Fachbereich Informatik an der RPTU in Kaiserslautern

Philipp Liznerski

(AG Machine Learning)
hosted by PhD Program in CS @ TU KL

"Interpretable Deep Anomaly Detection"

( MPI-SWS talk in Kooperation mit dem Fachbereich Informatik)

Anomaly detection (AD) is the task of finding anomalies in a corpus of data (e.g., find a dog among a collection of cats). Recent advances in deep learning have caused drastic improvements in this field. However, finding interpretations for these highly non-linear transformations poses a significant challenge. This talk presents several approaches to perform interpretable deep anomaly detection. We developed a detector on images that explains its decision by marking the pixels that it deems anomalous, an early anomaly detector for time series that predicts the anomalousness of future frames, and a model that detects anomalies in text while disentangling style and content.


Time: Monday, 25.07.2022, 16:00
Place: In-person, Room 48-680

Termin als iCAL Datei downloaden und in den Kalender importieren.