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Anomaly detection is highly important in many machine learning-driven fields, yet developing mostly independently for different data modalities such as audio, EEG signals, images, text, videos or time-series in general.
This workshop aims at bringing together experts in anomaly detection from different communities and at promoting joint research activities of its members.
Find more information about the workshop, program, and speakers here.
Registration deadline: 31 August 2026.
Multimodal Anomaly Detection
This workshop is part of the P1 Program Multimodal Anomaly Detection, directed by Kevin Wilkinghoff, Neelu Madan, and Juan Miguel Valverde.