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Uncertainty Quantification

Papers archive 2025-07-28

archive papers tagged: 2,366 · with a code link: 832 · where Syntology ran a sample: 220 (179 with a run with no instrument failure, 41 where every run was a failure of Syntology's instrument) Syntology

Show: all tagged papersonly where code ran (220 of 2,366 tagged: 179 with a run with no instrument failure, 41 where every run was a failure of Syntology's instrument)

Page 24 of 24: papers 2,301 to 2,366 of 2,366, in archive order: by repositories listed in the archive (most first), then newest first, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers that list no repository come after every paper that lists one.

Papers without a page here are shown as plain text. A Syntology line reads “N ran (of which C constructed an object rather than computing a result; K with no instrument failure: H honoured, V violated, P with no contract checked; I where Syntology's instrument failed) · U unverified”; the figure “where Syntology's instrument failed” counts failures of Syntology's instrument, not of the code. When the archive marks a repository official for the paper, the line starts with that repository's state (the archive's flag, not a verdict on who wrote the code); hover it for the repositories the samples that ran came from. Abstracts are on each paper's page.

• Data-driven Prognostics with Predictive Uncertainty Estimation using Ensemble of Deep Ordinal Regression Models
  23 Mar 2019 0 repositories listed
• Data Augmentation for Bayesian Deep Learning
  22 Mar 2019 0 repositories listed
• Latent Simplex Position Model: High Dimensional Multi-view Clustering with Uncertainty Quantification
  21 Mar 2019 0 repositories listed
• Uncertainty quantification of molecular property prediction with Bayesian neural networks
  20 Mar 2019 0 repositories listed
• On the Computation and Applications of Large Dense Partial Correlation Networks
  17 Mar 2019 0 repositories listed
• Crowd Counting with Decomposed Uncertainty
  15 Mar 2019 0 repositories listed
• Combined State and Parameter Estimation in Level-Set Methods
  1 Mar 2019 0 repositories listed
• UQ-CHI: An Uncertainty Quantification-Based Contemporaneous Health Index for Degenerative Disease Monitoring
  21 Feb 2019 0 repositories listed
• Predictive Uncertainty Quantification with Compound Density Networks
  4 Feb 2019 0 repositories listed
• Bayesian semi-supervised learning for uncertainty-calibrated prediction of molecular properties and active learning
  3 Feb 2019 0 repositories listed
• Uncertainty Quantification in Deep MRI Reconstruction
  31 Jan 2019 0 repositories listed
• Coupling the reduced-order model and the generative model for an importance sampling estimator
  23 Jan 2019 0 repositories listed
• Deep Learning for Ranking Response Surfaces with Applications to Optimal Stopping Problems
  11 Jan 2019 0 repositories listed
• Adaptive Activity Monitoring with Uncertainty Quantification in Switching Gaussian Process Models
  8 Jan 2019 0 repositories listed
• Deep learning electromagnetic inversion with convolutional neural networks
  26 Dec 2018 0 repositories listed
• Distribution-Free Uncertainty Quantification for Kernel Methods by Gradient Perturbations
  23 Dec 2018 0 repositories listed
• Extending classical surrogate modelling to high-dimensions through supervised dimensionality reduction: a data-driven approach
  15 Dec 2018 0 repositories listed
• Improved Calibration of Numerical Integration Error in Sigma-Point Filters
  28 Nov 2018 0 repositories listed
• Uncertainty quantification of molecular property prediction using Bayesian neural network models
  19 Nov 2018 0 repositories listed
• Quantifying Uncertainties in Natural Language Processing Tasks
  18 Nov 2018 0 repositories listed
• Evaluating Uncertainty Quantification in End-to-End Autonomous Driving Control
  16 Nov 2018 0 repositories listed
• Quantifying total uncertainty in physics-informed neural networks for solving forward and inverse stochastic problems
  21 Sep 2018 0 repositories listed
• Data-driven polynomial chaos expansion for machine learning regression
  9 Aug 2018 0 repositories listed
• Estimating Failure in Brittle Materials using Graph Theory
  30 Jul 2018 0 repositories listed
• Uncertainty Quantification in CNN-Based Surface Prediction Using Shape Priors
  30 Jul 2018 0 repositories listed
• Weak in the NEES?: Auto-tuning Kalman Filters with Bayesian Optimization
  23 Jul 2018 0 repositories listed
• Fully Nonparametric Bayesian Additive Regression Trees
  29 Jun 2018 0 repositories listed
• Deep Echo State Networks with Uncertainty Quantification for Spatio-Temporal Forecasting
  28 Jun 2018 0 repositories listed
• Neural-net-induced Gaussian process regression for function approximation and PDE solution
  22 Jun 2018 0 repositories listed
• A data-driven model order reduction approach for Stokes flow through random porous media
  21 Jun 2018 0 repositories listed
• Bayesian approach to model-based extrapolation of nuclear observables
  1 Jun 2018 0 repositories listed
• Probabilistic Riemannian submanifold learning with wrapped Gaussian process latent variable models
  23 May 2018 0 repositories listed
• Uncertainty quantification using Bayesian neural networks in classification: Application to ischemic stroke lesion segmentation
  10 Apr 2018 0 repositories listed
• Pseudo-marginal Bayesian inference for supervised Gaussian process latent variable models
  28 Mar 2018 0 repositories listed
• Dimension-Robust MCMC in Bayesian Inverse Problems
  9 Mar 2018 0 repositories listed
• Constraining the Dynamics of Deep Probabilistic Models
  15 Feb 2018 0 repositories listed
• HiGrad: Uncertainty Quantification for Online Learning and Stochastic Approximation
  13 Feb 2018 0 repositories listed
• Bayesian Deep Convolutional Encoder-Decoder Networks for Surrogate Modeling and Uncertainty Quantification
  21 Jan 2018 0 repositories listed
• Statistical Inference for the Population Landscape via Moment Adjusted Stochastic Gradients
  20 Dec 2017 0 repositories listed
• Mondrian Processes for Flow Cytometry Analysis
  21 Nov 2017 0 repositories listed
• A machine learning approach for efficient uncertainty quantification using multiscale methods
  12 Nov 2017 0 repositories listed
• An asymptotic analysis of distributed nonparametric methods
  8 Nov 2017 0 repositories listed
• Bayesian Recurrent Neural Network Models for Forecasting and Quantifying Uncertainty in Spatial-Temporal Data
  2 Nov 2017 0 repositories listed
• Sequential Design and Spatial Modeling for Portfolio Tail Risk Measurement
  14 Oct 2017 0 repositories listed
• An Ensemble Quadratic Echo State Network for Nonlinear Spatio-Temporal Forecasting
  16 Aug 2017 0 repositories listed
• Pairing an arbitrary regressor with an artificial neural network estimating aleatoric uncertainty
  23 Jul 2017 0 repositories listed
• Continuum Limit of Posteriors in Graph Bayesian Inverse Problems
  22 Jun 2017 0 repositories listed
• Bayesian multi--dipole localization and uncertainty quantification from simultaneous EEG and MEG recordings
  19 Jun 2017 0 repositories listed
• Uncertainty Quantification of Oscillation Suppression during DBS in a Coupled Finite Element and Network Model
  30 May 2017 0 repositories listed
• Machine learning for graph-based representations of three-dimensional discrete fracture networks
  27 May 2017 0 repositories listed
• Uncertainty quantification in graph-based classification of high dimensional data
  26 Mar 2017 0 repositories listed
• Perturb-and-MPM: Quantifying Segmentation Uncertainty in Dense Multi-Label CRFs
  1 Mar 2017 0 repositories listed
• Estimating the reproductive number, total outbreak size, and reporting rates for Zika epidemics in South and Central America
  27 Feb 2017 0 repositories listed
• Semi-parametric Network Structure Discovery Models
  27 Feb 2017 0 repositories listed
• Patchwork Kriging for Large-scale Gaussian Process Regression
  23 Jan 2017 0 repositories listed
• Fuzzy finite element model updating using metaheuristic optimization algorithms
  3 Jan 2017 0 repositories listed
• Spatial best linear unbiased prediction: A computational mathematics approach for high dimensional massive datasets
  1 Jan 2017 0 repositories listed
• Properties and Bayesian fitting of restricted Boltzmann machines
  4 Dec 2016 0 repositories listed
• A computational spectral approach to interest rate models
  25 Aug 2015 0 repositories listed
• Towards Machine Wald
  10 Aug 2015 0 repositories listed
• Variational Bayesian strategies for high-dimensional, stochastic design problems
  24 Jul 2015 0 repositories listed
• The Social Cost of Carbon with Economic and Climate Risks
  28 Apr 2015 0 repositories listed
• A Chaotic Dynamical System that Paints
  8 Apr 2015 0 repositories listed
• Robust Bayesian compressive sensing with data loss recovery for structural health monitoring signals
  28 Mar 2015 0 repositories listed
• Quantifying Uncertainty in Stochastic Models with Parametric Variability
  4 Mar 2015 0 repositories listed
• A Dictionary Approach to EBSD Indexing
  26 Feb 2015 0 repositories listed