22 citations · 37 across the 5 of their papers we have counts for
5 papers
HARD: Hard Augmentations for Robust Distillation
Arne F. Nix, Max F. Burg, Fabian H. Sinz
Knowledge distillation (KD) is a simple and successful method to transfer knowledge from a teacher to a student model solely based on functional activity. However, current KD has a…
Image retrieval outperforms diffusion models on data augmentation
Max F. Burg, Florian Wenzel, Dominik Zietlow +4
Many approaches have been proposed to use diffusion models to augment training datasets for downstream tasks, such as classification. However, diffusion models are themselves train…
The Sensorium competition on predicting large-scale mouse primary visual cortex activity
Konstantin F. Willeke, Paul G. Fahey, Mohammad Bashiri +12
The neural underpinning of the biological visual system is challenging to study experimentally, in particular as the neuronal activity becomes increasingly nonlinear with respect t…
Number fluctuations induce persistent congestion
Verena Krall, Max F. Burg, Malte Schröder +1
The capacity of a street segment quantifies the maximal density of vehicles before congestion arises. Here we show in a simple mathematical model that fluctuations in the instantan…
Obscuring digital route choice information prevents delay-induced congestion
Verena Krall, Max F. Burg, Friedrich Pagenkopf +3
Although routing applications increasingly affect individual mobility choices, their impact on collective traffic dynamics remains largely unknown. Smart communication technologies…