5 citations · 7 across the 4 of their papers we have counts for
4 papers
Knowing When to Quit: Probabilistic Early Exits for Speech Separation
Kenny Falkær Olsen, Mads Østergaard, Karl Ulbæk +4
In recent years, deep learning-based single-channel speech separation has improved considerably, in large part driven by increasingly compute- and parameter-efficient neural networ…
Probabilistic PARAFAC2
Philip J. H. Jørgensen, Søren F. V. Nielsen, Jesper L. Hinrich +3
The PARAFAC2 is a multimodal factor analysis model suitable for analyzing multi-way data when one of the modes has incomparable observation units, for example because of difference…
Scalable Group Level Probabilistic Sparse Factor Analysis
Jesper L. Hinrich, Søren F. V. Nielsen, Nicolai A. B. Riis +6
Many data-driven approaches exist to extract neural representations of functional magnetic resonance imaging (fMRI) data, but most of them lack a proper probabilistic formulation.…
Nonparametric Modeling of Dynamic Functional Connectivity in fMRI Data
Søren F. V. Nielsen, Kristoffer H. Madsen, Rasmus Røge +2
Dynamic functional connectivity (FC) has in recent years become a topic of interest in the neuroimaging community. Several models and methods exist for both functional magnetic res…