Lorenz Linhardt
Lorenz Linhardt
Doctoral Researcher
Lorenz Linhardt is a research associate working in the Machine Learning Group of TU Berlin. He received a M.Sc. in Computer Science from ETH Zurich in 2019.
- Explainable Machine Learning
- Machine Learning for medical applications
- Neural architecture search
- Representation learning
Lorenz Linhardt, Marco Morik, Sidney Bender, Naima Elosegui Borras
AN ANALYSIS OF HUMAN ALIGNMENT OF LATENT DIFFUSION MODELS
Lukas Muttenthaler, Lorenz Linhardt, Jonas Dippel, Robert A. Vandermeulen, Katherine Hermann, Andrew K. Lampinen, Simon Kornblith
Improving neural network representations using human similarity judgments
Lorenz Linhardt, Klaus-Robert Müller, Grégoire Montavon
Preemptively Pruning Clever-Hans Strategies in Deep Neural Networks
Lukas Muttenthaler, Jonas Dippel, Lorenz Linhardt, Robert A. Vandermeulen, Simon Kornblith
Human alignment of neural network representations
Call for XAI-Papers!
Two research groups associated with BIFOLD take part in the organization of the 2nd World Conference on Explainable Artificial Intelligence. Each group is hosting a special track and has already published a Call for Papers. Researchers are encouraged to submit their papers by March 5th, 2024.
Do computers and humans "see" alike?
The field of computer vision has long since left the realm of research and is now used in countless daily applications, such as object recognition and measuring geometric structures of objects. One question that is not or only rarely asked is: To what extent do computer vision systems see the world in the same way that humans do?