Work

On the Calibration of Epistemic Uncertainty: Principles, Paradoxes and Conflictual Loss

Year: 2024

Type: conference-paper

Source: Lecture notes in computer science

DOI: 10.1007/978-3-031-70359-1_10

Authors: Mohammed Fellaji, Frédéric Pennerath, Brieuc Conan-Guez, Miguel Couceiro

Institutions: Centre National de la Recherche Scientifique, Université Paris-Saclay, CentraleSupélec, Laboratoire Lorrain de Recherche en Informatique et ses Applications, Université de Lorraine

Language: English

Topic: Adversarial Robustness in Machine Learning

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W4402010515

FWCI: 0.611

Cites: 16

Cited by: 4

Related to: 10