Work

Uncertainty Quantifying Neural Network - Learning Uncertainty Estimates from Monte Carlo Dropout

Year: 2025

Type: conference-paper

Source: International Conference on Machine Learning Technologies (ICMLT)

DOI: 10.1109/icmlt65785.2025.11193351

Authors: Julius Wiggerthale, Christoph Reich, Martin Haimerl

Institution: Furtwangen University

Language: English

Topic: Adversarial Robustness in Machine Learning

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W4415125606

FWCI: 2.118

Cites:

Cited by: 2

Related to: