2 papers
cs.LG2025
On Uniformly Scaling Flows: A Density-Aligned Approach to Deep One-Class Classification
Faried Abu Zaid, Tim Katzke, Emmanuel Müller +1
Unsupervised anomaly detection is often framed around two widely studied paradigms. Deep one-class classification, exemplified by Deep SVDD, learns compact latent representations o…
cs.LG2025
Unsupervised Automata Learning via Discrete Optimization
Simon Lutz, Daniil Kaminskyi, Florian Wittbold +5
Automata learning is a successful tool for many application domains such as robotics and automatic verification. Typically, automata learning techniques operate in a supervised lea…