18 citations · 20 across the 5 of their papers we have counts for
5 papers · 1 filter
Neural Representations, Natural Connections: What Transfers From Human Speech Foundation Models to Animal Vocalizations?
Tomás Arias-Vergara, Christopher Hauer, Héloïse Brotier +3
Speech-pretrained models have shown promise in animal bioacoustics, but the factors governing their cross-species transfer remain poorly understood. We evaluate 15 frozen encoders…
When Layer Selection Misleads Speech Depression Detection
Paula A. Perez-Toro, David Gimeno-Gómez, Daniel Rückert +1
Pretrained speech representations are increasingly used for depression detection, but selecting the best encoder layer on the same data used for evaluation biases reported performa…
A Systematic Evaluation of Machine Learning Methods for Fault Detection and Line Identification in Electrical Power Grids
Julian Oelhaf, Georg Kordowich, Paula Andrea Pérez-Toro +4
The integration of renewable energy sources into the electrical grid introduces complex challenges in fault detection and coordination of grid recovery mechanisms. Traditional rela…
Just Ask for a Table: A Thirty-Token User Prompt Defeats Sponsored Recommendations in Twelve LLMs
Andreas Maier, Jeta Sopa, Gozde Gul Sahin +2
Wu et al. (2026) showed that most frontier large language models (LLMs) recommend a sponsored, roughly twice-as-expensive flight when their system prompt contains a soft sponsorshi…
A Deep Risk Estimator for Known Operator Learning
Andreas Maier, Md Hasan, Paulina Conrad +1
We describe an approach for estimating the statistical risk of deep networks that contain a mix of learned and known operators. Building on the maximal training error bounds previo…