Profile

Leander Girrbach is a Ph.D. candidate under the supervision of Prof. Zeynep Akata. He received his bachelor's degree in computational linguistics from Heidelberg University in 2021 and his master's degree also in computational linguistics from the University of Tübingen in 2023.

His primary interests center around gaining a better understanding of deep learning models - understanding how neural networks work and constructing models that are more interpretable.

Publications

Revealing and Reducing Gender Biases in Vision and Language Assistants (VLAs).
Leander Girrbach, Stephan Alaniz, Yiran Huang, Trevor Darrell and Zeynep Akata
ICLR 2025
Paper | Code

Decoupling Angles and Strength in Low-rank Adaptation.
Massimo Bini, Leander Girrbach and Zeynep Akata
ICLR 2025
Paper | Code

Addressing caveats of neural persistence with deep graph persistence.
Leander Girrbach, Anders Christensen, Ole Winther, Zeynep Akata and A. Sophia Koepke
TMLR (11/2023)
Paper | Code