collaborators

5 papers

cs.CV2026

All Eyes on the Workflow: Automated and Efficient Event Discovery from Video Streams

Marco Pegoraro, Jonas Seng, Dustin Heller +2

Disciplines such as business process management and process mining aid organizations by discovering insights about processes on the basis of recorded event data. However, an obstac…

cs.LG2025

Hyperparameter Optimization via Interacting with Probabilistic Circuits

Jonas Seng, Fabrizio Ventola, Zhongjie Yu +1

Despite the growing interest in designing truly interactive hyperparameter optimization (HPO) methods, to date, only a few allow to include human feedback. Existing interactive Bay…

cs.LG2025

Guidelines for the Quality Assessment of Energy-Aware NAS Benchmarks

Nick Kocher, Christian Wassermann, Leona Hennig +5

Neural Architecture Search (NAS) accelerates progress in deep learning through systematic refinement of model architectures. The downside is increasingly large energy consumption d…

cs.LG2025

Systems with Switching Causal Relations: A Meta-Causal Perspective

Moritz Willig, Tim Nelson Tobiasch, Florian Peter Busch +3

Most work on causality in machine learning assumes that causal relationships are driven by a constant underlying process. However, the flexibility of agents' actions or tipping poi…

cs.LG2025

Scaling Probabilistic Circuits via Data Partitioning

Jonas Seng, Florian Peter Busch, Pooja Prasad +3

Probabilistic circuits (PCs) enable us to learn joint distributions over a set of random variables and to perform various probabilistic queries in a tractable fashion. Though the t…