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researcher

Cristofer Englund

3 papers hereh-index 232.1k citations88 works total

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

author position
  • middle author3

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

fields
  • cs.LG1
  • cs.RO1
  • cs.SE1

identity via Semantic Scholar / OpenAlex

activity
20172019
most citedSafely Entering the Deep: A Review of Verification and Validation for Machine Learning and a Challenge Elicitation in the Automotive Industry

2 citations · 4 across the 3 of their papers we have counts for

collaborators

3 papers

cs.LG2019★ 2 cited

Towards Structured Evaluation of Deep Neural Network Supervisors

Jens Henriksson, Christian Berger, Markus Borg +4

Deep Neural Networks (DNN) have improved the quality of several non-safety related products in the past years. However, before DNNs should be deployed to safety-critical applicatio…

cs.SE2018★ 2 cited

Safely Entering the Deep: A Review of Verification and Validation for Machine Learning and a Challenge Elicitation in the Automotive Industry

Markus Borg, Cristofer Englund, Krzysztof Wnuk +7

Deep Neural Networks (DNN) will emerge as a cornerstone in automotive software engineering. However, developing systems with DNNs introduces novel challenges for safety assessments…

cs.RO2017

Exploring home robot capabilities by medium fidelity prototyping

Martin Cooney, Sepideh Pashami, Yuantao Fan +9

In order for autonomous robots to be able to support people's well-being in homes and everyday environments, new interactive capabilities will be required, as exemplified by the so…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.