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β-Variational Classifiers Under Attack
Deep Neural networks have gained lots of attention in recent years thank...
08/20/2020 ∙ by Marco Maggipinto, et al. ∙
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IntroVAC: Introspective Variational Classifiers for Learning Interpretable Latent Subspaces
Learning useful representations of complex data has been the subject of ...
08/03/2020 ∙ by Marco Maggipinto, et al. ∙
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Adversarial Training Reduces Information and Improves Transferability
Recent results show that features of adversarially trained networks for ...
07/22/2020 ∙ by Matteo Terzi, et al. ∙
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Interpretable Anomaly Detection with DIFFI: Depth-based Feature Importance for the Isolation Forest
Anomaly Detection is one of the most important tasks in unsupervised lea...
07/21/2020 ∙ by Mattia Carletti, et al. ∙
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Directional Adversarial Training for Cost Sensitive Deep Learning Classification Applications
In many real-world applications of Machine Learning it is of paramount i...
10/08/2019 ∙ by Matteo Terzi, et al. ∙
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Robot kinematic structure classification from time series of visual data
In this paper we present a novel algorithm to solve the robot kinematic ...
03/11/2019 ∙ by Alberto Dalla Libera, et al. ∙
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