Developed a hybrid conformal prediction framework for quantum fidelity estimation that guarantees finite-sample coverage and maintains validity under model misspecification, offering a scalable approach for NISQ-era quantum device verification.
#QuantumFidelity #UncertaintyQuantification #Research
#QuantumFidelity #UncertaintyQuantification #Research
Uncertainty Quantification for Quantum Fidelity Estimation
iq.fp2.dev
November 3, 2026 at 2:42 PM
Developed a hybrid conformal prediction framework for quantum fidelity estimation that guarantees finite-sample coverage and maintains validity under model misspecification, offering a scalable approach for NISQ-era quantum device verification.
#QuantumFidelity #UncertaintyQuantification #Research
#QuantumFidelity #UncertaintyQuantification #Research
International Journal for Uncertainty Quantification covers uncertainty analysis, stochastic modeling, Bayesian computation & ML in multiscale systems across physical & biological sciences.
Submit: www.begellhouse.com/IJUQ
#IJUQ #CallForPapers #UncertaintyQuantification
Submit: www.begellhouse.com/IJUQ
#IJUQ #CallForPapers #UncertaintyQuantification
October 26, 2026 at 4:00 PM
International Journal for Uncertainty Quantification covers uncertainty analysis, stochastic modeling, Bayesian computation & ML in multiscale systems across physical & biological sciences.
Submit: www.begellhouse.com/IJUQ
#IJUQ #CallForPapers #UncertaintyQuantification
Submit: www.begellhouse.com/IJUQ
#IJUQ #CallForPapers #UncertaintyQuantification
International Journal for Uncertainty Quantification covers uncertainty analysis, stochastic modeling, Bayesian computation & ML in multiscale systems across physical & biological sciences.
Submit: www.begellhouse.com/IJUQ
#IJUQ #CallForPapers #UncertaintyQuantification
Submit: www.begellhouse.com/IJUQ
#IJUQ #CallForPapers #UncertaintyQuantification
October 26, 2026 at 4:00 PM
International Journal for Uncertainty Quantification covers uncertainty analysis, stochastic modeling, Bayesian computation & ML in multiscale systems across physical & biological sciences.
Submit: www.begellhouse.com/IJUQ
#IJUQ #CallForPapers #UncertaintyQuantification
Submit: www.begellhouse.com/IJUQ
#IJUQ #CallForPapers #UncertaintyQuantification
An uncertainty-aware framework bridges ICU patient risk prediction and staffing decisions by accounting for forecast variance and operational constraints like shift rigidity. The approach translates probabilistic…
#AIHealthcare #UncertaintyQuantification #MLOps
https://arxiv.org/abs/2610.25530
#AIHealthcare #UncertaintyQuantification #MLOps
https://arxiv.org/abs/2610.25530
October 20, 2026 at 2:01 PM
An uncertainty-aware framework bridges ICU patient risk prediction and staffing decisions by accounting for forecast variance and operational constraints like shift rigidity. The approach translates probabilistic…
#AIHealthcare #UncertaintyQuantification #MLOps
https://arxiv.org/abs/2610.25530
#AIHealthcare #UncertaintyQuantification #MLOps
https://arxiv.org/abs/2610.25530
New arXiv work introduces "mechanistic uncertainty" for LLMs, measuring internal mechanism stability via a causal robustness margin using Jacobian Lens steering vectors across three open-source…
#OpenSourceAI #LLMResearch #UncertaintyQuantification #AIAlignment
https://arxiv.org/abs/2610.22636
#OpenSourceAI #LLMResearch #UncertaintyQuantification #AIAlignment
https://arxiv.org/abs/2610.22636
October 19, 2026 at 12:01 PM
New arXiv work introduces "mechanistic uncertainty" for LLMs, measuring internal mechanism stability via a causal robustness margin using Jacobian Lens steering vectors across three open-source…
#OpenSourceAI #LLMResearch #UncertaintyQuantification #AIAlignment
https://arxiv.org/abs/2610.22636
#OpenSourceAI #LLMResearch #UncertaintyQuantification #AIAlignment
https://arxiv.org/abs/2610.22636
If you care about reliable probabilistic forecasts rather than just point predictions, this is the library to watch (and use).
Docs: nixtlaverse.nixtla.i...
#TimeSeries #Forecasting #ConformalPrediction #UncertaintyQuantification #OpenSource #Nixtla
Docs: nixtlaverse.nixtla.i...
#TimeSeries #Forecasting #ConformalPrediction #UncertaintyQuantification #OpenSource #Nixtla
conformalforecast - Nixtla
Adaptive conformal prediction intervals for time series forecasting
nixtlaverse.nixtla.io
October 17, 2026 at 1:01 PM
If you care about reliable probabilistic forecasts rather than just point predictions, this is the library to watch (and use).
Docs: nixtlaverse.nixtla.i...
#TimeSeries #Forecasting #ConformalPrediction #UncertaintyQuantification #OpenSource #Nixtla
Docs: nixtlaverse.nixtla.i...
#TimeSeries #Forecasting #ConformalPrediction #UncertaintyQuantification #OpenSource #Nixtla
A new AI framework teaches neural networks to recognise when they encounter unfamiliar cancer subtypes—preventing overconfident mi…
#Artificialintelligence #Cancerdiagnosis #MedicalAI #Oncology #Uncertaintyquantification
#Artificialintelligence #Cancerdiagnosis #MedicalAI #Oncology #Uncertainty…
#Artificialintelligence #Cancerdiagnosis #MedicalAI #Oncology #Uncertaintyquantification
#Artificialintelligence #Cancerdiagnosis #MedicalAI #Oncology #Uncertainty…
AI Framework Improves Cancer Diagnosis Reliability
A new AI framework teaches neural networks to recognise when they encounter unfamiliar cancer subtypes—preventing overconfident mi…
#Artificialintelligence #Cancerdiagnosis #MedicalAI #Oncology #Uncertaintyquantification
news.gmj.ge
October 9, 2026 at 11:26 PM
A new AI framework teaches neural networks to recognise when they encounter unfamiliar cancer subtypes—preventing overconfident mi…
#Artificialintelligence #Cancerdiagnosis #MedicalAI #Oncology #Uncertaintyquantification
#Artificialintelligence #Cancerdiagnosis #MedicalAI #Oncology #Uncertainty…
#Artificialintelligence #Cancerdiagnosis #MedicalAI #Oncology #Uncertaintyquantification
#Artificialintelligence #Cancerdiagnosis #MedicalAI #Oncology #Uncertainty…
New arXiv work systematically studies how deep sequence models like RNNs and Transformers can be used in conformal prediction for time series, aiming to deliver reliable uncertainty…
#ConformalPrediction #TimeSeries #DeepLearning #UncertaintyQuantification
https://arxiv.org/abs/2610.02357
#ConformalPrediction #TimeSeries #DeepLearning #UncertaintyQuantification
https://arxiv.org/abs/2610.02357
October 5, 2026 at 10:00 PM
New arXiv work systematically studies how deep sequence models like RNNs and Transformers can be used in conformal prediction for time series, aiming to deliver reliable uncertainty…
#ConformalPrediction #TimeSeries #DeepLearning #UncertaintyQuantification
https://arxiv.org/abs/2610.02357
#ConformalPrediction #TimeSeries #DeepLearning #UncertaintyQuantification
https://arxiv.org/abs/2610.02357
New arXiv paper proposes practical elicitation procedures to measure how much imprecision a user tolerates in set-valued classifiers, tested on tabular and image benchmarks.
#SetValuedClassifiers #MachineLearning #UncertaintyQuantification #AIResearch
https://arxiv.org/abs/2609.33352
#SetValuedClassifiers #MachineLearning #UncertaintyQuantification #AIResearch
https://arxiv.org/abs/2609.33352
September 30, 2026 at 12:01 AM
New arXiv paper proposes practical elicitation procedures to measure how much imprecision a user tolerates in set-valued classifiers, tested on tabular and image benchmarks.
#SetValuedClassifiers #MachineLearning #UncertaintyQuantification #AIResearch
https://arxiv.org/abs/2609.33352
#SetValuedClassifiers #MachineLearning #UncertaintyQuantification #AIResearch
https://arxiv.org/abs/2609.33352
New mathematical tools to analyze intensity statistics are presented and their effectiveness is demonstrated through the often underappreciated process of uncertainty analysis #UncertaintyQuantification #ErrorCalibration #SerialCrystallography doi.org/10.1107/S205...
May 29, 2025 at 8:27 AM
New mathematical tools to analyze intensity statistics are presented and their effectiveness is demonstrated through the often underappreciated process of uncertainty analysis #UncertaintyQuantification #ErrorCalibration #SerialCrystallography doi.org/10.1107/S205...
David W. Mittan-Moreau et al.: Robust error calibration for serial crystallography ##UncertaintyQuantification##ErrorCalibration##SerialCrystallography... ##IUCrhttps://journals.iucr.org/paper?S2059798325002852
Robust error calibration for serial crystallography
We present a new error-calibration algorithm for reflection intensities in serial crystallography. We reformulate the mathematical basis of the problem and apply different levels of uncertainty to each observed lattice corresponding to its measurement accuracy. These uncertainties are more consistent with theoretical expectations than the Ev11 error-calibration algorithm previously implemented in cctbx.xfel.merge.
journals.iucr.org
April 30, 2025 at 12:00 AM
David W. Mittan-Moreau et al.: Robust error calibration for serial crystallography ##UncertaintyQuantification##ErrorCalibration##SerialCrystallography... ##IUCrhttps://journals.iucr.org/paper?S2059798325002852
⚛️Great new #MLST article on ‘Evidential #DeepLearning for #UncertaintyQuantification and #AnomalyDetection in Jet Identification’
From University of Illinois Urbana-Champaign researchers @markneubauer.bsky.social
Paper ➡️http://bit.ly/3TMiu8A
#MachineLearningScienceandTechnology #machinelearning
From University of Illinois Urbana-Champaign researchers @markneubauer.bsky.social
Paper ➡️http://bit.ly/3TMiu8A
#MachineLearningScienceandTechnology #machinelearning
July 18, 2025 at 10:07 AM
⚛️Great new #MLST article on ‘Evidential #DeepLearning for #UncertaintyQuantification and #AnomalyDetection in Jet Identification’
From University of Illinois Urbana-Champaign researchers @markneubauer.bsky.social
Paper ➡️http://bit.ly/3TMiu8A
#MachineLearningScienceandTechnology #machinelearning
From University of Illinois Urbana-Champaign researchers @markneubauer.bsky.social
Paper ➡️http://bit.ly/3TMiu8A
#MachineLearningScienceandTechnology #machinelearning
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
www.mdpi.com/2673-9984/12...
By Fabrice Pautot
From the MaxEnt 2024
#BayesianInference #UncertaintyQuantification
November 17, 2025 at 11:29 AM
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
www.mdpi.com/2673-9984/12...
By Fabrice Pautot
From the MaxEnt 2024
#BayesianInference #UncertaintyQuantification
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
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
January 12, 2026 at 11:02 AM
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
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
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...
Health economic models are used for various analyses to inform decision makers including govt agencies (NICE), research funders and pharma companies...
January 6, 2026 at 7:50 PM
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...
Health economic models are used for various analyses to inform decision makers including govt agencies (NICE), research funders and pharma companies...
A study finds that simple direct prompting gives clearer confidence signals in argumentative language models, outperforming Bayesian and ensemble methods. Read more: https://getnews.me/prompting-improves-uncertainty-quantification-in-argumentative-llms/ #uncertaintyquantification #argumentativellms
October 6, 2025 at 4:22 AM
A study finds that simple direct prompting gives clearer confidence signals in argumentative language models, outperforming Bayesian and ensemble methods. Read more: https://getnews.me/prompting-improves-uncertainty-quantification-in-argumentative-llms/ #uncertaintyquantification #argumentativellms
💻 Code: github.com/PedrV/gnn-uq...
📄 Preprint: arxiv.org/abs/2605.22593
Co-authored w/ @pedrocvieira.bsky.social & Pedro Ribeiro.
#MachineLearning #GraphNeuralNetworks #DeepLearning #UncertaintyQuantification #GeometricDeepLearning
📄 Preprint: arxiv.org/abs/2605.22593
Co-authored w/ @pedrocvieira.bsky.social & Pedro Ribeiro.
#MachineLearning #GraphNeuralNetworks #DeepLearning #UncertaintyQuantification #GeometricDeepLearning
GitHub - PedrV/gnn-uq-inspector
Contribute to PedrV/gnn-uq-inspector development by creating an account on GitHub.
github.com
May 25, 2026 at 11:15 AM
💻 Code: github.com/PedrV/gnn-uq...
📄 Preprint: arxiv.org/abs/2605.22593
Co-authored w/ @pedrocvieira.bsky.social & Pedro Ribeiro.
#MachineLearning #GraphNeuralNetworks #DeepLearning #UncertaintyQuantification #GeometricDeepLearning
📄 Preprint: arxiv.org/abs/2605.22593
Co-authored w/ @pedrocvieira.bsky.social & Pedro Ribeiro.
#MachineLearning #GraphNeuralNetworks #DeepLearning #UncertaintyQuantification #GeometricDeepLearning
International Journal for Uncertainty Quantification #JCR2026 metrics:
📈 Impact Factor: 1.6
📊 CiteScore: 3.4
🏆 Q1 in Scopus for Control and Optimization
Thank you to our editors, reviewers, and authors!
www.begellhouse.com/journals/unc...
#IJUQ #UncertaintyQuantification #AppliedMath
📈 Impact Factor: 1.6
📊 CiteScore: 3.4
🏆 Q1 in Scopus for Control and Optimization
Thank you to our editors, reviewers, and authors!
www.begellhouse.com/journals/unc...
#IJUQ #UncertaintyQuantification #AppliedMath
July 2, 2026 at 3:30 PM
International Journal for Uncertainty Quantification #JCR2026 metrics:
📈 Impact Factor: 1.6
📊 CiteScore: 3.4
🏆 Q1 in Scopus for Control and Optimization
Thank you to our editors, reviewers, and authors!
www.begellhouse.com/journals/unc...
#IJUQ #UncertaintyQuantification #AppliedMath
📈 Impact Factor: 1.6
📊 CiteScore: 3.4
🏆 Q1 in Scopus for Control and Optimization
Thank you to our editors, reviewers, and authors!
www.begellhouse.com/journals/unc...
#IJUQ #UncertaintyQuantification #AppliedMath
International Journal for Uncertainty Quantification covers uncertainty in complex systems—stochastic modeling, Bayesian computation, ML & multiscale methods.
Learn more: www.begellhouse.com/IJUQ
#IJUQ #CallForPapers #UncertaintyQuantification
Learn more: www.begellhouse.com/IJUQ
#IJUQ #CallForPapers #UncertaintyQuantification
June 1, 2026 at 4:00 PM
International Journal for Uncertainty Quantification covers uncertainty in complex systems—stochastic modeling, Bayesian computation, ML & multiscale methods.
Learn more: www.begellhouse.com/IJUQ
#IJUQ #CallForPapers #UncertaintyQuantification
Learn more: www.begellhouse.com/IJUQ
#IJUQ #CallForPapers #UncertaintyQuantification
International Journal for Uncertainty Quantification achieved a 1.8 impact factor in Clarivate's 2025 JCR (+0.3 from last year). A special thanks to our editorial board, authors & reviewers for making it possible!
#ImpactFactor #ScholComm #Research #UncertaintyQuantification #JCR2025
#ImpactFactor #ScholComm #Research #UncertaintyQuantification #JCR2025
August 21, 2025 at 1:41 PM
International Journal for Uncertainty Quantification achieved a 1.8 impact factor in Clarivate's 2025 JCR (+0.3 from last year). A special thanks to our editorial board, authors & reviewers for making it possible!
#ImpactFactor #ScholComm #Research #UncertaintyQuantification #JCR2025
#ImpactFactor #ScholComm #Research #UncertaintyQuantification #JCR2025
International Journal for Uncertainty Quantification #JCR2026 metrics:
📈 Impact Factor: 1.6
📊 CiteScore: 3.4
🏆 Q1 in Scopus for Control and Optimization
Thank you to our editors, reviewers, and authors!
www.begellhouse.com/journals/unc...
#IJUQ #UncertaintyQuantification #AppliedMath
📈 Impact Factor: 1.6
📊 CiteScore: 3.4
🏆 Q1 in Scopus for Control and Optimization
Thank you to our editors, reviewers, and authors!
www.begellhouse.com/journals/unc...
#IJUQ #UncertaintyQuantification #AppliedMath
July 2, 2026 at 3:30 PM
International Journal for Uncertainty Quantification #JCR2026 metrics:
📈 Impact Factor: 1.6
📊 CiteScore: 3.4
🏆 Q1 in Scopus for Control and Optimization
Thank you to our editors, reviewers, and authors!
www.begellhouse.com/journals/unc...
#IJUQ #UncertaintyQuantification #AppliedMath
📈 Impact Factor: 1.6
📊 CiteScore: 3.4
🏆 Q1 in Scopus for Control and Optimization
Thank you to our editors, reviewers, and authors!
www.begellhouse.com/journals/unc...
#IJUQ #UncertaintyQuantification #AppliedMath
International Journal for Uncertainty Quantification covers uncertainty in complex systems—stochastic modeling, Bayesian computation, ML & multiscale methods.
Learn more: www.begellhouse.com/IJUQ
#IJUQ #CallForPapers #UncertaintyQuantification
Learn more: www.begellhouse.com/IJUQ
#IJUQ #CallForPapers #UncertaintyQuantification
June 1, 2026 at 4:00 PM
International Journal for Uncertainty Quantification covers uncertainty in complex systems—stochastic modeling, Bayesian computation, ML & multiscale methods.
Learn more: www.begellhouse.com/IJUQ
#IJUQ #CallForPapers #UncertaintyQuantification
Learn more: www.begellhouse.com/IJUQ
#IJUQ #CallForPapers #UncertaintyQuantification
📊 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
Accelerating optimization under uncertainty. Revolutionary ensemble filtering. Novel Bayesian frameworks.
Read: www.dl.begellhouse.com/journals/520...
#UncertaintyQuantification
January 26, 2026 at 6:44 PM
📊 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
Accelerating optimization under uncertainty. Revolutionary ensemble filtering. Novel Bayesian frameworks.
Read: www.dl.begellhouse.com/journals/520...
#UncertaintyQuantification
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
www.dl.begellhouse.com/journals/520...
#UncertaintyQuantification
October 17, 2025 at 3:28 PM
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
www.dl.begellhouse.com/journals/520...
#UncertaintyQuantification