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
Publications
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Torch-Uncertainty: A Deep Learning Framework for Uncertainty QuantificationThe Thirty-Ninth Annual Conference on Neural Information Processing Systems, Datasets & Benchmarks Track, Nov 2025, San Diego, United States |
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InfraParis: A multi-modal and multi-task autonomous driving datasetWACV 2024 - IEEE/CVF Winter Conference on Applications of Computer Vision, Jan 2024, Waikoloa, United States. ⟨10.1109/WACV57701.2024.00295⟩ |
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Learning to Generate Training Datasets for Robust Semantic SegmentationWACV 2024 - IEEE/CVF Winter Conference on Applications of Computer Vision, Jan 2024, Waikoloa, United States. ⟨10.1109/wacv57701.2024.00385⟩ |
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Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on Regression38th AAAI Conference on Artificial Intelligence (AAAI-24), Feb 2024, Vancouvert, Canada. ⟨10.1609/aaai.v38i7.28508⟩ |
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NECO: NEURAL COLLAPSE BASED OUT-OF-DISTRIBUTION DETECTIONThe Twelfth International Conference on Learning Representations, May 2024, Vienne (AUT), France |
A Symmetry-Aware Exploration of Bayesian Neural Network Posteriors12th International Conference on Learning Representations. ICLR 2024, May 2024, Vienna, Austria |
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The Robust Semantic Segmentation UNCV2023 Challenge Results2023 IEEE/CVF International Conference on Computer Vision (ICCVW) Workshops, Oct 2023, Paris, France. pp.4620-4630, ⟨10.1109/iccvw60793.2023.00496⟩ |
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MUAD: Multiple Uncertainties for Autonomous Driving, a benchmark for multiple uncertainty types and tasks33rd British Machine Vision Conference, Nov 2022, London, United Kingdom |
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Latent Discriminant deterministic UncertaintyEuropean Conference on Computer Vision (ECCV 2022), Oct 2022, Tel Aviv,, Israel. ⟨10.1007/978-3-031-19775-8_15⟩ |
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On Monocular Depth Estimation and Uncertainty Quantification using Classification Approaches for Regression29th IEEE International Conference on Image Processing (IEEE ICIP), Oct 2022, Bordeaux, France. ⟨10.1109/ICIP46576.2022.9897930⟩ |
SLURP: Side Learning Uncertainty for Regression ProblemsThe 32nd British Machine Vision Conference, Nov 2021, Online, United Kingdom |
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Robust Semantic Segmentation with Superpixel-MixBritish Machine Vision Conference, 2021, Online, France |
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Tracking hundreds of people in densely crowded scenes with particle filtering supervising deep convolutional neural networksIEEE International Conference on Image Processing (ICIP), 2020, Abu Dhabi, Unknown Region. ⟨10.1109/ICIP40778.2020.9190953⟩ |
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Encoding the latent posterior of Bayesian Neural Networks for uncertainty quantificationNeurIPS workshop on Bayesian Deep Learning, Dec 2020, Vancouver, Canada |
TRADI: Tracking deep neural network weight distributions[Research Report] Telecom Paristech; LTCI - Laboratoire Traitement et Communication de l'Information [Paris]. 2019 |
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Spatial machine learning applied to multivariate and multimodal imagesImage Processing [eess.IV]. Université Paris sciences et lettres, 2016. English. ⟨NNT : 2016PSLEM071⟩ |