Gianni Franchi
Unité d'Informatique et d'Ingénierie des Systèmes (U2IS)
Enseignant chercheur
My name is Gianni Franchi, I am an assistant professor at ENSTA. If you are interested in theoretical deep learning don't hesitate to contact me.
Research and education activities
My research focuses on theoretical Deep learning. More particularly, I focus on:
- Uncertainty and Deep learning
- Reliable Artificial Intelligence
- Explainable Artificial Intelligence
- Self-supervised learning
- Domain adaptation
- Semi-supervised learning
- Active learning
HAL Publications
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Learning deep morphological networks with neural architecture search
Article dans une revue Published on 01/11/2022 co-written by Yufei Hu, Nacim Belkhir, Jesus Angulo, Angela Yao, Gianni Franchi -
Latent Discriminant deterministic Uncertainty
Communication dans un congrès Published on 23/10/2022 co-written by Gianni Franchi, Xuanlong Yu, Andrei Bursuc, Emanuel Aldea, Séverine Dubuisson, David Filliat -
On Monocular Depth Estimation and Uncertainty Quantification using Classification Approaches for Regression
Communication dans un congrès Published on 16/10/2022 co-written by Xuanlong Yu, Gianni Franchi, Emanuel Aldea -
One Versus all for deep Neural Network Incertitude (OVNNI) quantification
Article dans une revue Published on 03/01/2022 co-written by Gianni Franchi, Andrei Bursuc, Emanuel Aldea, Séverine Dubuisson, Isabelle Bloch -
Robust Semantic Segmentation with Superpixel-Mix
Communication dans un congrès Published on 25/10/2021 co-written by Gianni Franchi, Nacim Belkhir, Mai Lan Ha, Yufei Hu, Andrei Bursuc, Volker Blanz, Angela Yao -
SLURP: Side Learning Uncertainty for Regression Problems
Communication dans un congrès Published on 25/10/2021 co-written by Xuanlong Yu, Gianni Franchi, Emanuel Aldea -
Encoding the latent posterior of Bayesian Neural Networks for uncertainty quantification
Communication dans un congrès Published on 10/12/2020 co-written by Gianni Franchi, Andrei Bursuc, Emanuel Aldea, Séverine Dubuisson, Isabelle Bloch -
TRADI: Tracking deep neural network weight distributions
Communication dans un congrès Published on 01/01/2020 co-written by G. Franchi, A. Bursuc, E. Aldea, Séverine Dubuisson, Isabelle Bloch -
Tracking hundreds of people in densely crowded scenes with particle filtering supervising deep convolutional neural networks
Communication dans un congrès Published on 01/01/2020 co-written by G. Franchi, E. Aldea, Séverine Dubuisson, Isabelle Bloch -
TRADI: Tracking deep neural network weight distributions
Rapport Published on 01/12/2019 co-written by Gianni Franchi, Andrei Bursuc, Emmanuel Aldea, Séverine Dubuisson, Isabelle Bloch -
Crowd Behaviour Characterization for Scene Tracking
Communication dans un congrès Published on 01/01/2019 co-written by Gianni Franchi, E. Aldea, S. Dubuisson, Isabelle Bloch -
Spatial machine learning applied to multivariate and multimodal images
Thèse Published on 21/09/2016 by Gianni Franchi