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52:09
YouTube
Simons Foundation
Charlotte Peale: Uncertainty Quantification Beyond Calibration (February 5, 2026)
Calibration has emerged as a standard approach to uncertainty quantification, providing valuable insights into model reliability. However, for modern machine learning, calibration exhibits two fundamental limitations that restrict its utility: 1. Inability to decompose uncertainty: Calibration fails to distinguish between epistemic uncertainty ...
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A better way for workshop calibration with Beamex CENTRiCAL CENTRiCAL is a high-accuracy workshop calibration solution that provides accurate measurements and low calibration uncertainty. All relevant modules are delivered with a calibration certificate, ensuring your calibrations are traceable. Learn more: https://hubs.la/Q02tr7gr0 #beamex #beamexcalibration #calibration #calibrationbench #workshop #workshopcalibration | Beamex
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