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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A Symmetry-Aware Exploration of Bayesian Neural Network Posteriors
Communication dans un congrès Published on 01/05/2024 co-written by Olivier Laurent, Emanuel Aldea, Gianni Franchi -
CLIP-QDA: An Explainable Concept Bottleneck Model
Article dans une revue Published on 01/05/2024 co-written by Rémi Kazmierczak, Eloïse Berthier, Goran Frehse, Gianni Franchi -
NECO: NEURAL COLLAPSE BASED OUT-OF-DISTRIBUTION DETECTION
Communication dans un congrès Published on 01/05/2024 co-written by Mouin Ben Ammar, Nacim Belkhir, Sebastien Popescu, Antoine Manzanera, Gianni Franchi -
Encoding the Latent Posterior of Bayesian Neural Networks for Uncertainty Quantification
Article dans une revue Published on 01/04/2024 co-written by Gianni Franchi, Andrei Bursuc, Emanuel Aldea, Séverine Dubuisson, Isabelle Bloch -
Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on Regression
Communication dans un congrès Published on 25/02/2024 co-written by Xuanlong Yu, Gianni Franchi, Jindong Gu, Emanuel Aldea -
InfraParis: A multi-modal and multi-task autonomous driving dataset
Communication dans un congrès Published on 01/01/2024 co-written by Gianni Franchi, Marwane Hariat, Xuanlong Yu, Nacim Belkhir, Antoine Manzanera, David Filliat -
Learning to Generate Training Datasets for Robust Semantic Segmentation
Communication dans un congrès Published on 01/01/2024 co-written by Marwane Hariat, Olivier Laurent, Rémi Kazmierczak, Andrei Bursuc, Angela Yao, Gianni Franchi -
The Robust Semantic Segmentation UNCV2023 Challenge Results
Communication dans un congrès Published on 01/01/2023 co-written by Xuanlong Yu, Juan C Sanmiguel, Xiaowen Zhang, Marcos Escudero-Viñolo, Rui Peng, Hanlin Tian, Xinyi Wang, Kenta Matsui, Jiaxuan Zhao, Tianhao Wang, Junpei Zhang, Fahmy Adan, Zitao Wang, Zhitong Gao, Xuming He, Yuting Yang, Quentin Bouniot, Fang Liu, Hossein Moghaddam, Yi Zuo, Shyam Nandan Rai, Kexin Zhang, Fabio Cermelli, Roberto Alcover-Couso, Carlo Masone, Licheng Jiao, Andrea Pilzer, Elisa Ricci, Andrei Bursuc, Arno Solin, Martin Trapp, Rui Li, Angela Yao, Wenlong Chen, Ivor Simpson, Neill D. F. Campbell, Gianni Franchi -
MUAD: Multiple Uncertainties for Autonomous Driving, a benchmark for multiple uncertainty types and tasks
Communication dans un congrès Published on 21/11/2022 co-written by Gianni Franchi, Xuanlong Yu, Andrei Bursuc, Angel Tena, Rémi Kazmierczak, Séverine Dubuisson, Emanuel Aldea, David Filliat -
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 -
EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: The MonuMAI cultural heritage use case
Article dans une revue Published on 01/10/2021 co-written by Natalia Díaz-Rodríguez, Alberto Lamas, Jules Sanchez, Gianni Franchi, Ivan Donadello, Siham Tabik, David Filliat, Policarpo Cruz, Rosana Montes, Francisco Herrera -
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 -
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, Emanuel 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 -
Spatial machine learning applied to multivariate and multimodal images
Thèse Published on 21/09/2016 by Gianni Franchi