Media Summary: This video is part of the 2025 Summer School @ Taiwan on nonstationary biomedical signal processing hosted by Professor ... Speaker: Florian Wilhelm Track:PyData There is a strong need in many AI applications to state the certainty about their predictions ... Neural networks are infamous for making wrong predictions with high confidence. Ideally, when a model encounters difficult ...

A Bit About Uncertainty Quantification - Detailed Analysis & Overview

This video is part of the 2025 Summer School @ Taiwan on nonstationary biomedical signal processing hosted by Professor ... Speaker: Florian Wilhelm Track:PyData There is a strong need in many AI applications to state the certainty about their predictions ... Neural networks are infamous for making wrong predictions with high confidence. Ideally, when a model encounters difficult ... Predictions from modeling and simulation (M&S) are increasingly relied upon to inform critical decision making in a variety of ... In this SEI Podcast, Dr. Eric Heim, a senior machine learning research scientist at the Software Engineering Institute at Carnegie ... Roger Ghanem is Professor of Civil and Environmental Engineering at the U of Southern California where he also holds the Tryon ...

Calibration has emerged as a standard approach to Presented by Lalitha Venkataramanan, Scientific Advisor at Schlumberger. Abstract: Deep learning techniques have been shown ...

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A bit about uncertainty quantification of synchrosqueezing transform, part 1
Florian Wilhelm: Are you sure about that?! Uncertainty Quantification in AI | PyData Berlin 2019
What is Uncertainty Quantification (UQ)?
Quantifying the Uncertainty in Model Predictions
What is Uncertainty Quantification?
Mini Tutorial 6:  An Introduction to Uncertainty Quantification for Modeling & Simulation
Why Use Uncertainty Quantification?
Uncertainty Quantification in Machine Learning: Measuring Confidence in Predictions
Mini -Tutorial 1: Introduction to Uncertainty Quantification
Charlotte Peale: Uncertainty Quantification Beyond Calibration (February 5, 2026)
Stefano Marelli: Metamodels for uncertainty quantification and reliability analysis
Mojtaba Farmanbar - Uncertainty quantification: How much can you trust your machine learning model?
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A bit about uncertainty quantification of synchrosqueezing transform, part 1

A bit about uncertainty quantification of synchrosqueezing transform, part 1

This video is part of the 2025 Summer School @ Taiwan on nonstationary biomedical signal processing hosted by Professor ...

Florian Wilhelm: Are you sure about that?! Uncertainty Quantification in AI | PyData Berlin 2019

Florian Wilhelm: Are you sure about that?! Uncertainty Quantification in AI | PyData Berlin 2019

Speaker: Florian Wilhelm Track:PyData There is a strong need in many AI applications to state the certainty about their predictions ...

What is Uncertainty Quantification (UQ)?

What is Uncertainty Quantification (UQ)?

A brief overview of

Quantifying the Uncertainty in Model Predictions

Quantifying the Uncertainty in Model Predictions

Neural networks are infamous for making wrong predictions with high confidence. Ideally, when a model encounters difficult ...

What is Uncertainty Quantification?

What is Uncertainty Quantification?

Implication of

Mini Tutorial 6:  An Introduction to Uncertainty Quantification for Modeling & Simulation

Mini Tutorial 6: An Introduction to Uncertainty Quantification for Modeling & Simulation

Predictions from modeling and simulation (M&S) are increasingly relied upon to inform critical decision making in a variety of ...

Why Use Uncertainty Quantification?

Why Use Uncertainty Quantification?

An overview of how

Uncertainty Quantification in Machine Learning: Measuring Confidence in Predictions

Uncertainty Quantification in Machine Learning: Measuring Confidence in Predictions

In this SEI Podcast, Dr. Eric Heim, a senior machine learning research scientist at the Software Engineering Institute at Carnegie ...

Mini -Tutorial 1: Introduction to Uncertainty Quantification

Mini -Tutorial 1: Introduction to Uncertainty Quantification

Roger Ghanem is Professor of Civil and Environmental Engineering at the U of Southern California where he also holds the Tryon ...

Charlotte Peale: Uncertainty Quantification Beyond Calibration (February 5, 2026)

Charlotte Peale: Uncertainty Quantification Beyond Calibration (February 5, 2026)

Calibration has emerged as a standard approach to

Stefano Marelli: Metamodels for uncertainty quantification and reliability analysis

Stefano Marelli: Metamodels for uncertainty quantification and reliability analysis

Abstract:

Mojtaba Farmanbar - Uncertainty quantification: How much can you trust your machine learning model?

Mojtaba Farmanbar - Uncertainty quantification: How much can you trust your machine learning model?

www.pydata.org

Lalitha Venkataramanan: "Uncertainty Quantification in Machine Learning" | IACS Seminar

Lalitha Venkataramanan: "Uncertainty Quantification in Machine Learning" | IACS Seminar

Presented by Lalitha Venkataramanan, Scientific Advisor at Schlumberger. Abstract: Deep learning techniques have been shown ...