#UncertaintyQuantification — Bluesky Posts

Begell Engineering Research

1 month ago

📊 Vol. 16, Issue 1 of International Journal for Uncertainty Quantification is out now!

Accelerating optimization under uncertainty. Revolutionary ensemble filtering. Novel Bayesian frameworks.

Read: www.dl.begellhouse.com/journals/520...

#UncertaintyQuantification

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@begellengineering.bsky.social

1 month ago

📊 Vol. 16, Issue 1 of International Journal for Uncertainty Quantification is out now!

Accelerating optimization under uncertainty. Revolutionary ensemble filtering. Novel Bayesian frameworks.

Read: www.dl.begellhouse.com/journals/520...

#UncertaintyQuantification

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Environmental Data Science

@envdatascience.bsky.social

2 months ago

New article!

Uncertainty quantification for deep learning

👉 https://bit.ly/49MlJpa
✍️ Peter Jan van Leeuwen, Jui-Yuan Christine Chiu & Chen-Kuang Kevin Yang (@csuatmossci.bsky.social)

Proposes a framework to improve consistency for #uncertaintyquantification in #deeplearning

#machinelearning

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Tristan Snowsill

@tmsnowsill.bsky.social

2 months ago

This would be a great PhD for anyone keen on #mathematics #statistics #CompSci #HealthEconomics #UncertaintyQuantification #UQ

Health economic models are used for various analyses to inform decision makers including govt agencies (NICE), research funders and pharma companies...

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@arxivlens.bsky.social

2 months ago

Autonomous Uncertainty Quantification for Computational Point-of-care Sensors
Artem Goncharov, Aydogan Ozcan et al.
Paper
Details
#AUC #POCsensors #uncertaintyquantification

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@arxivlens.bsky.social

2 months ago

Optimizing Decoding Paths in Masked Diffusion Models by Quantifying Uncertainty
Peng Sun, Tao Lin et al.
Paper
Details
#MaskedDiffusion #UncertaintyQuantification #DeepLearningResearch

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Journal of Machine Learning for Modeling and Computing

@proceedingsmdpi.bsky.social

2 months ago

220 citations: Essential roadmap for constrained GP regression. Learn to incorporate physical constraints (positivity, monotonicity, PDEs, boundary conditions) with practical implementation strategies.

📖 www.dl.begellhouse.com/journals/558...

#UncertaintyQuantification #DataEfficientML

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Proceedings Series MDPI

3 months ago

On Singular Bayesian Inference of Underdetermined Quantities—Part I: Invariant Discrete Ill-Posed Inverse Problems in Small and Large Dimensions
www.mdpi.com/2673-9984/12...

By Fabrice Pautot
From the MaxEnt 2024

#BayesianInference #UncertaintyQuantification

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@arxivlens.bsky.social

4 months ago

Joint Signal Recovery and Uncertainty Quantification via the Residual
Prior Transform
Anne Gelb, Yao Xiao
Paper
Details
#SignalRecovery #UncertaintyQuantification #ResidualPriorTransform

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Journal of Machine Learning for Modeling and Computing

Begell Engineering Research

4 months ago

Conditional Pseudo-Reversible Normalizing Flow for Surrogate Modeling in Quantifying Uncertainty Propagation

www.dl.begellhouse.com/journals/558...

#UncertaintyQuantification #NormalizingFlows #MachineLearningForScience

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@begellengineering.bsky.social

4 months ago

NEW ISSUE ALERT: Vol. 15, Issue 6 International Journal for Uncertainty Quantification is out! Multigrid meets Monte Carlo, Bayesian calibration for unseen outputs & operator learning that quantifies its own errors.

www.dl.begellhouse.com/journals/520...

#UncertaintyQuantification

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Journal of Machine Learning for Modeling and Computing

Journal of Machine Learning for Modeling and Computing

4 months ago

NEW ISSUE ALERT: Vol. 15, Issue 6 International Journal for Uncertainty Quantification is out! Multigrid meets Monte Carlo, Bayesian calibration for unseen outputs & operator learning that quantifies its own errors.

www.dl.begellhouse.com/journals/520...

#UncertaintyQuantification

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@marenostrumgroup.bsky.social

5 months ago

Concurrent, Condensed Stein Variational Gradient Descent for Uncertainty Quantification of Neural Networks

www.dl.begellhouse.com/journals/558...

#SteinVariationalInference #BayesianNeuralNetworks #UncertaintyQuantification

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Mare Nostrum Group

5 months ago

Uncertainty quantification is an important step in establishing the predictive accuracy of simulation models employed in a broad range of disciplines.

📚 mngbookshop.co.uk/978161197783...

Browse Mathematics: mngbookshop.co.uk/mng-subject-...

#UncertaintyQuantification #SIAM

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GetNews.me

@getnews-me.bsky.social

5 months ago

Prompting Improves Uncertainty Quantification in Argumentative LLMs

A study finds that simple direct prompting gives clearer confidence signals in argumentative language models, outperforming Bayesian and ensemble methods. Read more: getnews.me/prompting-improves-uncer... #uncertaintyquantification #argumentativellms

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Journal of Machine Learning for Modeling and Computing

5 months ago

Conformal Approach to Gaussian Process Surrogate Evaluation with Marginal Coverage Guarantees

www.dl.begellhouse.com/journals/558...

#MachineLearning #UncertaintyQuantification #BayesianMachineLearning

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6 months ago

Thanks to everyone who's supported the project so far!

#MachineLearning #ConformalPrediction #AI #TrustworthyAI #MLBooks #UncertaintyQuantification

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6 months ago

Let’s discuss how it’s shaping the future of trustworthy AI! 👇

#MachineLearning #AI #ConformalPrediction #AnomalyDetection #ResponsibleAI #UncertaintyQuantification

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6 months ago

Thanks to everyone who's supported the project so far!

#MachineLearning #ConformalPrediction #AI #TrustworthyAI #MLBooks #UncertaintyQuantification

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#ConformalPrediction #MachineLearning #OpenSource #DataScience #AI #UncertaintyQuantification

6 months ago

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6 months ago

Thanks to everyone who's supported the project so far!

#MachineLearning #ConformalPrediction #AI #TrustworthyAI #MLBooks #UncertaintyQuantification

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#MachineLearning #AI #ConformalPrediction #TrustworthyAI #UncertaintyQuantification

6 months ago

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