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Anomaly Detection With Conditional Variational Autoencoders

 Adrian Alan Pol , Victor Berger , Gianluca Cerminara , Cécile Germain , Maurizio Pierini
ICMLA 2019 - 18th IEEE International Conference on Machine Learning and Applications, Dec 2019, Boca Raton, United States. pp.1651-1657, ⟨10.1109/ICMLA.2019.00270⟩
Communication dans un congrès hal-02396279v1
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Variational Auto-Encoder: not all failures are equal

 Victor Berger , Michèle Sebag
2020
Pré-publication, Document de travail hal-02497248v1
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Boltzmann Tuning of Generative Models

 Victor Berger , Michele Sebag
2021
Pré-publication, Document de travail hal-03193948v1
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Trigger Rate Anomaly Detection with Conditional Variational Autoencoders at the CMS Experiment

 Adrian Alan Pol , Victor Berger , Gianluca Cerminara , Cécile Germain , Maurizio Pierini
Machine Learning and the Physical Sciences Workshop at the 33rd Conference on Neural Information Processing Systems (NeurIPS), Dec 2019, Vancouver, Canada
Communication dans un congrès hal-02428005v1
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From abstract items to latent spaces to observed data and back: Compositional Variational Auto-Encoder

 Victor Berger , Michèle Sebag
ECML PKDD 2019 - European Conference on Machine learning and knowledge discovery in databases, Sep 2019, Würzburg, Germany. pp.274-289, ⟨10.1007/978-3-030-46150-8_17⟩
Communication dans un congrès hal-02431955v1
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