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Pasteur Labs (United States)

United States

2 papers here222 citations across 2
fields
  • cs.LG2
ROR 053wdmf37OpenAlex

affiliations via OpenAlex

most citedTechnology Readiness Levels for Machine Learning Systems

189 citations

researchers with a paper here
  • Alexander Lavin2 · h 15
  • Adam Gibson1 · h 2
  • A. G. Baydin1 · h 18
  • Ajay Sharma1 · h 16
  • Alessya Visnjic1 · h 1
  • Ciarán M. Gilligan-Lee1 · h 8
  • C. Mattmann1 · h 26
  • Dava Newman1 · h 10
  • D. Lange1 · h 19
  • E. Xing1 · h 112
  • James Parr1 · h 4
  • J. Gawlikowski1 · h 8
collaborating institutions
  • Carnegie Mellon UniversityUS1 paper
  • Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)DE1 paper
  • Jet Propulsion LaboratoryUS1 paper
  • Massachusetts Institute of TechnologyUS1 paper
  • Microsoft Research (India)IN1 paper
  • Nvidia (United States)US1 paper
  • Salesforce (United States)US1 paper
  • The Alan Turing InstituteGB1 paper
  • Unity Biotechnology (United States)US1 paper
  • University College LondonGB1 paper
  • University of OxfordGB1 paper

2 papers

cs.LG2022★ 33 cited

The Unreasonable Effectiveness of Deep Evidential Regression

Nis Meinert, Jakob Gawlikowski, Alexander Lavin

There is a significant need for principled uncertainty reasoning in machine learning systems as they are increasingly deployed in safety-critical domains. A new approach with uncer…

cs.LG2021★ 189 cited

Technology Readiness Levels for Machine Learning Systems

Alexander Lavin, Ciarán M. Gilligan-Lee, Alessya Visnjic +12

The development and deployment of machine learning (ML) systems can be executed easily with modern tools, but the process is typically rushed and means-to-an-end. The lack of dilig…

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