897 citations · 1.2k across the 22 of their papers we have counts for
5 papers · 1 filter
Human alignment of neural network representations
Lukas Muttenthaler, Jonas Dippel, Lorenz Linhardt +2
Today's computer vision models achieve human or near-human level performance across a wide variety of vision tasks. However, their architectures, data, and learning algorithms diff…
Generalized Identifiability Bounds for Mixture Models with Grouped Samples
Robert A. Vandermeulen, René Saitenmacher
Recent work has shown that finite mixture models with components are identifiable, while making no assumptions on the mixture components, so long as one has access to groups of…
Exposing Outlier Exposure: What Can Be Learned From Few, One, and Zero Outlier Images
Philipp Liznerski, Lukas Ruff, Robert A. Vandermeulen +3
Due to the intractability of characterizing everything that looks unlike the normal data, anomaly detection (AD) is traditionally treated as an unsupervised problem utilizing only…
VICE: Variational Interpretable Concept Embeddings
Lukas Muttenthaler, Charles Y. Zheng, Patrick McClure +3
A central goal in the cognitive sciences is the development of numerical models for mental representations of object concepts. This paper introduces Variational Interpretable Conce…
Beyond Smoothness: Incorporating Low-Rank Analysis into Nonparametric Density Estimation
Robert A. Vandermeulen, Antoine Ledent
The construction and theoretical analysis of the most popular universally consistent nonparametric density estimators hinge on one functional property: smoothness. In this paper we…