Browse State-of-the-Art › Uncertainty Quantification › Papers, page 12
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 12 of 24: papers 1,101 to 1,200 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.
-
2 Feb 2025 0 repositories listed Syntology 2 ran (of which 2 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 0 violated, 2 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified; every one of the 2 samples that ran constructed an object rather than computing a result (of 3 harvested samples) · 3 pointer-only (licence)
-
Muti-Fidelity Prediction and Uncertainty Quantification with Laplace Neural Operators for Parametric Partial Differential Equations1 Feb 2025 0 repositories listed
-
Uncertainty Quantification of Wind Gust Predictions in the Northeast US: An Evidential Neural Network and Explainable Artificial Intelligence Approach1 Feb 2025 0 repositories listed
-
Position: Curvature Matrices Should Be Democratized via Linear Operators31 Jan 2025 0 repositories listed
-
Trustworthy Evaluation of Generative AI Models31 Jan 2025 0 repositories listed
-
BARNN: A Bayesian Autoregressive and Recurrent Neural Network30 Jan 2025 0 repositories listed
-
Probabilistic Joint Recovery Method for CO₂ Plume Monitoring30 Jan 2025 0 repositories listed
-
Robust Online Conformal Prediction under Uniform Label Noise30 Jan 2025 0 repositories listed
-
Trustworthy image-to-image translation: evaluating uncertainty calibration in unpaired training scenarios29 Jan 2025 0 repositories listed
-
Evidential Physics-Informed Neural Networks27 Jan 2025 0 repositories listed
-
Computational modelling of biological systems now and then: revisiting tools and visions from the beginning of the century22 Jan 2025 0 repositories listed
-
Uncertainty Quantification With Noise Injection in Neural Networks: A Bayesian Perspective21 Jan 2025 0 repositories listed
-
Are generative models fair? A study of racial bias in dermatological image generation20 Jan 2025 0 repositories listed
-
Can Bayesian Neural Networks Make Confident Predictions?20 Jan 2025 0 repositories listed
-
Deep Operator Networks for Bayesian Parameter Estimation in PDEs18 Jan 2025 0 repositories listed
-
Enhancing Diagnostic in 3D COVID-19 Pneumonia CT-scans through Explainable Uncertainty Bayesian Quantification18 Jan 2025 0 repositories listed
-
A recursive Bayesian neural network for constitutive modeling of sands under monotonic loading17 Jan 2025 0 repositories listed
-
Uncertainty-Aware Digital Twins: Robust Model Predictive Control using Time-Series Deep Quantile Learning17 Jan 2025 0 repositories listed
-
Scalable Bayesian Physics-Informed Kolmogorov-Arnold Networks15 Jan 2025 0 repositories listed
-
A Critical Synthesis of Uncertainty Quantification and Foundation Models in Monocular Depth Estimation14 Jan 2025 0 repositories listed
-
Testing Human-Hand Segmentation on In-Distribution and Out-of-Distribution Data in Human-Robot Interactions Using a Deep Ensemble Model13 Jan 2025 0 repositories listed
-
Uncertainty-Aware Online Extrinsic Calibration: A Conformal Prediction Approach12 Jan 2025 0 repositories listed
-
Distilling Calibration via Conformalized Credal Inference10 Jan 2025 0 repositories listed
-
Geophysical inverse problems with measurement-guided diffusion models8 Jan 2025 0 repositories listed
-
Probabilistic Skip Connections for Deterministic Uncertainty Quantification in Deep Neural Networks8 Jan 2025 0 repositories listed
-
Statistical Uncertainty Quantification for Aggregate Performance Metrics in Machine Learning Benchmarks8 Jan 2025 0 repositories listed
-
A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval6 Jan 2025 0 repositories listed
-
From Aleatoric to Epistemic: Exploring Uncertainty Quantification Techniques in Artificial Intelligence5 Jan 2025 0 repositories listed
-
A Systematic Computational Framework for Practical Identifiability Analysis in Mathematical Models Arising from Biology2 Jan 2025 0 repositories listed
-
Marketing Mix Modeling in Lemonade2 Jan 2025 0 repositories listed
-
An AI-powered Bayesian generative modeling approach for causal inference in observational studies1 Jan 2025 0 repositories listed
-
Monty Hall and Optimized Conformal Prediction to Improve Decision-Making with LLMs31 Dec 2024 0 repositories listed
-
Uncertainty-Aware Out-of-Distribution Detection with Gaussian Processes30 Dec 2024 0 repositories listed
-
Confidence Interval Construction and Conditional Variance Estimation with Dense ReLU Networks29 Dec 2024 0 repositories listed
-
When the whole is greater than the sum of its parts: Scaling black-box inference to large data settings through divide-and-conquer29 Dec 2024 0 repositories listed
-
Uncertainty quantification for improving radiomic-based models in radiation pneumonitis prediction27 Dec 2024 0 repositories listed
-
Uncertainty Quantification in Stereo Matching24 Dec 2024 0 repositories listed
-
Condensed Stein Variational Gradient Descent for Uncertainty Quantification of Neural Networks21 Dec 2024 0 repositories listed
-
Uncertainty Quantification in Continual Open-World Learning21 Dec 2024 0 repositories listed
-
Reliability analysis for non-deterministic limit-states using stochastic emulators18 Dec 2024 0 repositories listed
-
Uncertainty separation via ensemble quantile regression18 Dec 2024 0 repositories listed
-
Distribution-Free Uncertainty Quantification in Mechanical Ventilation Treatment: A Conformal Deep Q-Learning Framework17 Dec 2024 0 repositories listed
-
Information-Geometric Barycenters for Bayesian Federated Learning16 Dec 2024 0 repositories listed
-
Reliable Breast Cancer Molecular Subtype Prediction based on uncertainty-aware Bayesian Deep Learning by Mammography16 Dec 2024 0 repositories listed
-
A Staged Deep Learning Approach to Spatial Refinement in 3D Temporal Atmospheric Transport14 Dec 2024 0 repositories listed
-
Integrating Generative and Physics-Based Models for Ptychographic Imaging with Uncertainty Quantification14 Dec 2024 0 repositories listed
-
Prescribing Decision Conservativeness in Two-Stage Power Markets: A Distributionally Robust End-to-End Approach13 Dec 2024 0 repositories listed
-
Beyond Reweighting: On the Predictive Role of Covariate Shift in Effect Generalization12 Dec 2024 0 repositories listed
-
Distribution free uncertainty quantification in neuroscience-inspired deep operators12 Dec 2024 0 repositories listed
-
Subspace tracking for online system identification12 Dec 2024 0 repositories listed
-
Bayesian optimized deep ensemble for uncertainty quantification of deep neural networks: a system safety case study on sodium fast reactor thermal stratification modeling11 Dec 2024 0 repositories listed
-
CUPS: Improving Human Pose-Shape Estimators with Conformalized Deep Uncertainty11 Dec 2024 0 repositories listed
-
Conformal Uncertainty Quantification of Electricity Price Predictions for Risk-Averse Storage Arbitrage10 Dec 2024 0 repositories listed
-
Dual Random Fields and their Application to Mineral Potential Mapping10 Dec 2024 0 repositories listed
-
Label-Confidence-Aware Uncertainty Estimation in Natural Language Generation10 Dec 2024 0 repositories listed
-
How Certain are Uncertainty Estimates? Three Novel Earth Observation Datasets for Benchmarking Uncertainty Quantification in Machine Learning9 Dec 2024 0 repositories listed
-
A Survey on Uncertainty Quantification of Large Language Models: Taxonomy, Open Research Challenges, and Future Directions7 Dec 2024 0 repositories listed
-
AI-powered Digital Twin of the Ocean: Reliable Uncertainty Quantification for Real-time Wave Height Prediction with Deep Ensemble7 Dec 2024 0 repositories listed
-
DAWN-FM: Data-Aware and Noise-Informed Flow Matching for Solving Inverse Problems6 Dec 2024 0 repositories listed
-
Learning Hidden Physics and System Parameters with Deep Operator Networks6 Dec 2024 0 repositories listed
-
Uncertainty Quantification for Transformer Models for Dark-Pattern Detection6 Dec 2024 0 repositories listed
-
Deep priors for satellite image restoration with accurate uncertainties5 Dec 2024 0 repositories listed
-
Uncertainty Quantification in Portfolio Temperature Alignment5 Dec 2024 0 repositories listed
-
Risk-aware Classification via Uncertainty Quantification4 Dec 2024 0 repositories listed
-
Towards Understanding and Quantifying Uncertainty for Text-to-Image Generation4 Dec 2024 0 repositories listed
-
Enhancing Trust in Large Language Models with Uncertainty-Aware Fine-Tuning3 Dec 2024 0 repositories listed
-
Identifying Reliable Predictions in Detection Transformers2 Dec 2024 0 repositories listed
-
Spatial Conformal Inference through Localized Quantile Regression2 Dec 2024 0 repositories listed
-
Towards Clinical Practice in CT-Based Pulmonary Disease Screening: An Efficient and Reliable Framework2 Dec 2024 0 repositories listed
-
Uncertainty-Aware Artificial Intelligence for Gear Fault Diagnosis in Motor Drives2 Dec 2024 0 repositories listed
-
Predictive Inference With Fast Feature Conformal Prediction1 Dec 2024 0 repositories listed
-
AutoPQ: Automating Quantile estimation from Point forecasts in the context of sustainability30 Nov 2024 0 repositories listed
-
Per-event Uncertainty Quantification for Flow Cytometry using Calibration Beads28 Nov 2024 0 repositories listed
-
Redesigning the ensemble Kalman filter with a dedicated model of epistemic uncertainty28 Nov 2024 0 repositories listed
-
Probabilistic size-and-shape functional mixed models27 Nov 2024 0 repositories listed
-
LC-SVD-DLinear: A low-cost physics-based hybrid machine learning model for data forecasting using sparse measurements26 Nov 2024 0 repositories listed
-
Uncertainty quantification for White Matter Hyperintensity segmentation detects silent failures and improves automated Fazekas quantification26 Nov 2024 0 repositories listed
-
A Review of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentation25 Nov 2024 0 repositories listed
-
Enhancing In-Hospital Mortality Prediction Using Multi-Representational Learning with LLM-Generated Expert Summaries25 Nov 2024 0 repositories listed
-
Epinet for Content Cold Start20 Nov 2024 0 repositories listed
-
Hierarchical Spatio-Temporal Uncertainty Quantification for Distributed Energy Adoption19 Nov 2024 0 repositories listed
-
Multivariate and Online Transfer Learning with Uncertainty Quantification19 Nov 2024 0 repositories listed
-
Fine-Grained Uncertainty Quantification via Collisions18 Nov 2024 0 repositories listed
-
Theoretical Foundations of Conformal Prediction18 Nov 2024 0 repositories listed
-
Melanoma Detection with Uncertainty Quantification15 Nov 2024 0 repositories listed
-
Uncertainty in Supply Chain Digital Twins: A Quantum-Classical Hybrid Approach15 Nov 2024 0 repositories listed
-
Counterfactual Uncertainty Quantification of Factual Estimand of Efficacy from Before-and-After Treatment Repeated Measures Randomized Controlled Trials14 Nov 2024 0 repositories listed
-
Inherently Interpretable and Uncertainty-Aware Models for Online Learning in Cyber-Security Problems14 Nov 2024 0 repositories listed
-
Evidential time-to-event prediction with calibrated uncertainty quantification12 Nov 2024 0 repositories listed
-
Data-Driven Gradient Optimization for Field Emission Management in a Superconducting Radio-Frequency Linac11 Nov 2024 0 repositories listed
-
Machine learning-enabled velocity model building with uncertainty quantification11 Nov 2024 0 repositories listed
-
UQ of 2D Slab Burner DNS: Surrogates, Uncertainty Propagation, and Parameter Calibration9 Nov 2024 0 repositories listed
-
Analysis, forecasting and system identification of a floating offshore wind turbine using dynamic mode decomposition8 Nov 2024 0 repositories listed
-
Game-Theoretic Defenses for Robust Conformal Prediction Against Adversarial Attacks in Medical Imaging7 Nov 2024 0 repositories listed
-
Uncertainty Prediction Neural Network (UpNet): Embedding Artificial Neural Network in Bayesian Inversion Framework to Quantify the Uncertainty of Remote Sensing Retrieval7 Nov 2024 0 repositories listed
-
Uncertainty Quantification for Clinical Outcome Predictions with (Large) Language Models5 Nov 2024 0 repositories listed
-
Addressing Uncertainty in LLMs to Enhance Reliability in Generative AI4 Nov 2024 0 repositories listed
-
Modeling Uncertainty in 3D Gaussian Splatting through Continuous Semantic Splatting4 Nov 2024 0 repositories listed
-
Targeted Learning for Variable Importance4 Nov 2024 0 repositories listed
Syntology lines on 2 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 , 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.