99 citations · 117 across the 6 of their papers we have counts for
6 papers
Forest-Guided Clustering -- Shedding Light into the Random Forest Black Box
Lisa Barros de Andrade e Sousa, Gregor Miller, Ronan Le Gleut +3
As machine learning models are increasingly deployed in sensitive application areas, the demand for interpretable and trustworthy decision-making has increased. Random Forests (RF)…
Objective hearing threshold identification from auditory brainstem response measurements using supervised and self-supervised approaches
Dominik Thalmeier, Gregor Miller, Elida Schneltzer +5
Hearing loss is a major health problem and psychological burden in humans. Mouse models offer a possibility to elucidate genes involved in the underlying developmental and pathophy…
deepregression: a Flexible Neural Network Framework for Semi-Structured Deep Distributional Regression
David Rügamer, Chris Kolb, Cornelius Fritz +11
In this paper we describe the implementation of semi-structured deep distributional regression, a flexible framework to learn conditional distributions based on the combination of…
Adaptive Smoothing Path Integral Control
Dominik Thalmeier, Hilbert J. Kappen, Simone Totaro +1
In Path Integral control problems a representation of an optimally controlled dynamical system can be formally computed and serve as a guidepost to learn a parametrized policy. The…
Action selection in growing state spaces: Control of Network Structure Growth
Dominik Thalmeier, Vicenç Gómez, Hilbert J. Kappen
The dynamical processes taking place on a network depend on its topology. Influencing the growth process of a network therefore has important implications on such dynamical process…
Learning universal computations with spikes
Dominik Thalmeier, Marvin Uhlmann, Hilbert J. Kappen +1
Providing the neurobiological basis of information processing in higher animals, spiking neural networks must be able to learn a variety of complicated computations, including the…