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Boltzmann Tuning of Generative Models


Apr 12, 2021
Victor Berger, Michele Sebag


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Anomaly Detection With Conditional Variational Autoencoders


Oct 12, 2020
Adrian Alan Pol, Victor Berger, Gianluca Cerminara, Cecile Germain, Maurizio Pierini

* Presented at ICMLA 2019 

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Variational Auto-Encoder: not all failures are equal


Mar 04, 2020
Michele Sebag, Victor Berger, Michèle Sebag


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From abstract items to latent spaces to observed data and back: Compositional Variational Auto-Encoder


Jan 22, 2020
Victor Berger, Michèle Sebag

* ECMLPKDD 2019 : European Conference on Machine learning and knowledge discovery in databases, Sep 2019, W{\"u}rzburg, Germany 

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New Losses for Generative Adversarial Learning


Jul 26, 2018
Victor Berger, Michèle Sebag

* The central result of the paper was based on a wrong assumption: the term in the loss capturing the variation of the optimal discriminator with relation to the generator can be proved to be always zero using the Envelope Theorem 

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