Markus Frey — accepted AI-conference papers

2025

Time-series attribution maps with regularized contrastive learning

Steffen Schneider, Rodrigo González Laiz, Anastasiia Filippova, Markus Frey, Mackenzie W Mathis

AISTATS 2025poster

Gradient-based attribution methods aim to explain decisions of deep learning models but so far lack identifiability guarantees. Here, we propose a method to generate attribution maps with identifiability guarantees by developing a regularized contrastive learning algorithm trained on time-series dat…

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2023

Probing Neural Representations of Scene Perception in a Hippocampally Dependent Task Using Artificial Neural Networks

Markus Frey, Christian F. Doeller, Caswell Barry

CVPR 2023poster

Deep artificial neural networks (DNNs) trained through backpropagation provide effective models of the mammalian visual system, accurately capturing the hierarchy of neural responses through primary visual cortex to inferior temporal cortex (IT). However, the ability of these networks to explain rep…

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