David Widmann

I am a PhD student at the Division of Systems and Control within the Department of Information Technology and the Centre for Interdisciplinary Mathematics in Uppsala, supervised by Fredrik Lindsten, Dave Zachariah, and Erik Sjöblom. The main focus of my PhD studies is uncertainty-aware deep learning. Currently, I am particularly interested in analyzing and evaluating calibration of probabilistic models. Please visit my webpage for more information.

My GitHub profile provides an overview of my contributions to the Julia ecosystem. Currently, I am a member of the steering council of SciML and the Turing team.


12:30 UTC

Calibration analysis of probabilistic models in Julia

07/30/2021, 12:30 PM1:00 PM UTC

Calibrated probabilistic models ensure that predictions are consistent with empirically observed outcomes, and hence such models provide reliable uncertainty estimates for decision-making. This is particularly important in safety-critical applications. We present Julia packages for analyzing calibration of general probabilistic predictive models, beyond commonly studied classification models. Additionally, our framework allows to perform statistical hypothesis testing of calibration.

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Julia Computing

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Relational AI

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Invenia LabsConningPumas AIQuEra Computing Inc.King Abdullah University of Science and TechnologyDataChef.coJeffrey Sarnoff

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