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Sandrine VATON

6
Documents
Identifiants chercheurs

Présentation

Experienced Full Professor with a demonstrated history of working in the telecommunications industry. Skilled in Mathematical Modeling, Network Management, Network Security, Signal Processing and Digital Communications, Statistics, Time Series Analysis and Stochastic Simulations, Software and Hardware Acceleration, Computational Finance. Strong education professional with a PhD in signal processing from Telecom ParisTech and an accreditation to supervise research (HDR) in computer science from the University of Rennes 1. Gender equality adviser committed to promote computer science initiatives that reach girls. Member of the Scientific Council at AFNIC.

Publications

amine-echraibi
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Deep Infinite Mixture Models for Fault Discovery in GPON-FTTH Networks

 Amine Echraibi , Joachim Flocon-Cholet , Stephane Gosselin , Sandrine Vaton
IEEE Access, 2021, 9, pp.90488 - 90499. ⟨10.1109/access.2021.3091328⟩
Article dans une revue hal-03394392v1
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Stochastic Backpropagation through Fourier Transforms

 Amine Echraibi , Joachim Flocon Cholet , Stéphane Gosselin , Sandrine Vaton
29th European Signal Processing Conference (EUSIPCO), Aug 2021, Dublin ( virtual ), Ireland. ⟨10.23919/EUSIPCO54536.2021.9616294⟩
Communication dans un congrès hal-04165289v1
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On the Variational Posterior of Dirichlet Process Deep Latent Gaussian Mixture Models

 Amine Echraibi , Joachim Flocon-Cholet , Stéphane Gosselin , Sandrine Vaton
ICML Workshop on Invertible Neural Networks, Normalizing Flows, and Explicit Likelihood Models, Jul 2020, Vienna, Austria
Communication dans un congrès hal-02864385v2
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An Infinite Multivariate Categorical Mixture Model for Self-Diagnosis of Telecommunication Networks

 Amine Echraibi , Joachim Flocon-Cholet , Stéphane Gosselin , Sandrine Vaton
ICIN 2020 : 23rd Conference on Innovation in Clouds, Internet and Networks, Feb 2020, Paris, France. ⟨10.1109/ICIN48450.2020.9059491⟩
Communication dans un congrès hal-02431732v2
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Generalized Stochastic Backpropagation

 Amine Echraibi , Joachim Flocon Cholet , Stéphane Gosselin , Sandrine Vaton
Beyond Backpropagation: Novel Ideas for Training Neural Architectures, Workshop at NeurIPS 2020 (2020 Conference on Neural Information Processing Systems), Dec 2020, Virtual Conférence, France
Poster de conférence hal-02968975v3
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Bayesian Mixture Models For Semi-Supervised Clustering

 Amine Echraibi , Joachim Flocon-Cholet , Stéphane Gosselin , Sandrine Vaton
2019
Pré-publication, Document de travail hal-02372337v1