hypothesis for Gradient-Based Explanations
Sebastian Bordt, Uddeshya Upadhyay, Zeynep Akata, Urlike von Luxburg
Explainable AI for Computer Vision (XAI4CV) Workshop - The IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR), 2023 2023
Classifying the unknown: Insect identification with deep hierarchical Bayesian learning
Sarkhan Badirli, Christine Johanna Picard, George Mohler, Frannie Richert, Zeynep Akata, Murat Dundar
'Methods in Ecology and Evolution' published by John Wiley & Sons Ltd on behalf of British Ecological Society 2023
Teaching
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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) 2023 Explainable Machine Learning Tübingen Impressum