Gianni Franchi

9

Papers

119

Total Citations

Papers (9)

Scaling for Training Time and Post-hoc Out-of-distribution Detection Enhancement

NECO: NEural Collapse Based Out-of-distribution detection

Make Me a BNN: A Simple Strategy for Estimating Bayesian Uncertainty from Pre-trained Models

Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on Regression

Towards Understanding and Quantifying Uncertainty for Text-to-Image Generation

Collaborative Instance Object Navigation: Leveraging Uncertainty-Awareness to Minimize Human-Agent Dialogues

Torch-Uncertainty: Deep Learning Uncertainty Quantification

TRADI: Tracking Deep Neural network Weight Distributions

Latent Discriminant Deterministic Uncertainty