Gianni Franchi

22
Documents

Présentation

I'm an assistant professor in the U2IS at ENSTA Paris. My research focuses on theoretical deep learning. I'm interested in uncertainty and deep learning, statistical models, semi-supervised learning, domain adaptation, etc ...

Publications

Publications

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Robust trajectory forecasting in autonomous systems using mixtures of Student’s T-distributions with T-DistNet

Adrien Lafage , Gianni Franchi , Mathieu Barbier , David Filliat
Pattern Recognition, 2025, 165, pp.111524. ⟨10.1016/j.patcog.2025.111524⟩
Article dans une revue hal-05005555 v1
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Encoding the Latent Posterior of Bayesian Neural Networks for Uncertainty Quantification

Gianni Franchi , Andrei Bursuc , Emanuel Aldea , Séverine Dubuisson , Isabelle Bloch
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024, 46 (4), pp.2027-2040. ⟨10.1109/TPAMI.2023.3328829⟩
Article dans une revue hal-04320979 v1
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CLIP-QDA: An Explainable Concept Bottleneck Model

Rémi Kazmierczak , Eloïse Berthier , Goran Frehse , Gianni Franchi
Transactions on Machine Learning Research Journal, 2024
Article dans une revue hal-04605490 v1

Learning deep morphological networks with neural architecture search

Yufei Hu , Nacim Belkhir , Jesus Angulo , Angela Yao , Gianni Franchi
Pattern Recognition, 2022, 131, pp.108893. ⟨10.1016/j.patcog.2022.108893⟩
Article dans une revue hal-03775894 v1
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One Versus all for deep Neural Network Incertitude (OVNNI) quantification

Gianni Franchi , Andrei Bursuc , Emanuel Aldea , Séverine Dubuisson , Isabelle Bloch
Article dans une revue hal-03097063 v1
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EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: The MonuMAI cultural heritage use case

Natalia Díaz-Rodríguez , Alberto Lamas , Jules Sanchez , Gianni Franchi , Ivan Donadello et al.
Information Fusion, 2021, ⟨10.1016/j.inffus.2021.09.022⟩
Article dans une revue hal-03379551 v1

InfraParis: A multi-modal and multi-task autonomous driving dataset

Gianni Franchi , Marwane Hariat , Xuanlong Yu , Nacim Belkhir , Antoine Manzanera et al.
WACV 2024 - IEEE/CVF Winter Conference on Applications of Computer Vision, Jan 2024, Waikoloa, United States. ⟨10.1109/WACV57701.2024.00295⟩
Communication dans un congrès hal-04321062 v1

Learning to Generate Training Datasets for Robust Semantic Segmentation

Marwane Hariat , Olivier Laurent , Rémi Kazmierczak , Andrei Bursuc , Angela Yao et al.
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Jan 2024, WAIKOLOA, United States. ⟨10.1109/wacv57701.2024.00385⟩
Communication dans un congrès hal-04321102 v1
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Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on Regression

Xuanlong Yu , Gianni Franchi , Jindong Gu , Emanuel Aldea
38th AAAI Conference on Artificial Intelligence (AAAI-24), Feb 2024, Vancouvert, Canada. ⟨10.1609/aaai.v38i7.28508⟩
Communication dans un congrès hal-04480649 v1
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NECO: NEURAL COLLAPSE BASED OUT-OF-DISTRIBUTION DETECTION

Mouin Ben Ammar , Nacim Belkhir , Sebastien Popescu , Antoine Manzanera , Gianni Franchi
The Twelfth International Conference on Learning Representations, May 2024, Vienne (AUT), France
Communication dans un congrès hal-04480548 v1

A Symmetry-Aware Exploration of Bayesian Neural Network Posteriors

Olivier Laurent , Emanuel Aldea , Gianni Franchi
12th International Conference on Learning Representations. ICLR 2024, May 2024, Vienna, Austria
Communication dans un congrès hal-04480585 v1
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The Robust Semantic Segmentation UNCV2023 Challenge Results

Xuanlong Yu , Juan C Sanmiguel , Xiaowen Zhang , Marcos Escudero-Viñolo , Rui Peng et al.
2023 IEEE/CVF International Conference on Computer Vision (ICCVW) Workshops, Oct 2023, Paris, France. pp.4620-4630, ⟨10.1109/iccvw60793.2023.00496⟩
Communication dans un congrès hal-04321188 v1
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MUAD: Multiple Uncertainties for Autonomous Driving, a benchmark for multiple uncertainty types and tasks

Gianni Franchi , Xuanlong Yu , Andrei Bursuc , Angel Tena , Rémi Kazmierczak et al.
33rd British Machine Vision Conference, Nov 2022, London, United Kingdom
Communication dans un congrès hal-04454911 v1
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On Monocular Depth Estimation and Uncertainty Quantification using Classification Approaches for Regression

Xuanlong Yu , Gianni Franchi , Emanuel Aldea
29th IEEE International Conference on Image Processing (IEEE ICIP), Oct 2022, Bordeaux, France. ⟨10.1109/ICIP46576.2022.9897930⟩
Communication dans un congrès hal-03775941 v1
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Latent Discriminant deterministic Uncertainty

Gianni Franchi , Xuanlong Yu , Andrei Bursuc , Emanuel Aldea , Séverine Dubuisson et al.
European Conference on Computer Vision (ECCV 2022), Oct 2022, Tel Aviv,, Israel. ⟨10.1007/978-3-031-19775-8_15⟩
Communication dans un congrès hal-03775954 v1

Robust Semantic Segmentation with Superpixel-Mix

Gianni Franchi , Nacim Belkhir , Mai Lan Ha , Yufei Hu , Andrei Bursuc et al.
The British Machine Vision Conference (BMVC), Nov 2021, Online, United Kingdom
Communication dans un congrès hal-03400621 v1

SLURP: Side Learning Uncertainty for Regression Problems

Xuanlong Yu , Gianni Franchi , Emanuel Aldea
The 32nd British Machine Vision Conference, Nov 2021, Online, United Kingdom
Communication dans un congrès hal-03400658 v1

Tracking hundreds of people in densely crowded scenes with particle filtering supervising deep convolutional neural networks

G. Franchi , Emanuel Aldea , Séverine Dubuisson , Isabelle Bloch
IEEE International Conference on Image Processing (ICIP), 2020, Abu Dhabi, Unknown Region. ⟨10.1109/ICIP40778.2020.9190953⟩
Communication dans un congrès hal-02916158 v1
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Encoding the latent posterior of Bayesian Neural Networks for uncertainty quantification

Gianni Franchi , Andrei Bursuc , Emanuel Aldea , Séverine Dubuisson , Isabelle Bloch
NeurIPS workshop on Bayesian Deep Learning, Dec 2020, Vancouver, Canada
Communication dans un congrès hal-03097035 v2

TRADI: Tracking deep neural network weight distributions

Gianni Franchi , Andrei Bursuc , Emmanuel Aldea , Séverine Dubuisson , Isabelle Bloch
[Research Report] Telecom Paristech; LTCI - Laboratoire Traitement et Communication de l'Information [Paris]. 2019
Rapport (rapport de recherche) hal-02428596 v1
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Spatial machine learning applied to multivariate and multimodal images

Gianni Franchi
Image Processing [eess.IV]. Université Paris sciences et lettres, 2016. English. ⟨NNT : 2016PSLEM071⟩
Thèse tel-01483980 v2