Interpretable Uncertainty

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This video is part of the Introduction to ML Safety course ( and was recorded by Dan Hendrycks at the ... This talk is part of the Scientific Machine Learning Research Talks (SMaRT) Seminar Series, a joint initiative between Johns ... In this work, we address the point cloud registration problem, where well-known methods like ICP fail under A surprising fact about modern large language models is that nobody really knows how they work internally. At Anthropic, the ... Christoph Molnar is one of the main people to know in the space of Authors: Rémi Marsal; Florian Chabot; Angélique Loesch; William Grolleau; Hichem Sahbi Description: Self-supervised ...

Machine/Deep learning models have been revolutionary in the last decade across a range of fields. However, sometimes we ... Invited talk at the Big Insight center for research-based innovation on explainable artificial intelligence. Javier Antorán is a Ph.D. student at the University of Cambridge. His research interests include Bayesian deep learning, ... Published at ICRA 2022 ( In this work, We propose f-Cal, a variational calibration method to obtain ... While understanding and trusting models and their results is a hallmark of good (data) science, model What's happening inside an AI model as it thinks? Why are AI models sycophantic, and why do they hallucinate? Are AI models ...

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Human-Interpretable Uncertainty Explanationsfor Point Cloud Registration
What is interpretability?
#047 Interpretable Machine Learning - Christoph Molnar
Prof. Asher Lawson - Psychologically interpretable differences in decision making under uncertainty
A Roadmap for the Rigorous Science of Interpretability | Finale Doshi-Velez | Talks at Google
MonoProb: Self-Supervised Monocular Depth Estimation With Interpretable Uncertainty
Uncertainty (Aleatoric vs Epistemic) | Machine Learning
Uncertainty and interpretability in deep learning-based support systems for medical data
Mojtaba Farmanbar - Uncertainty quantification: How much can you trust your machine learning model?
Rsqrd AI - Javier Antorán - Beyond Feature Importance: Explaining Uncertainty Estimates
f-Cal - Aleatoric uncertainty quantification for robot perception via calibrated neural regression
Uncertainty Estimation for Language Reward Models (in 5 min)

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Last Updated: May 21, 2026

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Interpretable Uncertainty

Interpretable Uncertainty

This video is part of the Introduction to ML Safety course (https://course.mlsafety.org) and was recorded by Dan Hendrycks at the ...

Editorial 23:37 3,772 views 26 Februari 2026

Interpretable rules for resilient reef futures with SIRUS

Interpretable rules for resilient reef futures with SIRUS

Interpretable

Editorial 15:17 2 views 11 Mei 2026

DDPS | Interpretable, Explainable and Non-Intrusive Uncertainty Propagation by Alice Cicirello

DDPS | Interpretable, Explainable and Non-Intrusive Uncertainty Propagation by Alice Cicirello

Title:

Editorial 1:02:17 660 views 23 Oktober 2025

Interpretable priors for Bayesian Neural Networks through IFT | Alex Alberts | JHU-IITD SMaRT

Interpretable priors for Bayesian Neural Networks through IFT | Alex Alberts | JHU-IITD SMaRT

This talk is part of the Scientific Machine Learning Research Talks (SMaRT) Seminar Series, a joint initiative between Johns ...

Editorial 57:26 55 views 27 Mei 2025

Human-Interpretable Uncertainty Explanationsfor Point Cloud Registration

Human-Interpretable Uncertainty Explanationsfor Point Cloud Registration

In this work, we address the point cloud registration problem, where well-known methods like ICP fail under

Editorial 2:44 67 views 19 Juli 2025

What is interpretability?

What is interpretability?

A surprising fact about modern large language models is that nobody really knows how they work internally. At Anthropic, the ...

Editorial 3:53 50,558 views 03 Februari 2026

#047 Interpretable Machine Learning - Christoph Molnar

#047 Interpretable Machine Learning - Christoph Molnar

Christoph Molnar is one of the main people to know in the space of

Editorial 1:40:22 15,592 views 28 Juni 2025

Prof. Asher Lawson - Psychologically interpretable differences in decision making under uncertainty

Prof. Asher Lawson - Psychologically interpretable differences in decision making under uncertainty

Existing models of decision making under

Editorial 57:24 39 views 04 Maret 2026

A Roadmap for the Rigorous Science of Interpretability | Finale Doshi-Velez | Talks at Google

A Roadmap for the Rigorous Science of Interpretability | Finale Doshi-Velez | Talks at Google

With a growing interest in

Editorial 54:35 6,667 views 20 April 2026

MonoProb: Self-Supervised Monocular Depth Estimation With Interpretable Uncertainty

MonoProb: Self-Supervised Monocular Depth Estimation With Interpretable Uncertainty

Authors: Rémi Marsal; Florian Chabot; Angélique Loesch; William Grolleau; Hichem Sahbi Description: Self-supervised ...

Editorial 5:33 53 views 02 Januari 2026

Uncertainty (Aleatoric vs Epistemic) | Machine Learning

Uncertainty | Machine Learning

Machine/Deep learning models have been revolutionary in the last decade across a range of fields. However, sometimes we ...

Editorial 10:18 14,816 views 13 Mei 2026

Uncertainty and interpretability in deep learning-based support systems for medical data

Uncertainty and interpretability in deep learning-based support systems for medical data

Invited talk at the Big Insight center for research-based innovation on explainable artificial intelligence.

Editorial 36:43 93 views 06 Desember 2025

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

Editorial 31:25 1,463 views 03 Agustus 2025

Rsqrd AI - Javier Antorán - Beyond Feature Importance: Explaining Uncertainty Estimates

Rsqrd AI - Javier Antorán - Beyond Feature Importance: Explaining Uncertainty Estimates

Javier Antorán is a Ph.D. student at the University of Cambridge. His research interests include Bayesian deep learning, ...

Editorial 56:57 408 views 17 Mei 2026

f-Cal - Aleatoric uncertainty quantification for robot perception via calibrated neural regression

f-Cal - Aleatoric uncertainty quantification for robot perception via calibrated neural regression

Published at ICRA 2022 (https://icra2022.org/), In this work, We propose f-Cal, a variational calibration method to obtain ...

Editorial 4:01 60 views 08 Juli 2025

Uncertainty Estimation for Language Reward Models (in 5 min)

Uncertainty Estimation for Language Reward Models

https://arxiv.org/abs/2203.07472 A short video on what the above paper discusses: -

Editorial 5:26 158 views 13 Juli 2025

Multi-Fidelity Machine Learning for Uncertainty Quantification | Dr. S. De | JHU-IITD SMaRT Seminar

Multi-Fidelity Machine Learning for Uncertainty Quantification | Dr. S. De | JHU-IITD SMaRT Seminar

This talk is part of the Scientific Machine Learning Research Talks (SMaRT) Seminar Series, a joint initiative between Johns ...

Editorial 1:05:36 173 views 21 Oktober 2025

Interpretable Machine Learning

Interpretable Machine Learning

While understanding and trusting models and their results is a hallmark of good (data) science, model

Editorial 1:16:43 7,901 views 06 Februari 2026

Interpretability: Understanding how AI models think

Interpretability: Understanding how AI models think

What's happening inside an AI model as it thinks? Why are AI models sycophantic, and why do they hallucinate? Are AI models ...

Editorial 59:03 356,313 views 24 Juli 2025