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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 21 of 24: papers 2,001 to 2,100 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.

• Aligned Multi-Task Gaussian Process
  29 Oct 2021 0 repositories listed
• Data-driven Uncertainty Quantification in Computational Human Head Models
  29 Oct 2021 0 repositories listed
• Probabilistic Autoencoder using Fisher Information
  28 Oct 2021 0 repositories listed
• Locally Differentially Private Bayesian Inference
  27 Oct 2021 0 repositories listed
• A deep learning driven pseudospectral PCE based FFT homogenization algorithm for complex microstructures
  26 Oct 2021 0 repositories listed
• AutoDEUQ: Automated Deep Ensemble with Uncertainty Quantification
  26 Oct 2021 0 repositories listed
• Uncertainty quantification in a mechanical submodel driven by a Wasserstein-GAN
  26 Oct 2021 0 repositories listed
• Quantifying Epistemic Uncertainty in Deep Learning
  23 Oct 2021 0 repositories listed
• Conditional Variational Autoencoder for Learned Image Reconstruction
  22 Oct 2021 0 repositories listed
• Merging Two Cultures: Deep and Statistical Learning
  22 Oct 2021 0 repositories listed
• Probabilistic ODE Solutions in Millions of Dimensions
  22 Oct 2021 0 repositories listed
• Uncertainty Quantification For Low-Rank Matrix Completion With Heterogeneous and Sub-Exponential Noise
  22 Oct 2021 0 repositories listed
• Centroid Approximation for Bootstrap: Improving Particle Quality at Inference
  17 Oct 2021 0 repositories listed
• Extracting Dynamical Models from Data
  13 Oct 2021 0 repositories listed
• Is MC Dropout Bayesian?
  8 Oct 2021 0 repositories listed
• Uncertainty Quantification in LV State Estimation Under High Shares of Flexible Resources
  8 Oct 2021 0 repositories listed
• Uncertainty quantification in the Bradley-Terry-Luce model
  8 Oct 2021 0 repositories listed
• An Uncertainty-aware Loss Function for Training Neural Networks with Calibrated Predictions
  7 Oct 2021 0 repositories listed
• Robustness and Reliability When Training With Noisy Labels
  7 Oct 2021 0 repositories listed
• Uncertainty-aware GAN with Adaptive Loss for Robust MRI Image Enhancement
  7 Oct 2021 0 repositories listed
• Residual Overfit Method of Exploration
  6 Oct 2021 0 repositories listed
• Δ-UQ: Accurate Uncertainty Quantification via Anchor Marginalization
  5 Oct 2021 0 repositories listed
• Hierarchical Gaussian Process Models for Regression Discontinuity/Kink under Sharp and Fuzzy Designs
  3 Oct 2021 0 repositories listed
• Lagrangian Inference for Ranking Problems
  1 Oct 2021 0 repositories listed
• Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How
  29 Sep 2021 0 repositories listed
• Distribution-Driven Disjoint Prediction Intervals for Deep Learning
  29 Sep 2021 0 repositories listed
• Evaluating Predictive Distributions: Does Bayesian Deep Learning Work?
  29 Sep 2021 0 repositories listed
• Function-Space Variational Inference for Deep Bayesian Classification
  29 Sep 2021 0 repositories listed
• Learning to Estimate Epistemic Uncertainty in Neural Networks
  29 Sep 2021 0 repositories listed
• MURO: Deployment Constrained Reinforcement Learning with Model-based Uncertainty Regularized Batch Optimization
  29 Sep 2021 0 repositories listed
• Particle Based Stochastic Policy Optimization
  29 Sep 2021 0 repositories listed
• Provably Calibrated Regression Under Distribution Drift
  29 Sep 2021 0 repositories listed
• UNCERTAINTY QUANTIFICATION USING VARIATIONAL INFERENCE FOR BIOMEDICAL IMAGE SEGMENTATION
  29 Sep 2021 0 repositories listed
• Grassmannian diffusion maps based surrogate modeling via geometric harmonics
  28 Sep 2021 0 repositories listed
• A neural multilevel method for high-dimensional parametric PDEs
  27 Sep 2021 0 repositories listed
• Bayesian deep learning of affordances from RGB images
  27 Sep 2021 0 repositories listed
• Uncertainty quantification in covid-19 spread: lockdown effects
  25 Sep 2021 0 repositories listed
• Bayesian non-parametric non-negative matrix factorization for pattern identification in environmental mixtures
  24 Sep 2021 0 repositories listed
• Accurate Remaining Useful Life Prediction with Uncertainty Quantification: a Deep Learning and Nonstationary Gaussian Process Approach
  23 Sep 2021 0 repositories listed
• Remaining useful life prediction with uncertainty quantification: development of a highly accurate model for rotating machinery
  23 Sep 2021 0 repositories listed
• A Physics inspired Functional Operator for Model Uncertainty Quantification in the RKHS
  22 Sep 2021 0 repositories listed
• A Data-Driven Uncertainty Quantification Method for Stochastic Economic Dispatch
  16 Sep 2021 0 repositories listed
• Assessments of epistemic uncertainty using Gaussian stochastic weight averaging for fluid-flow regression
  16 Sep 2021 0 repositories listed
• Machine-Learned HASDM Model with Uncertainty Quantification
  16 Sep 2021 0 repositories listed
• Beyond Glass-Box Features: Uncertainty Quantification Enhanced Quality Estimation for Neural Machine Translation
  15 Sep 2021 0 repositories listed
• DROMO: Distributionally Robust Offline Model-based Policy Optimization
  15 Sep 2021 0 repositories listed
• Uncertainty Quantification in Medical Image Segmentation with Multi-decoder U-Net
  15 Sep 2021 0 repositories listed
• A framework for benchmarking uncertainty in deep regression
  10 Sep 2021 0 repositories listed
• AdjointNet: Constraining machine learning models with physics-based codes
  8 Sep 2021 0 repositories listed
• Uncertainty Quantification and Experimental Design for Large-Scale Linear Inverse Problems under Gaussian Process Priors
  8 Sep 2021 0 repositories listed
• Stochastic Neural Radiance Fields: Quantifying Uncertainty in Implicit 3D Representations
  5 Sep 2021 0 repositories listed
• Deep Learning with Uncertainty Quantification for Predicting the Segmentation Dice Coefficient of Prostate Cancer Biopsy Images
  31 Aug 2021 0 repositories listed
• Uncertainty quantification for multiclass data description
  29 Aug 2021 0 repositories listed
• Physics-Informed Deep Learning: A Promising Technique for System Reliability Assessment
  24 Aug 2021 0 repositories listed
• Teaching Uncertainty Quantification in Machine Learning through Use Cases
  19 Aug 2021 0 repositories listed
• Neural density estimation and uncertainty quantification for laser induced breakdown spectroscopy spectra
  17 Aug 2021 0 repositories listed
• Uncertainty quantification for industrial design using dictionaries of reduced order models
  9 Aug 2021 0 repositories listed
• A variational Bayesian spatial interaction model for estimating revenue and demand at business facilities
  5 Aug 2021 0 repositories listed
• Out-of-Domain Generalization from a Single Source: An Uncertainty Quantification Approach
  5 Aug 2021 0 repositories listed
• Statistical Analysis of Wasserstein Distributionally Robust Estimators
  4 Aug 2021 0 repositories listed
• Accelerating Markov Random Field Inference with Uncertainty Quantification
  2 Aug 2021 0 repositories listed
• Lyapunov-based uncertainty-aware safe reinforcement learning
  29 Jul 2021 0 repositories listed
• Nonparametric posterior learning for emission tomography with multimodal data
  29 Jul 2021 0 repositories listed
• Quantifying Uncertainty for Machine Learning Based Diagnostic
  29 Jul 2021 0 repositories listed
• Uncertainty-Aware Credit Card Fraud Detection Using Deep Learning
  28 Jul 2021 0 repositories listed
• Subset selection for linear mixed models
  27 Jul 2021 0 repositories listed
• An Uncertainty-Aware Deep Learning Framework for Defect Detection in Casting Products
  24 Jul 2021 0 repositories listed
• Ensemble-based Uncertainty Quantification: Bayesian versus Credal Inference
  21 Jul 2021 0 repositories listed
• Responsible and Regulatory Conform Machine Learning for Medicine: A Survey of Challenges and Solutions
  20 Jul 2021 0 repositories listed
• Compressed particle methods for expensive models with application in Astronomy and Remote Sensing
  18 Jul 2021 0 repositories listed
• Differentially Private Bayesian Neural Networks on Accuracy, Privacy and Reliability
  18 Jul 2021 0 repositories listed
• Model Uncertainty and Correctability for Directed Graphical Models
  17 Jul 2021 0 repositories listed
• Tracing Halpha Fibrils through Bayesian Deep Learning
  16 Jul 2021 0 repositories listed
• Uncertainty Prediction for Machine Learning Models of Material Properties
  16 Jul 2021 0 repositories listed
• HOMRS: High Order Metamorphic Relations Selector for Deep Neural Networks
  10 Jul 2021 0 repositories listed
• L2M: Practical posterior Laplace approximation with optimization-driven second moment estimation
  9 Jul 2021 0 repositories listed
• Explainable AI (XAI) for PHM of Industrial Asset: A State-of-The-Art, PRISMA-Compliant Systematic Review
  8 Jul 2021 0 repositories listed
• MD-split+: Practical Local Conformal Inference in High Dimensions
  7 Jul 2021 0 repositories listed
• Evaluating subgroup disparity using epistemic uncertainty in mammography
  6 Jul 2021 0 repositories listed
• A Consistency-Based Loss for Deep Odometry Through Uncertainty Propagation
  1 Jul 2021 0 repositories listed
• Uncertainty quantification of a thrombosis model considering the clotting assay PFA-100
  29 Jun 2021 0 repositories listed
• Active Learning with Multifidelity Modeling for Efficient Rare Event Simulation
  25 Jun 2021 0 repositories listed
• Bayesian Deep Learning Hyperparameter Search for Robust Function Mapping to Polynomials with Noise
  23 Jun 2021 0 repositories listed
• Patch-Based Image Restoration using Expectation Propagation
  18 Jun 2021 0 repositories listed
• Nonparametric Empirical Bayes Estimation and Testing for Sparse and Heteroscedastic Signals
  16 Jun 2021 0 repositories listed
• Linear-Time Probabilistic Solutions of Boundary Value Problems
  14 Jun 2021 0 repositories listed
• Spatial spread of COVID-19 outbreak in Italy using multiscale kinetic transport equations with uncertainty
  14 Jun 2021 0 repositories listed
• Learning Functional Priors and Posteriors from Data and Physics
  8 Jun 2021 0 repositories listed
• BayesIMP: Uncertainty Quantification for Causal Data Fusion
  7 Jun 2021 0 repositories listed
• Meta-Learning Reliable Priors in the Function Space
  6 Jun 2021 0 repositories listed
• Can convolutional ResNets approximately preserve input distances? A frequency analysis perspective
  4 Jun 2021 0 repositories listed
• Learning particle swarming models from data with Gaussian processes
  4 Jun 2021 0 repositories listed
• Investigation of Uncertainty of Deep Learning-based Object Classification on Radar Spectra
  1 Jun 2021 0 repositories listed
• Sparse Uncertainty Representation in Deep Learning with Inducing Weights
  30 May 2021 0 repositories listed Syntology 4 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 1 violated, 0 with no contract checked; 3 where Syntology's instrument failed) · 4 unverified (of 8 harvested samples)
• Classification and Uncertainty Quantification of Corrupted Data using Semi-Supervised Autoencoders
  27 May 2021 0 repositories listed
• Deep Ensembles from a Bayesian Perspective
  27 May 2021 0 repositories listed
• Inferring power system dynamics from synchrophasor data using Gaussian processes
  26 May 2021 0 repositories listed
• Bridging the Gap Between Explainable AI and Uncertainty Quantification to Enhance Trustability
  25 May 2021 0 repositories listed
• Calibration and Uncertainty Quantification of Bayesian Convolutional Neural Networks for Geophysical Applications
  25 May 2021 0 repositories listed
• Uncertainty quantification for distributed regression
  24 May 2021 0 repositories listed

Syntology lines on 1 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced; each line links to that paper's sample list. Syntology's record for this page has not changed since 2026-09-28, the first build that kept a record date for it; when this build read Syntology's graph is in the build record. For agents: get_harvested_code_for_paper(arxiv_id) lists each paper's samples; how to connect.