◍wovepaper
SearchResearchersInstitutions
Sign in
institution

Dyson (United Kingdom)

United Kingdom

24 papers here674 citations across 24
fields
  • cs.RO6
  • cs.HC5
  • cs.CV2
  • cond-mat.mes-hall1
  • cs.CL1
  • cs.CR1
  • cs.ET1
  • cs.LG1
ROR 00a4npp83OpenAlex

affiliations via OpenAlex

output
20162026
most citedLithium-ion battery degradation: how to model it

376 citations

researchers with a paper here
  • Nicolás Rojas4 · h 21
  • A. Clark3 · h 11
  • Andrew J. Davison2
  • C. Myant2 · h 26
  • D. Peters2 · h 24
  • F. Hong2 · h 4
  • Jingjing Sun2 · h 2
  • Nan Li2 profiles2 · h 19
  • R. Calvo2 · h 7
  • R. Shorten2 · h 46
  • Stefan Leutenegger2
  • Zhe-Yuan Zhang2 · h 3
collaborating institutions
  • Imperial College LondonGB24 papers
  • Carnegie Mellon UniversityUS1 paper
  • Centre de Recherche en InformatiqueFR1 paper
  • Centre National de la Recherche ScientifiqueFR1 paper
  • Chelsea and Westminster Hospital NHS Foundation TrustGB1 paper
  • CW+GB1 paper
  • Goldsmiths University of LondonGB1 paper
  • IBM Research - IrelandIE1 paper
  • IBM (United States)US1 paper
  • Indonesian Institute of SciencesID1 paper
  • Interaction Design (United Kingdom)GB1 paper
  • Laboratoire des signaux et systèmesFR1 paper
Showing cs.LGShow all

1 paper · 1 filter

cs.LG2026★ 6 cited

Optimal Transport for Efficient, Unsupervised Anomaly Detection on Industrial Data

Abigail Langbridge, Fearghal O'Donncha, James T Rayfield +1

Effective anomaly detection frameworks are a central pillar of the Industry 4.0 paradigm. In this paper, we introduce an Optimal Transport (OT)-based framework for anomaly detectio…

◍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.