7 citations · 7 across the 4 of their papers we have counts for
8 papers
Generative human motion mimicking through feature extraction in denoising diffusion settings
Alexander Okupnik, Johannes Schneider, Kyriakos Flouris
Recent success with large language models has sparked a new wave of verbal human-AI interaction. While such models support users in a variety of creative tasks, they lack the embod…
AI Exchange Platforms
Johannes Schneider, Rene Abraham
The rapid integration of Artificial Intelligence (AI) into organizational technology frameworks has transformed how organizations engage with AI-driven models, influencing both ope…
Thematic and Task-Based Categorization of K-12 GenAI Usages with Hierarchical Topic Modeling
Johannes Schneider, Béatrice S. Hasler, Michaela Varrone +4
We analyze anonymous interaction data of minors in class-rooms spanning several months, schools, and subjects employing a novel, simple topic modeling approach. Specifically, we ca…
Focus on Likely Classes for Test-Time Prediction
Johannes Schneider
We ask: Can focusing on likely classes of a single, in-domain sample improve model predictions? Prior work argued ``no''. We put forward a novel rationale in favor of ``yes'': Shar…
Generative to Agentic AI: Survey, Conceptualization, and Challenges
Johannes Schneider
Agentic Artificial Intelligence (AI) builds upon Generative AI (GenAI). It constitutes the next major step in the evolution of AI with much stronger reasoning and interaction capab…
Using Phonemes in cascaded S2S translation pipeline
Rene Pilz, Johannes Schneider
This paper explores the idea of using phonemes as a textual representation within a conventional multilingual simultaneous speech-to-speech translation pipeline, as opposed to the…