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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 22 of 24: papers 2,101 to 2,200 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.

• SleepTransformer: Automatic Sleep Staging with Interpretability and Uncertainty Quantification
  23 May 2021 0 repositories listed
• Covariance-Free Sparse Bayesian Learning
  21 May 2021 0 repositories listed
• Laplace Redux - Effortless Bayesian Deep Learning
  21 May 2021 0 repositories listed
• Scalable Quasi-Bayesian Inference for Instrumental Variable Regression
  21 May 2021 0 repositories listed
• Valuation of European Options under an Uncertain Market Price of Volatility Risk
  20 May 2021 0 repositories listed
• Interval Deep Learning for Uncertainty Quantification in Safety Applications
  13 May 2021 0 repositories listed
• Bayesian Deep Neural Networks for Supervised Learning of Single-View Depth
  29 Apr 2021 0 repositories listed
• System identification using Bayesian neural networks with nonparametric noise models
  25 Apr 2021 0 repositories listed
• Bayesian Numerical Methods for Nonlinear Partial Differential Equations
  22 Apr 2021 0 repositories listed
• Bayesian subset selection and variable importance for interpretable prediction and classification
  20 Apr 2021 0 repositories listed
• I Find Your Lack of Uncertainty in Computer Vision Disturbing
  16 Apr 2021 0 repositories listed
• High-Dimensional Uncertainty Quantification via Tensor Regression with Rank Determination and Adaptive Sampling
  31 Mar 2021 0 repositories listed
• Universal Prediction Band via Semi-Definite Programming
  31 Mar 2021 0 repositories listed
• Simultaneous Reconstruction and Uncertainty Quantification for Tomography
  29 Mar 2021 0 repositories listed
• Accurate and Reliable Forecasting using Stochastic Differential Equations
  28 Mar 2021 0 repositories listed
• Bayesian Imaging With Data-Driven Priors Encoded by Neural Networks: Theory, Methods, and Algorithms
  18 Mar 2021 0 repositories listed
• Decision Theoretic Bootstrapping
  18 Mar 2021 0 repositories listed
• The Influence of Dropout on Membership Inference in Differentially Private Models
  16 Mar 2021 0 repositories listed
• Data-driven method for real-time prediction and uncertainty quantification of fatigue failure under stochastic loading using artificial neural networks and Gaussian process regression
  11 Mar 2021 0 repositories listed
• A data-driven epidemic model with social structure for understanding the COVID-19 infection on a heavily affected Italian Province
  10 Mar 2021 0 repositories listed
• Non-asymptotic Confidence Intervals of Off-policy Evaluation: Primal and Dual Bounds
  9 Mar 2021 0 repositories listed
• Bayesian Dynamical System Identification With Unified Sparsity Priors And Model Uncertainty
  8 Mar 2021 0 repositories listed
• Distribution-free uncertainty quantification for classification under label shift
  4 Mar 2021 0 repositories listed
• A Kernel Framework to Quantify a Model's Local Predictive Uncertainty under Data Distributional Shifts
  2 Mar 2021 0 repositories listed
• Uncertainty Quantification by Ensemble Learning for Computational Optical Form Measurements
  1 Mar 2021 0 repositories listed
• Learning Prediction Intervals for Regression: Generalization and Calibration
  26 Feb 2021 0 repositories listed
• MUSBO: Model-based Uncertainty Regularized and Sample Efficient Batch Optimization for Deployment Constrained Reinforcement Learning
  23 Feb 2021 0 repositories listed
• Nonintrusive Uncertainty Quantification for automotive crash problems with VPS/Pamcrash
  15 Feb 2021 0 repositories listed
• DeepGLEAM: A hybrid mechanistic and deep learning model for COVID-19 forecasting
  12 Feb 2021 0 repositories listed
• STUaNet: Understanding uncertainty in spatiotemporal collective human mobility
  9 Feb 2021 0 repositories listed
• Relational Dynamic Bayesian Network Modeling for Uncertainty Quantification and Propagation in Airline Disruption Management
  9 Feb 2021 0 repositories listed
• Advanced Stationary and Non-Stationary Kernel Designs for Domain-Aware Gaussian Processes
  5 Feb 2021 0 repositories listed
• Uncertainty quantification and exploration-exploitation trade-off in humans
  5 Feb 2021 0 repositories listed
• Gaussian Experts Selection using Graphical Models
  2 Feb 2021 0 repositories listed
• Bayesian data-driven discovery of partial differential equations with variable coefficients
  2 Feb 2021 0 repositories listed
• Ensemble learning and iterative training (ELIT) machine learning: applications towards uncertainty quantification and automated experiment in atom-resolved microscopy
  21 Jan 2021 0 repositories listed
• Autonomous synthesis of metastable materials
  19 Jan 2021 0 repositories listed
• Deep neural network surrogates for non-smooth quantities of interest in shape uncertainty quantification
  18 Jan 2021 0 repositories listed
• A Novel Cluster Classify Regress Model Predictive Controller Formulation; CCR-MPC
  15 Jan 2021 0 repositories listed
• Parameter inference in a computational model of hemodynamics in pulmonary hypertension
  15 Jan 2021 0 repositories listed
• Bayesian neural networks for weak solution of PDEs with uncertainty quantification
  13 Jan 2021 0 repositories listed
• Scaling Up Bayesian Uncertainty Quantification for Inverse Problems using Deep Neural Networks
  11 Jan 2021 0 repositories listed
• Bayesian Learning to Optimize: Quantifying the Optimizer Uncertainty
  1 Jan 2021 0 repositories listed
• Conditional Coverage Estimation for High-quality Prediction Intervals
  1 Jan 2021 0 repositories listed
• DynaTune: Dynamic Tensor Program Optimization in Deep Neural Network Compilation
  1 Jan 2021 0 repositories listed
• Meta-Learning Bayesian Neural Network Priors Based on PAC-Bayesian Theory
  1 Jan 2021 0 repositories listed
• Variational Deterministic Uncertainty Quantification
  1 Jan 2021 0 repositories listed
• An Algorithm for Sensor Data Uncertainty Quantification
  27 Dec 2020 0 repositories listed
• An Active Learning Method for Diabetic Retinopathy Classification with Uncertainty Quantification
  24 Dec 2020 0 repositories listed
• Probabilistic Iterative Methods for Linear Systems
  23 Dec 2020 0 repositories listed
• Uncertainty Bounds for Multivariate Machine Learning Predictions on High-Strain Brittle Fracture
  23 Dec 2020 0 repositories listed
• Objective Evaluation of Deep Uncertainty Predictions for COVID-19 Detection
  22 Dec 2020 0 repositories listed
• Alternating linear scheme in a Bayesian framework for low-rank tensor approximation
  21 Dec 2020 0 repositories listed
• Multi-fidelity Bayesian Neural Networks: Algorithms and Applications
  19 Dec 2020 0 repositories listed
• Uncertainty Quantification in Case of Imperfect Models: A Review
  17 Dec 2020 0 repositories listed
• Asymptotic normality and confidence intervals for derivatives of 2-layers neural network in the random features model
  1 Dec 2020 0 repositories listed
• Non-reversible Gaussian processes for identifying latent dynamical structure in neural data
  1 Dec 2020 0 repositories listed
• A Backward SDE Method for Uncertainty Quantification in Deep Learning
  28 Nov 2020 0 repositories listed
• Bayesian Triplet Loss: Uncertainty Quantification in Image Retrieval
  25 Nov 2020 0 repositories listed
• Uncertainty Estimation and Calibration with Finite-State Probabilistic RNNs
  24 Nov 2020 0 repositories listed
• Application of Deep Learning-based Interpolation Methods to Nearshore Bathymetry
  19 Nov 2020 0 repositories listed
• Theory-guided Auto-Encoder for Surrogate Construction and Inverse Modeling
  17 Nov 2020 0 repositories listed
• Fast Uncertainty Quantification for Deep Object Pose Estimation
  16 Nov 2020 0 repositories listed
• Efficient Data Association and Uncertainty Quantification for Multi-Object Tracking
  13 Nov 2020 0 repositories listed
• A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges
  12 Nov 2020 0 repositories listed
• (f,Γ)-Divergences: Interpolating between f-Divergences and Integral Probability Metrics
  11 Nov 2020 0 repositories listed
• Invertible Neural Networks for Uncertainty Quantification in Photoacoustic Imaging
  10 Nov 2020 0 repositories listed
• Uncertainty Quantification in Extreme Learning Machine: Analytical Developments, Variance Estimates and Confidence Intervals
  3 Nov 2020 0 repositories listed
• Uncertainty Quantification of Darcy Flow through Porous Media using Deep Gaussian Process
  3 Nov 2020 0 repositories listed
• Reweighting samples under covariate shift using a Wasserstein distance criterion
  19 Oct 2020 0 repositories listed
• Emulator-based global sensitivity analysis for flow-like landslide run-out models
  8 Oct 2020 0 repositories listed
• Physics-constrained Bayesian inference of state functions in classical density-functional theory
  7 Oct 2020 0 repositories listed
• Active Inference or Control as Inference? A Unifying View
  1 Oct 2020 0 repositories listed
• A robustness measure for singular point and index estimation in discretized orientation and vector fields
  30 Sep 2020 0 repositories listed
• Metrics for Benchmarking and Uncertainty Quantification: Quality, Applicability, and a Path to Best Practices for Machine Learning in Chemistry
  30 Sep 2020 0 repositories listed
• BayesAdapter: Being Bayesian, Inexpensively and Robustly, via Bayesian Fine-tuning
  28 Sep 2020 0 repositories listed
• Dynamic graph and polynomial chaos based models for contact tracing data analysis and optimal testing prescription
  10 Sep 2020 0 repositories listed
• Automatic selection of basis-adaptive sparse polynomial chaos expansions for engineering applications
  10 Sep 2020 0 repositories listed
• Improved Trainable Calibration Method for Neural Networks on Medical Imaging Classification
  9 Sep 2020 0 repositories listed
• Mutual Information for Explainable Deep Learning of Multiscale Systems
  7 Sep 2020 0 repositories listed
• Uncertainty quantification for Markov Random Fields
  31 Aug 2020 0 repositories listed
• Doubly Stochastic Variational Inference for Neural Processes with Hierarchical Latent Variables
  21 Aug 2020 0 repositories listed
• Bayesian neural networks and dimensionality reduction
  18 Aug 2020 0 repositories listed
• Data-Informed Decomposition for Localized Uncertainty Quantification of Dynamical Systems
  14 Aug 2020 0 repositories listed
• Machine Learning for Robust Identification of Complex Nonlinear Dynamical Systems: Applications to Earth Systems Modeling
  12 Aug 2020 0 repositories listed
• Uncertainty Quantification of Locally Nonlinear Dynamical Systems using Neural Networks
  11 Aug 2020 0 repositories listed
• Evaluating probabilistic classifiers: Reliability diagrams and score decompositions revisited
  7 Aug 2020 0 repositories listed
• Investigating maximum likelihood based training of infinite mixtures for uncertainty quantification
  7 Aug 2020 0 repositories listed
• A review of deep learning in medical imaging: Imaging traits, technology trends, case studies with progress highlights, and future promises
  2 Aug 2020 0 repositories listed
• Real-Time Uncertainty Estimation in Computer Vision via Uncertainty-Aware Distribution Distillation
  31 Jul 2020 0 repositories listed
• Self-Powered Solar Aerial Vehicles: Towards Infinite Endurance UAVs
  24 Jul 2020 0 repositories listed
• Semi Conditional Variational Auto-Encoder for Flow Reconstruction and Uncertainty Quantification from Limited Observations
  19 Jul 2020 0 repositories listed
• A Distributionally Robust Approach to Fair Classification
  18 Jul 2020 0 repositories listed
• Estimation and uncertainty quantification for piecewise smooth signal recovery
  17 Jul 2020 0 repositories listed
• 3D CNN-PCA: A Deep-Learning-Based Parameterization for Complex Geomodels
  16 Jul 2020 0 repositories listed
• Faster Uncertainty Quantification for Inverse Problems with Conditional Normalizing Flows
  15 Jul 2020 0 repositories listed
• Deep composition of tensor-trains using squared inverse Rosenblatt transports
  14 Jul 2020 0 repositories listed
• Uncertainty Quantification in Deep Residual Neural Networks
  9 Jul 2020 0 repositories listed
• Evaluating Uncertainty Estimation Methods on 3D Semantic Segmentation of Point Clouds
  3 Jul 2020 0 repositories listed
• A Perspective on Gaussian Processes for Earth Observation
  2 Jul 2020 0 repositories listed