Web: http://arxiv.org/abs/2208.03284

Aug. 10, 2022, 1:11 a.m. | Thomas Y. Chen, Biprateep Dey, Aishik Ghosh, Michael Kagan, Brian Nord, Nesar Ramachandra

cs.LG updates on arXiv.org arxiv.org

Estimating uncertainty is at the core of performing scientific measurements
in HEP: a measurement is not useful without an estimate of its uncertainty. The
goal of uncertainty quantification (UQ) is inextricably linked to the question,
"how do we physically and statistically interpret these uncertainties?" The
answer to this question depends not only on the computational task we aim to
undertake, but also on the methods we use for that task. For artificial
intelligence (AI) applications in HEP, there are several …

ai arxiv quantification uncertainty

More from arxiv.org / cs.LG updates on arXiv.org

Research Scientists

@ ODU Research Foundation | Norfolk, Virginia

Embedded Systems Engineer (Robotics)

@ Neo Cybernetica | Bedford, New Hampshire

2023 Luis J. Alvarez and Admiral Grace M. Hopper Postdoc Fellowship in Computing Sciences

@ Lawrence Berkeley National Lab | San Francisco, CA

Senior Manager Data Scientist

@ NAV | Remote, US

Senior AI Research Scientist

@ Earth Species Project | Remote anywhere

Research Fellow- Center for Security and Emerging Technology (Multiple Opportunities)

@ University of California Davis | Washington, DC

Staff Fellow - Data Scientist

@ U.S. FDA/Center for Devices and Radiological Health | Silver Spring, Maryland

Staff Fellow - Senior Data Engineer

@ U.S. FDA/Center for Devices and Radiological Health | Silver Spring, Maryland

Machine Learning Data Engineer Intern (Jyoti Dharna)

@ Benson Hill | St. Louis, Missouri

Software Engineer / SDE I, Chime SDK Video Research Engineering

@ Amazon.com | East Palo Alto, California, USA

IND (New) Senior ML Ops Engineer - WiQ

@ Quantium | Hyderabad

Data Engineer

@ LendingTree | Remote