Benchmarking uncertainty quantification for protein engineering. by Kevin P Greenman, Ava P Amini, Kevin K Yang

“…While studies have benchmarked a variety of deep learning uncertainty quantification (UQ) methods on standard and molecular machine-learning datasets, it is not clear if these results extend to protein datasets. …”
Get full text

Uncertainty quantification for overshoots of tipping thresholds by K. Lux-Gottschalk, P. D. L. Ritchie, P. D. L. Ritchie

“…In this work, we explore how such uncertainties propagate to uncertainties in the probability of tipping in response to a temporary overshoot from the perspective of uncertainty quantification. We show the importance of constraining uncertainty in the location of the tipping threshold and the linear restoring force to the system’s stable state to better constrain the uncertainty in the tipping behaviour for overshoot trajectories. …”
Get full text

Comprehensive Uncertainty Quantification in Nuclear Safeguards by E. Bonner, T. Burr, T. Krieger, K. Martin, C. Norman

“…Statistical analyses used to support these conclusions require uncertainty quantification (UQ), usually by estimating the relative standard deviation (RSD) in random and systematic errors associated with each measurement method. …”
Get full text

Uncertainty quantification in modeling HIV viral mechanics by H. T. Banks, Robert Baraldi, Karissa Cross, Kevin Flores, Christina McChesney, Laura Poag, Emma Thorpe

Subjects: Get full text

Parameter estimation and uncertainty quantification for an epidemic model by Alex Capaldi, Samuel Behrend, Benjamin Berman, Jason Smith, Justin Wright, Alun L. Lloyd

Get full text

Mamba time series forecasting with uncertainty quantification by Pedro Pessoa, Paul Campitelli, Douglas P Shepherd, S Banu Ozkan, Steve Pressé

Subjects: “…uncertainty quantification…”
Get full text

Response Surface Method for Material Uncertainty Quantification of Infrastructures by Mohammad Amin Hariri-Ardebili, S. Mahdi Seyed-Kolbadi, Mohammad Noori

“…Results confirm the high accuracy of proposed technique in material uncertainty quantification.…”
Get full text

Uncertainty quantification for neural network potential foundation models by Jenna A. Bilbrey, Jesun S. Firoz, Mal-Soon Lee, Sutanay Choudhury

“…In this work, we detail two uncertainty quantification (UQ) methods. Readout ensembling, by finetuning the readout layers of an ensemble of foundation models, provides information about model uncertainty, while quantile regression, by replacing point predictions with distributional predictions, provides information about uncertainty within the underlying training data. …”
Get full text

Conformal prediction for uncertainty quantification in dynamic biological systems. by Alberto Portela, Julio R Banga, Marcos Matabuena

“…Uncertainty quantification (UQ) is the process of systematically determining and characterizing the degree of confidence in computational model predictions. …”
Get full text

Auto-BUQ: Uncertainty Quantification for the Boundaries of Segmented Events by Jue Wang, Vinay L. Kashyap, Thomas C. M. Lee, David A. van Dyk, Andreas Zezas

Get full text

Uncertainty quantification for misspecified machine learned interatomic potentials by Danny Perez, Aparna P. A. Subramanyam, Ivan Maliyov, Thomas D. Swinburne

Get full text

Calibration and uncertainty quantification for deep learning-based drought detection by Mengxue Zhang, Miguel-Ángel Fernández-Torres, Kai-Hendrik Cohrs, Gustau Camps-Valls

Subjects: Get full text

Enhancing uncertainty quantification in drug discovery with censored regression labels by Emma Svensson, Hannah Rosa Friesacher, Susanne Winiwarter, Lewis Mervin, Adam Arany, Ola Engkvist

Subjects: “…Uncertainty quantification…”
Get full text

Uncertainty quantification with Bayesian higher order ReLU-KANs by J Giroux, C Fanelli

Subjects: Get full text

Uncertainty quantification with graph neural networks for efficient molecular design by Lung-Yi Chen, Yi-Pei Li

“…This study integrates uncertainty quantification (UQ), directed message passing neural networks (D-MPNNs), and genetic algorithms (GAs) to address these challenges. …”
Get full text

Uncertainty quantification of CT regularized reconstruction within the Bayesian framework by Negin Khoeiniha, Patricio Guerrero, Wim Dewulf

“…Given our interest in the uncertainty Quantification (UQ) of CT reconstruction, we employ statistical methods within the Bayesian framework for solving this inverse problem. …”
Get full text

A Two-Step Approach to Uncertainty Quantification of Core Simulators by Artem Yankov, Benjamin Collins, Markus Klein, Matthew A. Jessee, Winfried Zwermann, Kiril Velkov, Andreas Pautz, Thomas Downar

Get full text

Uncertainty Quantification and Sensitivity Analysis of Transonic Aerodynamics with Geometric Uncertainty by Xiaojing Wu, Weiwei Zhang, Shufang Song

“…Airfoil geometric uncertainty can generate aerodynamic characteristics fluctuations. Uncertainty quantification is applied to compute its impact on the aerodynamic characteristics. …”
Get full text

Uncertainty Quantification in Industrial Risk Assessment for Practical Decision-making by Nelly Olivier-Maget, Thibaud De Barnier, Florent Bourgeois, Nadine Gabas

Get full text

Editorial: Uncertainty quantification and model validation in space weather modeling by Nithin Sivadas, Nithin Sivadas, Norah Kaggwa Kwagala, Nishtha Sachdeva, Qusai Al Shidi

Get full text