◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

J. Westhuizen

3 papers hereh-index 9376 citations14 works total

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

author position
  • first author2
  • middle author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • stat.ML2
  • cs.NE1

identity via Semantic Scholar / OpenAlex

most citedBayesian LSTMs in medicine

15 citations · 30 across the 2 of their papers we have counts for

collaborators

3 papers

cs.NE2018

The unreasonable effectiveness of the forget gate

Jos van der Westhuizen, Joan Lasenby

Given the success of the gated recurrent unit, a natural question is whether all the gates of the long short-term memory (LSTM) network are necessary. Previous research has shown t…

stat.ML2017★ 15 cited

Actively Learning what makes a Discrete Sequence Valid

David Janz, Jos van der Westhuizen, José Miguel Hernández-Lobato

Deep learning techniques have been hugely successful for traditional supervised and unsupervised machine learning problems. In large part, these techniques solve continuous optimiz…

stat.ML2017★ 15 cited

Bayesian LSTMs in medicine

Jos van der Westhuizen, Joan Lasenby

The medical field stands to see significant benefits from the recent advances in deep learning. Knowing the uncertainty in the decision made by any machine learning algorithm is of…

◍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.