Gianni Franchi

Venues

Frequent coauthors

Papers

1. Benchmarking XAI Explanations with Human-Aligned Evaluations
   AAAI 2026 ·

   Rémi Kazmierczak

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2. COOkeD: Ensemble-Based OOD Detection in the Era of Zero-Shot CLIP
   ICCV 2025 ·

   Galadrielle Humblot-Renaux

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3. Collaborative Instance Object Navigation: Leveraging Uncertainty-Awareness to Minimize Human-Agent Dialogues
   ICCV 2025 ·

   Francesco Taioli

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4. Double Descent Meets Out-of-Distribution Detection: Theoretical Insights and Empirical Analysis on the Role of Model Complexity
   NeurIPS 2025 ·

   Mouïn Ben Ammar

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5. Hierarchical Light Transformer Ensembles for Multimodal Trajectory Forecasting
   WACV 2025 ·

   Adrien Lafage

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6. Torch-Uncertainty: Deep Learning Uncertainty Quantification
   NeurIPS 2025 ·

   Adrien Lafage

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7. Towards Understanding Why Label Smoothing Degrades Selective Classification and How to Fix It
   ICLR 2025 ·

   Guoxuan Xia

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8. Towards Understanding and Quantifying Uncertainty for Text-to-Image Generation
   CVPR 2025 · Gianni Franchi
9. A Symmetry-Aware Exploration of Bayesian Neural Network Posteriors
   ICLR 2024 ·

   Olivier Laurent

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10. Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on Regression
    AAAI 2024 ·

    Xuanlong Yu

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11. Frustratingly Easy Test-Time Adaptation of Vision-Language Models
    NeurIPS 2024 ·

    Matteo Farina

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12. Make Me a BNN: A Simple Strategy for Estimating Bayesian Uncertainty from Pre-trained Models
    CVPR 2024 · Gianni Franchi
13. NECO: NEural Collapse Based Out-of-distribution detection
    ICLR 2024 ·

    Mouïn Ben Ammar

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14. Scaling for Training Time and Post-hoc Out-of-distribution Detection Enhancement
    ICLR 2024 ·

    Kai Xu

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