◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Paul Hofman

10 papers hereh-index 6110 citations12 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author4
  • middle author5

Across the 9 of 10 papers where every author was matched, so the position is known.

fields
  • cs.LG9
  • stat.ML1

identity via Semantic Scholar / OpenAlex

activity
20222026
most citedQuantifying Aleatoric and Epistemic Uncertainty in Machine Learning: Are Conditional Entropy and Mutual Information Appropriate Measures?

11 citations · 14 across the 9 of their papers we have counts for

collaborators
Showing 2026Show all

1 paper · 1 filter

cs.LG2026

Efficient Credal Prediction through Decalibration

Paul Hofman, Timo Löhr, Maximilian Muschalik +2

A reliable representation of uncertainty is essential for the application of modern machine learning methods in safety-critical settings. In this regard, the use of credal sets (i.…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.