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Srinath Srinivasan

North Carolina State University - Department of Computer Science

PhD Student

Campus Box 8206, 890 Oval Drive

Engineering Building II

Raleigh, NC 27695

United States

SCHOLARLY PAPERS

1

DOWNLOADS

62

TOTAL CITATIONS

0

Scholarly Papers (1)

1.

Efficient Monte-Carlo Dropout for Uncertainty Quantification

Number of pages: 4 Posted: 03 Oct 2025 Last Revised: 06 Oct 2025
Srinath Srinivasan
North Carolina State University - Department of Computer Science
Downloads 62 (980,173)

Abstract:

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Uncertainty, Machine Learning, Weight, Monte Carlo, Uncertainty Quantification, Efficient, ML, DL