3 papers
cs.LG2025
Single-Example Learning in a Mixture of GPDMs with Latent Geometries
Jesse St. Amand, Leonardo Gizzi, Martin A. Giese
We present the Gaussian process dynamical mixture model (GPDMM) and show its utility in single-example learning of human motion data. The Gaussian process dynamical model (GPDM) is…
cs.HC2023
Predicting EEG Responses to Attended Speech via Deep Neural Networks for Speech
Emina Alickovic, Tobias Dorszewski, Thomas U. Christiansen +4
Attending to the speech stream of interest in multi-talker environments can be a challenging task, particularly for listeners with hearing impairment. Research suggests that neural…
q-bio.TO2021
Investigating the spatial resolution of EMG and MMG based on a systemic multi-scale model
Thomas Klotz, Leonardo Gizzi, Oliver Röhrle
While electromyography (EMG) and magnetomyography (MMG) are both methods to measure the electrical activity of skeletal muscles, no systematic comparison between both signals exist…