Browse State-of-the-Art › Uncertainty Quantification › Papers, page 15
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 15 of 24: papers 1,401 to 1,500 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.
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Do Bayesian imaging methods report trustworthy probabilities?13 May 2024 0 repositories listed
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A design specification for Critical Illness Digital Twins to cure sepsis: responding to the National Academies of Sciences, Engineering and Medicine Report: Foundational Research Gaps and Future Directions for Digital Twins8 May 2024 0 repositories listed
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How Inverse Conditional Flows Can Serve as a Substitute for Distributional Regression8 May 2024 0 repositories listed
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Uncertainty quantification in metric spaces8 May 2024 0 repositories listed
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Uncertainty Quantification Metrics for Deep Regression7 May 2024 0 repositories listed
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MERIT: Multi-view Evidential learning for Reliable and Interpretable liver fibrosis sTaging5 May 2024 0 repositories listed
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A comparative study of conformal prediction methods for valid uncertainty quantification in machine learning3 May 2024 0 repositories listed
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Conformal Prediction for Natural Language Processing: A Survey3 May 2024 0 repositories listed
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Fair Risk Control: A Generalized Framework for Calibrating Multi-group Fairness Risks3 May 2024 0 repositories listed
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Accounting for the Effects of Probabilistic Uncertainty During Fast Charging of Lithium-ion Batteries2 May 2024 0 repositories listed
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Multivariate Bayesian Last Layer for Regression: Uncertainty Quantification and Disentanglement2 May 2024 0 repositories listed
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Leveraging Active Subspaces to Capture Epistemic Model Uncertainty in Deep Generative Models for Molecular Design30 Apr 2024 0 repositories listed
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Statistics and explainability: a fruitful alliance30 Apr 2024 0 repositories listed
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Uncertainty quantification for iterative algorithms in linear models with application to early stopping27 Apr 2024 0 repositories listed
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Deep Evidential Learning for Radiotherapy Dose Prediction26 Apr 2024 0 repositories listed
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Sensor Response-Time Reduction using Long-Short Term Memory Network Forecasting26 Apr 2024 0 repositories listed
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Automatic AI controller that can drive with confidence: steering vehicle with uncertainty knowledge24 Apr 2024 0 repositories listed
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FedSI: Federated Subnetwork Inference for Efficient Uncertainty Quantification24 Apr 2024 0 repositories listed
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Uncertainty Quantification of Data-Driven Output Predictors in the Output Error Setting23 Apr 2024 0 repositories listed
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Uncertainty Quantification on Graph Learning: A Survey23 Apr 2024 0 repositories listed
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A Novel A.I Enhanced Reservoir Characterization with a Combined Mixture of Experts -- NVIDIA Modulus based Physics Informed Neural Operator Forward Model20 Apr 2024 0 repositories listed
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Enhancing Interval Type-2 Fuzzy Logic Systems: Learning for Precision and Prediction Intervals19 Apr 2024 0 repositories listed
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Multiclass ROC19 Apr 2024 0 repositories listed
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QUTE: Quantifying Uncertainty in TinyML with Early-exit-assisted ensembles for model-monitoring19 Apr 2024 0 repositories listed
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Zadeh's Type-2 Fuzzy Logic Systems: Precision and High-Quality Prediction Intervals19 Apr 2024 0 repositories listed
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Generalizing Machine Learning Evaluation through the Integration of Shannon Entropy and Rough Set Theory18 Apr 2024 0 repositories listed
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Analytical results for uncertainty propagation through trained machine learning regression models17 Apr 2024 0 repositories listed
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Data-driven modeling and prediction of microglial cell dynamics in the ischemic penumbra16 Apr 2024 0 repositories listed
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Accelerating Ensemble Error Bar Prediction with Single Models Fits15 Apr 2024 0 repositories listed
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Epistemic Uncertainty Quantification For Pre-trained Neural Network15 Apr 2024 0 repositories listed
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Combining Statistical Depth and Fermat Distance for Uncertainty Quantification12 Apr 2024 0 repositories listed
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On the Independence Assumption in Neurosymbolic Learning12 Apr 2024 0 repositories listed
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Uncertainty Quantification in Detecting Choroidal Metastases on MRI via Evolutionary Strategies12 Apr 2024 0 repositories listed
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Inferring Change Points in High-Dimensional Regression via Approximate Message Passing11 Apr 2024 0 repositories listed
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Diverse Randomized Value Functions: A Provably Pessimistic Approach for Offline Reinforcement Learning9 Apr 2024 0 repositories listed
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Learning smooth functions in high dimensions: from sparse polynomials to deep neural networks4 Apr 2024 0 repositories listed
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Towards detecting unanticipated bias in Large Language Models3 Apr 2024 0 repositories listed
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Traffic State Estimation and Uncertainty Quantification at Signalized Intersections with Low Penetration Rate Vehicle Trajectory Data2 Apr 2024 0 repositories listed
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From Robustness to Improved Generalization and Calibration in Pre-trained Language Models31 Mar 2024 0 repositories listed
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Conformal Prediction for Stochastic Decision-Making of PV Power in Electricity Markets29 Mar 2024 0 repositories listed
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Screening for Diabetes Mellitus in the U.S. Population Using Neural Network Models and Complex Survey Designs28 Mar 2024 0 repositories listed
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Segmentation Re-thinking Uncertainty Estimation Metrics for Semantic Segmentation28 Mar 2024 0 repositories listed
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R2D2 image reconstruction with model uncertainty quantification in radio astronomy26 Mar 2024 0 repositories listed
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Bridging the Sim-to-Real Gap with Bayesian Inference25 Mar 2024 0 repositories listed
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Real-time Adaptation for Condition Monitoring Signal Prediction using Label-aware Neural Processes25 Mar 2024 0 repositories listed
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Uncertainty Quantification for Gradient-based Explanations in Neural Networks25 Mar 2024 0 repositories listed
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Federated Bayesian Deep Learning: The Application of Statistical Aggregation Methods to Bayesian Models22 Mar 2024 0 repositories listed
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Bayesian Physics-informed Neural Networks for System Identification of Inverter-dominated Power Systems20 Mar 2024 0 repositories listed
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Fast Value Tracking for Deep Reinforcement Learning19 Mar 2024 0 repositories listed
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QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge19 Mar 2024 0 repositories listed
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Pessimistic Causal Reinforcement Learning with Mediators for Confounded Offline Data18 Mar 2024 0 repositories listed
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Graph Machine Learning based Doubly Robust Estimator for Network Causal Effects17 Mar 2024 0 repositories listed
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Variation Due to Regularization Tractably Recovers Bayesian Deep Learning15 Mar 2024 0 repositories listed
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Fast and reliable uncertainty quantification with neural network ensembles for industrial image classification15 Mar 2024 0 repositories listed
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A Framework for Strategic Discovery of Credible Neural Network Surrogate Models under Uncertainty13 Mar 2024 0 repositories listed
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Discovering High-Strength Alloys via Physics-Transfer Learning12 Mar 2024 0 repositories listed
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Towards a Framework for Deep Learning Certification in Safety-Critical Applications Using Inherently Safe Design and Run-Time Error Detection12 Mar 2024 0 repositories listed
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Uncertainty Quantification with Deep Ensembles for 6D Object Pose Estimation12 Mar 2024 0 repositories listed
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Model-Free Local Recalibration of Neural Networks9 Mar 2024 0 repositories listed
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End-to-end Conditional Robust Optimization7 Mar 2024 0 repositories listed
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ProbSAINT: Probabilistic Tabular Regression for Used Car Pricing6 Mar 2024 0 repositories listed
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Uncertainty quantification for deeponets with ensemble kalman inversion6 Mar 2024 0 repositories listed
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Scalable Bayesian inference for the generalized linear mixed model5 Mar 2024 0 repositories listed
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Joint Parameter and Parameterization Inference with Uncertainty Quantification through Differentiable Programming4 Mar 2024 0 repositories listed
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On Fractional Moment Estimation from Polynomial Chaos Expansion4 Mar 2024 0 repositories listed
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SPUQ: Perturbation-Based Uncertainty Quantification for Large Language Models4 Mar 2024 0 repositories listed
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Statistical Mechanics of Dynamical System Identification4 Mar 2024 0 repositories listed
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Prediction of the SYM-H Index Using a Bayesian Deep Learning Method with Uncertainty Quantification27 Feb 2024 0 repositories listed
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Conformalized-DeepONet: A Distribution-Free Framework for Uncertainty Quantification in Deep Operator Networks23 Feb 2024 0 repositories listed
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Generative Modelling with Tensor Train approximations of Hamilton--Jacobi--Bellman equations23 Feb 2024 0 repositories listed
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Physics-constrained polynomial chaos expansion for scientific machine learning and uncertainty quantification23 Feb 2024 0 repositories listed
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Probabilistically Correct Language-based Multi-Robot Planning using Conformal Prediction23 Feb 2024 0 repositories listed
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Quantifying neural network uncertainty under volatility clustering22 Feb 2024 0 repositories listed
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Word-Sequence Entropy: Towards Uncertainty Estimation in Free-Form Medical Question Answering Applications and Beyond22 Feb 2024 0 repositories listed
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Efficient Normalized Conformal Prediction and Uncertainty Quantification for Anti-Cancer Drug Sensitivity Prediction with Deep Regression Forests21 Feb 2024 0 repositories listed
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Discriminant Distance-Aware Representation on Deterministic Uncertainty Quantification Methods20 Feb 2024 0 repositories listed
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Extending the Scope of Inference About Predictive Ability to Machine Learning Methods20 Feb 2024 0 repositories listed
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Nonlinear Discrete-Time Observers with Physics-Informed Neural Networks19 Feb 2024 0 repositories listed
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Uncertainty Quantification of Graph Convolution Neural Network Models of Evolving Processes17 Feb 2024 0 repositories listed
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Efficient Multi-task Uncertainties for Joint Semantic Segmentation and Monocular Depth Estimation16 Feb 2024 0 repositories listed
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Predictive Uncertainty Quantification via Risk Decompositions for Strictly Proper Scoring Rules16 Feb 2024 0 repositories listed
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Language Models with Conformal Factuality Guarantees15 Feb 2024 0 repositories listed
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UR2M: Uncertainty and Resource-Aware Event Detection on Microcontrollers14 Feb 2024 0 repositories listed
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Approximately Piecewise E(3) Equivariant Point Networks13 Feb 2024 0 repositories listed
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Experts Don't Cheat: Learning What You Don't Know By Predicting Pairs13 Feb 2024 0 repositories listed
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Uncertainty Quantification via Stable Distribution Propagation13 Feb 2024 0 repositories listed
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AI enhanced data assimilation and uncertainty quantification applied to Geological Carbon Storage9 Feb 2024 0 repositories listed
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Dimensionality reduction can be used as a surrogate model for high-dimensional forward uncertainty quantification7 Feb 2024 0 repositories listed
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Neural machine translation of clinical procedure codes for medical diagnosis and uncertainty quantification7 Feb 2024 0 repositories listed
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Reconfidencing LLMs from the Grouping Loss Perspective7 Feb 2024 0 repositories listed
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Bayesian Vector AutoRegression with Factorised Granger-Causal Graphs6 Feb 2024 0 repositories listed
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Combining additivity and active subspaces for high-dimensional Gaussian process modeling6 Feb 2024 0 repositories listed
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Variational Shapley Network: A Probabilistic Approach to Self-Explaining Shapley values with Uncertainty Quantification6 Feb 2024 0 repositories listed
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Functional SDE approximation inspired by a deep operator network architecture5 Feb 2024 0 repositories listed
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Variational DAG Estimation via State Augmentation With Stochastic Permutations4 Feb 2024 0 repositories listed
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Calibrated Uncertainty Quantification for Operator Learning via Conformal Prediction2 Feb 2024 0 repositories listed
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kNN Algorithm for Conditional Mean and Variance Estimation with Automated Uncertainty Quantification and Variable Selection2 Feb 2024 0 repositories listed
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Neural variational Data Assimilation with Uncertainty Quantification using SPDE priors2 Feb 2024 0 repositories listed
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Analog In-Memory Computing with Uncertainty Quantification for Efficient Edge-based Medical Imaging Segmentation1 Feb 2024 0 repositories listed
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Efficient Non-Parametric Uncertainty Quantification for Black-Box Large Language Models and Decision Planning1 Feb 2024 0 repositories listed