Browse State-of-the-Art › Uncertainty Quantification › Papers, page 18

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 18 of 24: papers 1,701 to 1,800 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.

• Bayesian Spike Train Inference via Non-Local Priors
  27 May 2023 0 repositories listed
• USIM-DAL: Uncertainty-aware Statistical Image Modeling-based Dense Active Learning for Super-resolution
  27 May 2023 0 repositories listed
• Vecchia Gaussian Process Ensembles on Internal Representations of Deep Neural Networks
  26 May 2023 0 repositories listed
• Bayesian Analysis for Over-parameterized Linear Model via Effective Spectra
  25 May 2023 0 repositories listed
• Timeseries-aware Uncertainty Wrappers for Uncertainty Quantification of Information-Fusion-Enhanced AI Models based on Machine Learning
  24 May 2023 0 repositories listed
• A Rigorous Link between Deep Ensembles and (Variational) Bayesian Methods
  24 May 2023 0 repositories listed
• UPNet: Uncertainty-based Picking Deep Learning Network for Robust First Break Picking
  23 May 2023 0 repositories listed
• Cycle Consistency-based Uncertainty Quantification of Neural Networks in Inverse Imaging Problems
  22 May 2023 0 repositories listed
• Uncertainty and Structure in Neural Ordinary Differential Equations
  22 May 2023 0 repositories listed
• Uncertainty Quantification in Deep Neural Networks through Statistical Inference on Latent Space
  18 May 2023 0 repositories listed
• Gaussian Process Port-Hamiltonian Systems: Bayesian Learning with Physics Prior
  15 May 2023 0 repositories listed
• Learning Switching Port-Hamiltonian Systems with Uncertainty Quantification
  15 May 2023 0 repositories listed
• Online machine-learning forecast uncertainty estimation for sequential data assimilation
  12 May 2023 0 repositories listed
• ST-GIN: An Uncertainty Quantification Approach in Traffic Data Imputation with Spatio-temporal Graph Attention and Bidirectional Recurrent United Neural Networks
  10 May 2023 0 repositories listed
• On the Limitations of Model Stealing with Uncertainty Quantification Models
  9 May 2023 0 repositories listed
• Bayesian Over-the-Air FedAvg via Channel Driven Stochastic Gradient Langevin Dynamics
  7 May 2023 0 repositories listed
• Correcting for Interference in Experiments: A Case Study at Douyin
  4 May 2023 0 repositories listed
• Self-Supervised Learning for Organs At Risk and Tumor Segmentation with Uncertainty Quantification
  4 May 2023 0 repositories listed
• EBLIME: Enhanced Bayesian Local Interpretable Model-agnostic Explanations
  29 Apr 2023 0 repositories listed
• Deep Ensembles to Improve Uncertainty Quantification of Statistical Downscaling Models under Climate Change Conditions
  27 Apr 2023 0 repositories listed
• Fairness Uncertainty Quantification: How certain are you that the model is fair?
  27 Apr 2023 0 repositories listed
• Score-based Generative Modeling Through Backward Stochastic Differential Equations: Inversion and Generation
  26 Apr 2023 0 repositories listed
• Quantile Extreme Gradient Boosting for Uncertainty Quantification
  23 Apr 2023 0 repositories listed
• Multidimensional Uncertainty Quantification for Deep Neural Networks
  20 Apr 2023 0 repositories listed
• Goal-oriented Uncertainty Quantification for Inverse Problems via Variational Encoder-Decoder Networks
  17 Apr 2023 0 repositories listed
• Communicating Uncertainty in Machine Learning Explanations: A Visualization Analytics Approach for Predictive Process Monitoring
  12 Apr 2023 0 repositories listed
• Post-selection Inference for Conformal Prediction: Trading off Coverage for Precision
  12 Apr 2023 0 repositories listed
• Gradient-based Uncertainty Attribution for Explainable Bayesian Deep Learning
  10 Apr 2023 0 repositories listed
• Deep Anti-Regularized Ensembles provide reliable out-of-distribution uncertainty quantification
  8 Apr 2023 0 repositories listed
• Perspectives on AI Architectures and Co-design for Earth System Predictability
  7 Apr 2023 0 repositories listed
• Towards Efficient MCMC Sampling in Bayesian Neural Networks by Exploiting Symmetry
  6 Apr 2023 0 repositories listed
• Uncertainty Quantification for Recursive Estimation in Adaptive Safety-Critical Control
  4 Apr 2023 0 repositories listed
• Multilevel CNNs for Parametric PDEs
  1 Apr 2023 0 repositories listed
• Towards Reliable Uncertainty Quantification via Deep Ensembles in Multi-output Regression Task
  28 Mar 2023 0 repositories listed
• Collaborative Multi-Object Tracking with Conformal Uncertainty Propagation
  25 Mar 2023 0 repositories listed
• Solving High-Dimensional Inverse Problems with Auxiliary Uncertainty via Operator Learning with Limited Data
  20 Mar 2023 0 repositories listed
• Machine learning with data assimilation and uncertainty quantification for dynamical systems: a review
  18 Mar 2023 0 repositories listed
• Adaptive Modeling of Uncertainties for Traffic Forecasting
  16 Mar 2023 0 repositories listed
• Application of probabilistic modeling and automated machine learning framework for high-dimensional stress field
  15 Mar 2023 0 repositories listed
• Recent Advances and Applications of Machine Learning in Experimental Solid Mechanics: A Review
  14 Mar 2023 0 repositories listed
• Efficient Bayesian Physics Informed Neural Networks for Inverse Problems via Ensemble Kalman Inversion
  13 Mar 2023 0 repositories listed
• Lifelong Machine Learning Potentials
  10 Mar 2023 0 repositories listed
• Uncertainty quantification in neural network classifiers -- a local linear approach
  10 Mar 2023 0 repositories listed
• HappyMap: A Generalized Multi-calibration Method
  8 Mar 2023 0 repositories listed
• Amortized Normalizing Flows for Transcranial Ultrasound with Uncertainty Quantification
  6 Mar 2023 0 repositories listed
• Evaluating the Fairness of Deep Learning Uncertainty Estimates in Medical Image Analysis
  6 Mar 2023 0 repositories listed
• Wasserstein Actor-Critic: Directed Exploration via Optimism for Continuous-Actions Control
  4 Mar 2023 0 repositories listed
• Bayesian Kernelized Tensor Factorization as Surrogate for Bayesian Optimization
  28 Feb 2023 0 repositories listed
• A Survey on Uncertainty Quantification Methods for Deep Learning
  26 Feb 2023 0 repositories listed
• Calibrated Regression Against An Adversary Without Regret
  23 Feb 2023 0 repositories listed
• Learning Mixture Structure on Multi-Source Time Series for Probabilistic Forecasting
  22 Feb 2023 0 repositories listed
• Quantifying uncertainty for deep learning based forecasting and flow-reconstruction using neural architecture search ensembles
  20 Feb 2023 0 repositories listed
• Credal Bayesian Deep Learning
  19 Feb 2023 0 repositories listed
• Function Composition in Trustworthy Machine Learning: Implementation Choices, Insights, and Questions
  17 Feb 2023 0 repositories listed
• Entity Aware Modelling: A Survey
  16 Feb 2023 0 repositories listed
• B-BACN: Bayesian Boundary-Aware Convolutional Network for Crack Characterization
  14 Feb 2023 0 repositories listed
• Event Temporal Relation Extraction with Bayesian Translational Model
  10 Feb 2023 0 repositories listed
• On Fairness and Stability: Is Estimator Variance a Friend or a Foe?
  9 Feb 2023 0 repositories listed
• IB-UQ: Information bottleneck based uncertainty quantification for neural function regression and neural operator learning
  7 Feb 2023 0 repositories listed
• Clarifying Trust of Materials Property Predictions using Neural Networks with Distribution-Specific Uncertainty Quantification
  6 Feb 2023 0 repositories listed
• Generalized Uncertainty of Deep Neural Networks: Taxonomy and Applications
  2 Feb 2023 0 repositories listed
• Physics Constrained Motion Prediction with Uncertainty Quantification
  2 Feb 2023 0 repositories listed
• Randomized prior wavelet neural operator for uncertainty quantification
  2 Feb 2023 0 repositories listed
• Hierarchical shrinkage Gaussian processes: applications to computer code emulation and dynamical system recovery
  1 Feb 2023 0 repositories listed
• Misspecification-robust Sequential Neural Likelihood for Simulation-based Inference
  31 Jan 2023 0 repositories listed
• Convergence of uncertainty estimates in Ensemble and Bayesian sparse model discovery
  30 Jan 2023 0 repositories listed
• On Second-Order Scoring Rules for Epistemic Uncertainty Quantification
  30 Jan 2023 0 repositories listed
• Incremental Value and Interpretability of Radiomics Features of Both Lung and Epicardial Adipose Tissue for Detecting the Severity of COVID-19 Infection
  29 Jan 2023 0 repositories listed
• Combinatorial Inference on the Optimal Assortment in Multinomial Logit Models
  28 Jan 2023 0 repositories listed
• From Classification Accuracy to Proper Scoring Rules: Elicitability of Probabilistic Top List Predictions
  27 Jan 2023 0 repositories listed
• A Hybrid Deep Neural Operator/Finite Element Method for Ice-Sheet Modeling
  26 Jan 2023 0 repositories listed
• Conformal Prediction for Trustworthy Detection of Railway Signals
  26 Jan 2023 0 repositories listed
• Adaptive Probabilistic Forecasting of Electricity (Net-)Load
  24 Jan 2023 0 repositories listed
• Semiparametric inference using fractional posteriors
  19 Jan 2023 0 repositories listed
• Intrinsic Gaussian Process on Unknown Manifolds with Probabilistic Metrics
  16 Jan 2023 0 repositories listed
• A Rigorous Uncertainty-Aware Quantification Framework Is Essential for Reproducible and Replicable Machine Learning Workflows
  13 Jan 2023 0 repositories listed
• Constraining cosmological parameters from N-body simulations with Variational Bayesian Neural Networks
  9 Jan 2023 0 repositories listed
• Deep Deterministic Uncertainty: A New Simple Baseline
  1 Jan 2023 0 repositories listed
• Non-intrusive surrogate modelling using sparse random features with applications in crashworthiness analysis
  30 Dec 2022 0 repositories listed
• Posterior sampling with CNN-based, Plug-and-Play regularization with applications to Post-Stack Seismic Inversion
  30 Dec 2022 0 repositories listed
• A Learning-Based Optimal Uncertainty Quantification Method and Its Application to Ballistic Impact Problems
  28 Dec 2022 0 repositories listed
• Anomaly Detection using Ensemble Classification and Evidence Theory
  23 Dec 2022 0 repositories listed
• Estimating and Assessing Differential Equation Models with Time-Course Data
  20 Dec 2022 0 repositories listed
• Uncertainty Quantification of MLE for Entity Ranking with Covariates
  20 Dec 2022 0 repositories listed
• Demonstration of machine-learning-enhanced Bayesian quantum state estimation
  15 Dec 2022 0 repositories listed
• Scalable Bayesian Uncertainty Quantification for Neural Network Potentials: Promise and Pitfalls
  15 Dec 2022 0 repositories listed
• Error-Aware B-PINNs: Improving Uncertainty Quantification in Bayesian Physics-Informed Neural Networks
  14 Dec 2022 0 repositories listed
• Generative structured normalizing flow Gaussian processes applied to spectroscopic data
  14 Dec 2022 0 repositories listed
• Uncertainty Quantification for Deep Neural Networks: An Empirical Comparison and Usage Guidelines
  14 Dec 2022 0 repositories listed
• Reliable Multimodal Trajectory Prediction via Error Aligned Uncertainty Optimization
  9 Dec 2022 0 repositories listed
• Uncertainty Estimation in Deep Speech Enhancement Using Complex Gaussian Mixture Models
  9 Dec 2022 0 repositories listed
• Enhanced prediction accuracy with uncertainty quantification in monitoring CO2 sequestration using convolutional neural networks
  8 Dec 2022 0 repositories listed
• Transfer Learning with Uncertainty Quantification: Random Effect Calibration of Source to Target (RECaST)
  29 Nov 2022 0 repositories listed
• UQ-ARMED: Uncertainty quantification of adversarially-regularized mixed effects deep learning for clustered non-iid data
  29 Nov 2022 0 repositories listed
• Looking at the posterior: accuracy and uncertainty of neural-network predictions
  26 Nov 2022 0 repositories listed
• An Ensemble-Based Deep Framework for Estimating Thermo-Chemical State Variables from Flamelet Generated Manifolds
  25 Nov 2022 0 repositories listed
• MP-GELU Bayesian Neural Networks: Moment Propagation by GELU Nonlinearity
  24 Nov 2022 0 repositories listed
• Benchmarking Bayesian Deep Learning on Diabetic Retinopathy Detection Tasks
  23 Nov 2022 0 repositories listed
• SciAI4Industry -- Solving PDEs for industry-scale problems with deep learning
  23 Nov 2022 0 repositories listed
• Bayesian autoencoders for data-driven discovery of coordinates, governing equations and fundamental constants
  19 Nov 2022 0 repositories listed