Franchi, Gianni
- Scaling for Training Time and Post-hoc Out-of-distribution Detection Enhancement
2023/09/30 by Kai Xu, Xu, Kai, Rongyu Chen +5 · 14 citations
Computer Science · Medicine · #Anomaly Detection Techniques and Applications #Advanced Neural Network Applications #COVID-19 diagnosis using AI
- NECO: NEural Collapse Based Out-of-distribution detection
2023/10/10 by Ammar, Mouïn Ben, Belkhir, Nacim, Popescu, Sebastian +2 · 12 citations
#Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Frustratingly Easy Test-Time Adaptation of Vision-Language Models
2024/05/28 by Farina, Matteo, Franchi, Gianni, Iacca, Giovanni +2 · 12 citations
#Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- Packed-Ensembles for Efficient Uncertainty Estimation
2022/10/17 by Laurent, Olivier, Lafage, Adrien, Tartaglione, Enzo +4 · 8 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- TRADI: Tracking deep neural network weight distributions for uncertainty\n estimation
2019/12/24 by Gianni Franchi, Franchi, Gianni, Andrei Bursuc +7 · 5 citations
Computer Science · Engineering · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Fault Detection and Control Systems #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms
- Encoding the latent posterior of Bayesian Neural Networks for uncertainty quantification
2020/12/04 by Gianni Franchi, Franchi, Gianni, Andrei Bursuc +7 · 4 citations
Computer Science · #Adversarial Robustness in Machine Learning #Advanced Neural Network Applications #Explainable Artificial Intelligence (XAI)
- Organizing Unstructured Image Collections using Natural Language
2024/10/07 by Mingxuan Liu, Zhun Zhong, Liu, Mingxuan +9 · 6 citations
Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Image Retrieval and Classification Techniques
- Make Me a BNN: A Simple Strategy for Estimating Bayesian Uncertainty from Pre-trained Models
2023/12/23 by Gianni Franchi, Franchi, Gianni, Olivier Laurent +9 · 4 citations
Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Machine Learning and Data Classification
- A Symmetry-Aware Exploration of Bayesian Neural Network Posteriors
2023/10/12 by Olivier Laurent, Emanuel Aldea, Laurent, Olivier +3 · 4 citations
Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
- A study of deep perceptual metrics for image quality assessment
2022/02/17 by Kazmierczak, Rémi, Franchi, Gianni, Belkhir, Nacim +2 · 2 citations
#Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Graphics (cs.GR)
- FakeParts: a New Family of AI-Generated DeepFakes
2025/08/28 by Ziyi Liu, Liu, Ziyi, Firas Gabetni +13 · 2 voices · 1 citation
Social Sciences · #Misinformation and Its Impacts #cs.AI #cs.CV #cs.MM
- Greybox XAI: a Neural-Symbolic learning framework to produce interpretable predictions for image classification
2022/09/26 by Bennetot, Adrien, Franchi, Gianni, Del Ser, Javier +2 · 2 citations
#Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Robust Semantic Segmentation with Superpixel-Mix
2021/08/02 by Franchi, Gianni, Belkhir, Nacim, Ha, Mai Lan +4 · 1 citation
#Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (stat.ML)
- Hierarchical Light Transformer Ensembles for Multimodal Trajectory Forecasting
2024/03/26 by Adrien Lafage, Mathieu Barbier, Lafage, Adrien +5 · 2 citations
Computer Science · Engineering · #Computer Vision and Pattern Recognition (cs.CV) #Data Management and Algorithms #FOS: Computer and information sciences #Time Series Analysis and Forecasting #Traffic Prediction and Management Techniques
- MUAD: Multiple Uncertainties for Autonomous Driving, a benchmark for multiple uncertainty types and tasks
2022/03/02 by Franchi, Gianni, Yu, Xuanlong, Bursuc, Andrei +5 · 1 citation
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- Towards Understanding and Quantifying Uncertainty for Text-to-Image Generation
2024/12/04 by Gianni Franchi, Franchi, Gianni, Dat Nguyen Trong +7 · 2 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Data Visualization and Analytics #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Explainability for Vision Foundation Models: A Survey
2025/01/21 by Rémi Kazmierczak, Kazmierczak, Rémi, Éloïse Berthier +5 · 3 citations
Business, Management and Accounting · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Organizational Management and Leadership
- Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on Regression
2023/08/17 by Xuanlong Yu, Gianni Franchi, Yu, Xuanlong +5 · 1 citation
Engineering · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Fault Detection and Control Systems #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Improving CLIP Robustness with Knowledge Distillation and Self-Training
2023/09/19 by Laroudie, Clement, Bursuc, Andrei, Ha, Mai Lan +1 · 1 citation
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimedia (cs.MM)
- Towards Understanding Why Label Smoothing Degrades Selective Classification and How to Fix It
2024/03/19 by Xia, Guoxuan, Laurent, Olivier, Franchi, Gianni +1 · 1 citation
#Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Collaborative Instance Object Navigation: Leveraging Uncertainty-Awareness to Minimize Human-Agent Dialogues
2024/12/02 by Francesco Taioli, Taioli, Francesco, Edoardo Zorzi +11 · 1 citation
Computer Science · #Speech and dialogue systems #Multi-Agent Systems and Negotiation #Semantic Web and Ontologies
- Ensembling Pruned Attention Heads For Uncertainty-Aware Efficient Transformers
2025/10/21 by Firas Gabetni, Giuseppe Curci, Gabetni, Firas +9 · 2 citations
Computer Science · #Adversarial Robustness in Machine Learning #Advanced Neural Network Applications #Explainable Artificial Intelligence (XAI)
- Torch-Uncertainty: A Deep Learning Framework for Uncertainty Quantification
2025/11/13 by Adrien Lafage, Olivier Laurent, Lafage, Adrien +5 · 1 citation
Engineering · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Fault Detection and Control Systems #Machine Learning (cs.LG)
- Benchmarking XAI Explanations with Human-Aligned Evaluations
2024/11/04 by Rémi Kazmierczak, Steve Azzolin, Kazmierczak, Rémi +20 · 1 citation
Computer Science · Decision Sciences · #Advanced Database Systems and Queries #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Scientific Computing and Data Management #Semantic Web and Ontologies