Work

Pitfalls of Epistemic Uncertainty Quantification Through Loss Minimisation

Year: 2022

Type: conference-paper

Source: neural information processing systems

DOI: 10.52202/068431-2118

Authors: Viktor Bengs, Eyke Hüllermeier, Willem Waegeman

Language: English

Topic: Probabilistic and Robust Engineering Design

Subfield: Computational Mechanics

Field: Engineering

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W7133199676

FWCI: 3.974

Cites:

Cited by: 17

Related to: 10