◍wovepaper
SearchResearchersInstitutions
Sign in
institution

HeartFlow (United States)

United States

7 papers here92 citations across 7
fields
  • cs.CV3
  • eess.IV3
  • stat.ML1
ROR 0301tkm88OpenAlex

affiliations via OpenAlex

output
20172025
most citedImplicit Weight Uncertainty in Neural Networks

64 citations

researchers with a paper here
  • Ben Glocker4 · h 62
  • M. Schaap4 · h 32
  • A. Schuh2 · h 27
  • Bernhard Kainz2 · h 42
  • D. Rueckert2 · h 130
  • E. Edelman2 · h 89
  • F. Nezami2 · h 15
  • Karim Kadry2 · h 6
  • O. Oktay2 · h 39
  • A. Alansary1 · h 24
  • Abhishek Karmakar1 · h 4
  • Andrew P. King1 · h 3
collaborating institutions
  • Imperial College LondonGB3 papers
  • Brigham and Women's HospitalUS2 papers
  • King's College LondonGB2 papers
  • Onze Lieve Vrouwziekenhuis HospitalBE2 papers
  • British Heart FoundationGB1 paper
  • Cornell UniversityUS1 paper
  • Guy's and St Thomas' NHS Foundation TrustGB1 paper
  • Harvard UniversityUS1 paper
  • Heriot-Watt UniversityGB1 paper
  • IIT@MITUS1 paper
  • Institut national de recherche en sciences et technologies du numériqueFR1 paper
  • Karolinska InstitutetSE1 paper
Showing stat.MLShow all

1 paper · 1 filter

stat.ML2017★ 64 cited

Implicit Weight Uncertainty in Neural Networks

Nick Pawlowski, Andrew Brock, Matthew C. H. Lee +2

Modern neural networks tend to be overconfident on unseen, noisy or incorrectly labelled data and do not produce meaningful uncertainty measures. Bayesian deep learning aims to add…

◍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.