Detommaso, Gianluca

5 publications

MLOSS 2024 Fortuna: A Library for Uncertainty Quantification in Deep Learning Gianluca Detommaso, Alberto Gasparin, Michele Donini, Matthias Seeger, Andrew Gordon Wilson, Cedric Archambeau

ICML 2024 Multicalibration for Confidence Scoring in LLMs Gianluca Detommaso, Martin Andres Bertran, Riccardo Fogliato, Aaron Roth

ICLRW 2023 Explaining Multiclass Classifiers with Categorical Values: A Case Study in Radiography Luca Franceschi, Cemre Zor, Muhammad Bilal Zafar, Gianluca Detommaso, Cedric Archambeau, Tamas Madl, Michele Donini, Matthias Seeger

AAAI 2021 HINT: Hierarchical Invertible Neural Transport for Density Estimation and Bayesian Inference Jakob Kruse, Gianluca Detommaso, Ullrich Köthe, Robert Scheichl

NeurIPS 2018 A Stein Variational Newton Method Gianluca Detommaso, Tiangang Cui, Youssef Marzouk, Alessio Spantini, Robert Scheichl