A Large-Scale Study of Probabilistic Calibration in Neural Network Regression. - Victor Dheur; Souhaib Ben Taieb (ICML, 2023)

Probabilistic Calibration by Design for Neural Network Regression. - Victor Dheur; Souhaib Ben Taieb (AISTATS, 2024)

Distribution-free conformal joint prediction regions for neural marked temporal point processes. - Victor Dheur; Tanguy Bosser; Rafael Izbicki; Souhaib Ben Taieb (Mach. Learn., 2024)

A Unified Comparative Study with Generalized Conformity Scores for Multi-Output Conformal Regression. - Victor Dheur; Matteo Fontana; Yorick Estievenart; Naomi Desobry; Souhaib Ben Taieb (CoRR, 2025)

Rectifying Conformity Scores for Better Conditional Coverage. - Vincent Plassier; Alexander Fishkov; Victor Dheur; Mohsen Guizani; Souhaib Ben Taieb; Maxim Panov; Eric Moulines (CoRR, 2025)

Multivariate Latent Recalibration for Conditional Normalizing Flows. - Victor Dheur; Souhaib Ben Taieb (CoRR, 2025)