Gianni Franchi

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

Article dans une revue (6)

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-05005555v1
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-04605490v1
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-04320979v1
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-03775894v1
One Versus all for deep Neural Network Incertitude (OVNNI) quantification Gianni Franchi,Andrei Bursuc,Emanuel Aldea,Séverine Dubuisson,Isabelle Bloch IEEE Access, 2022, ⟨10.1109/access.2021.3138978⟩ Article dans une revue hal-03097063v1
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 Donadelloet al. Information Fusion, 2021, ⟨10.1016/j.inffus.2021.09.022⟩ Article dans une revue hal-03379551v1

Communication dans un congrès (14)

Torch-Uncertainty: A Deep Learning Framework for Uncertainty Quantification Adrien Lafage,Olivier Laurent,Firas Gabetni,Gianni Franchi The Thirty-Ninth Annual Conference on Neural Information Processing Systems, Datasets & Benchmarks Track, Nov 2025, San Diego, United States Communication dans un congrès hal-05115517v2
Learning to Generate Training Datasets for Robust Semantic Segmentation Marwane Hariat,Olivier Laurent,Rémi Kazmierczak,Andrei Bursuc,Angela Yaoet al. WACV 2024 - IEEE/CVF Winter Conference on Applications of Computer Vision, Jan 2024, Waikoloa, United States. ⟨10.1109/wacv57701.2024.00385⟩ Communication dans un congrès hal-04321102v1
InfraParis: A multi-modal and multi-task autonomous driving dataset Gianni Franchi,Marwane Hariat,Xuanlong Yu,Nacim Belkhir,Antoine Manzaneraet 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-04321062v1
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-04480649v1
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-04480548v1
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-04480585v1
The Robust Semantic Segmentation UNCV2023 Challenge Results Xuanlong Yu,Juan C Sanmiguel,Xiaowen Zhang,Marcos Escudero-Viñolo,Rui Penget 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-04321188v1
MUAD: Multiple Uncertainties for Autonomous Driving, a benchmark for multiple uncertainty types and tasks Gianni Franchi,Xuanlong Yu,Andrei Bursuc,Angel Tena,Rémi Kazmierczaket al. 33rd British Machine Vision Conference, Nov 2022, London, United Kingdom Communication dans un congrès hal-04454911v1
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-03775941v1
Latent Discriminant deterministic Uncertainty Gianni Franchi,Xuanlong Yu,Andrei Bursuc,Emanuel Aldea,Séverine Dubuissonet 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-03775954v1
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-03400658v1
Robust Semantic Segmentation with Superpixel-Mix Gianni Franchi,Nacim Belkhir,Mai Lan Ha,Yufei Hu,Andrei Bursucet al. British Machine Vision Conference, 2021, Online, France Communication dans un congrès hal-03400621v1
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-02916158v1
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-03097035v2

Rapport (1)

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-02428596v1

Thèse (1)

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-01483980v2