Speaker: Andrei Pătrașcu (University of Bucharest) Abstract: We continue our adventure by investigating existing results using Gaussian Mixture Models (GMM) for anomaly detection and their adaptation to existing deep neural networks. Required reading: Zong, Bo, et al. "Deep autoencoding gaussian mixture model for unsupervised anomaly detection." (2018). Chapter 11 from Deisenroth, Marc Peter, A. Aldo …
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Speaker: Radu Iosif (CNRS - VERIMAG, France) Abstract: We introduce a logical framework for the specification and verification of component-based systems, in which finitely many component instances are active, but the bound on their number is not known. Besides specifying and verifying parametric systems, we consider the aspect of dynamic reconfiguration, in which components can … |
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Speaker: Andra Băltoiu (University of Bucharest) Abstract: After attending the "Summer School on Applied Harmonic Analysis and Machine Learning" in Genova, Andra will give us a short introduction on Optimal Transport in the attempt of finding new prospects for the anomaly detection problem. |
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