2 papers
cs.CV2026
Generative Anonymization in Event Streams
Adam T. Müller, Mihai Kocsis, Nicolaj C. Stache
Neuromorphic vision sensors offer low latency and high dynamic range, but their deployment in public spaces raises severe data protection concerns. Recent Event-to-Video (E2V) mode…
cs.LG2026
Monte Carlo Stochastic Depth for Uncertainty Estimation in Deep Learning
Adam T. Müller, Tobias Rögelein, Nicolaj C. Stache
The deployment of deep neural networks in safety-critical systems necessitates reliable and efficient uncertainty quantification (UQ). A practical and widespread strategy for UQ is…