Browse State-of-the-Art › Uncertainty Quantification › Papers, page 16
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 16 of 24: papers 1,501 to 1,600 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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Linguistically Communicating Uncertainty in Patient-Facing Risk Prediction Models31 Jan 2024 0 repositories listed
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Dynamical System Identification, Model Selection and Model Uncertainty Quantification by Bayesian Inference30 Jan 2024 0 repositories listed
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Polynomial Chaos Expansions on Principal Geodesic Grassmannian Submanifolds for Surrogate Modeling and Uncertainty Quantification30 Jan 2024 0 repositories listed
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Influence of Material Parameter Variability on the Predicted Coronary Artery Biomechanical Environment via Uncertainty Quantification26 Jan 2024 0 repositories listed
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Towards Uncertainty-Aware Language Agent25 Jan 2024 0 repositories listed
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When Geoscience Meets Generative AI and Large Language Models: Foundations, Trends, and Future Challenges25 Jan 2024 0 repositories listed
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Self-Improving Interference Management Based on Deep Learning With Uncertainty Quantification24 Jan 2024 0 repositories listed
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Sparse discovery of differential equations based on multi-fidelity Gaussian process22 Jan 2024 0 repositories listed
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Uncertainty quantification of receptor ligand binding sites prediction20 Jan 2024 0 repositories listed
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High Confidence Level Inference is Almost Free using Parallel Stochastic Optimization17 Jan 2024 0 repositories listed
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Evaluating the Utility of Conformal Prediction Sets for AI-Advised Image Labeling16 Jan 2024 0 repositories listed
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A Note on Uncertainty Quantification for Maximum Likelihood Parameters Estimated with Heuristic Based Optimization Algorithms13 Jan 2024 0 repositories listed
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Combining Confidence Elicitation and Sample-based Methods for Uncertainty Quantification in Misinformation Mitigation13 Jan 2024 0 repositories listed
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Uncertainty-aware multi-fidelity surrogate modeling with noisy data12 Jan 2024 0 repositories listed
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CreINNs: Credal-Set Interval Neural Networks for Uncertainty Estimation in Classification Tasks10 Jan 2024 0 repositories listed
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Dual-Channel Reliable Breast Ultrasound Image Classification Based on Explainable Attribution and Uncertainty Quantification8 Jan 2024 0 repositories listed
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Data-Driven Physics-Informed Neural Networks: A Digital Twin Perspective5 Jan 2024 0 repositories listed
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Towards Modeling Uncertainties of Self-explaining Neural Networks via Conformal Prediction3 Jan 2024 0 repositories listed
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Bayesian Exploration of Pre-trained Models for Low-shot Image Classification1 Jan 2024 0 repositories listed
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Epistemic Uncertainty Quantification For Pre-Trained Neural Networks1 Jan 2024 0 repositories listed
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DiffHybrid-UQ: Uncertainty Quantification for Differentiable Hybrid Neural Modeling30 Dec 2023 0 repositories listed
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Second-Order Uncertainty Quantification: Variance-Based Measures30 Dec 2023 0 repositories listed
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Uncertainty-Penalized Reinforcement Learning from Human Feedback with Diverse Reward LoRA Ensembles30 Dec 2023 0 repositories listed
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Uncertainty Quantification in Machine Learning for Joint Speaker Diarization and Identification28 Dec 2023 0 repositories listed
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Learning from small data sets: Patch-based regularizers in inverse problems for image reconstruction27 Dec 2023 0 repositories listed
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Efficient Conformal Prediction under Data Heterogeneity25 Dec 2023 0 repositories listed
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Make Me a BNN: A Simple Strategy for Estimating Bayesian Uncertainty from Pre-trained Models23 Dec 2023 0 repositories listed
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Bridging AI and Clinical Practice: Integrating Automated Sleep Scoring Algorithm with Uncertainty-Guided Physician Review22 Dec 2023 0 repositories listed
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Density Uncertainty Quantification with NeRF-Ensembles: Impact of Data and Scene Constraints22 Dec 2023 0 repositories listed
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Beyond mirkwood: Enhancing SED Modeling with Conformal Predictions21 Dec 2023 0 repositories listed
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Dirichlet-based Uncertainty Quantification for Personalized Federated Learning with Improved Posterior Networks18 Dec 2023 0 repositories listed
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IntraSeismic: a coordinate-based learning approach to seismic inversion17 Dec 2023 0 repositories listed
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Verification of Neural Reachable Tubes via Scenario Optimization and Conformal Prediction14 Dec 2023 0 repositories listed
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How much can change in a year? Revisiting Evaluation in Multi-Agent Reinforcement Learning13 Dec 2023 0 repositories listed
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Empirical Validation of Conformal Prediction for Trustworthy Skin Lesions Classification12 Dec 2023 0 repositories listed
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The AIRI plug-and-play algorithm for image reconstruction in radio-interferometry: variations and robustness12 Dec 2023 0 repositories listed
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Implementing hosting capacity analysis in distribution networks: Practical considerations, advancements and future directions11 Dec 2023 0 repositories listed
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Randomized Physics-Informed Machine Learning for Uncertainty Quantification in High-Dimensional Inverse Problems11 Dec 2023 0 repositories listed
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Data-Driven Robust Covariance Control for Uncertain Linear Systems10 Dec 2023 0 repositories listed
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Rational Kriging8 Dec 2023 0 repositories listed
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Thermodynamic Computing System for AI Applications8 Dec 2023 0 repositories listed
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Learning-Based Approaches to Predictive Monitoring with Conformal Statistical Guarantees4 Dec 2023 0 repositories listed
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Second-Order Uncertainty Quantification: A Distance-Based Approach2 Dec 2023 0 repositories listed
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Adaptability of Computer Vision at the Tactical Edge: Addressing Environmental Uncertainty1 Dec 2023 0 repositories listed
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A personalized Uncertainty Quantification framework for patient survival models: estimating individual uncertainty of patients with metastatic brain tumors in the absence of ground truth28 Nov 2023 0 repositories listed
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B-LSTM-MIONet: Bayesian LSTM-based Neural Operators for Learning the Response of Complex Dynamical Systems to Length-Variant Multiple Input Functions28 Nov 2023 0 repositories listed
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Deep Latent Force Models: ODE-based Process Convolutions for Bayesian Deep Learning24 Nov 2023 0 repositories listed
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Bayesian Neural Networks for 2D MRI Segmentation24 Nov 2023 0 repositories listed
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Measurement Error and Counterfactuals in Quantitative Trade and Spatial Models23 Nov 2023 0 repositories listed
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Evidential Active Recognition: Intelligent and Prudent Open-World Embodied Perception23 Nov 2023 0 repositories listed
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Grad-Shafranov equilibria via data-free physics informed neural networks22 Nov 2023 0 repositories listed
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Deep State-Space Model for Predicting Cryptocurrency Price21 Nov 2023 0 repositories listed
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PINNs-Based Uncertainty Quantification for Transient Stability Analysis21 Nov 2023 0 repositories listed
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Uncertainty Estimation in Contrast-Enhanced MR Image Translation with Multi-Axis Fusion20 Nov 2023 0 repositories listed
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Uncertainty quantification for noisy inputs-outputs in physics-informed neural networks and neural operators19 Nov 2023 0 repositories listed
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Max-Rank: Efficient Multiple Testing for Conformal Prediction17 Nov 2023 0 repositories listed
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Uncertainty Quantification in Machine Learning for Biosignal Applications -- A Review15 Nov 2023 0 repositories listed
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Feedforward neural networks as statistical models: Improving interpretability through uncertainty quantification14 Nov 2023 0 repositories listed
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Frequentist Guarantees of Distributed (Non)-Bayesian Inference14 Nov 2023 0 repositories listed
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Uncertainty Quantification in Neural-Network Based Pain Intensity Estimation14 Nov 2023 0 repositories listed
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Data-Efficient Task Generalization via Probabilistic Model-based Meta Reinforcement Learning13 Nov 2023 0 repositories listed
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Uncertainty estimation of machine learning spatial precipitation predictions from satellite data13 Nov 2023 0 repositories listed
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Probabilistic Physics-integrated Neural Differentiable Modeling for Isothermal Chemical Vapor Infiltration Process13 Nov 2023 0 repositories listed
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Early-Exit Neural Networks with Nested Prediction Sets10 Nov 2023 0 repositories listed
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Perfecting Liquid-State Theories with Machine Intelligence9 Nov 2023 0 repositories listed
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Uncertainty Wrapper in the medical domain: Establishing transparent uncertainty quantification for opaque machine learning models in practice9 Nov 2023 0 repositories listed
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Evaluating Uncertainty Quantification approaches for Neural PDEs in scientific applications8 Nov 2023 0 repositories listed
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Uncertainty Quantification of Deep Learning for Spatiotemporal Data: Challenges and Opportunities4 Nov 2023 0 repositories listed
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Bayesian Quantile Regression with Subset Selection: A Decision Analysis Perspective3 Nov 2023 0 repositories listed
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Neural SPDE solver for uncertainty quantification in high-dimensional space-time dynamics3 Nov 2023 0 repositories listed
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Reproducible Parameter Inference Using Bagged Posteriors3 Nov 2023 0 repositories listed
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Local Bayesian Dirichlet mixing of imperfect models2 Nov 2023 0 repositories listed
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Data-Driven Model Selections of Second-Order Particle Dynamics via Integrating Gaussian Processes with Low-Dimensional Interacting Structures1 Nov 2023 0 repositories listed
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On Gaussian Process Priors in Conditional Moment Restriction Models1 Nov 2023 0 repositories listed
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Polynomial Chaos Surrogate Construction for Random Fields with Parametric Uncertainty1 Nov 2023 0 repositories listed
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Directed Cyclic Graph for Causal Discovery from Multivariate Functional Data31 Oct 2023 0 repositories listed
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Ensemble models outperform single model uncertainties and predictions for operator-learning of hypersonic flows31 Oct 2023 0 repositories listed
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Stochastic Time-Optimal Trajectory Planning for Connected and Automated Vehicles in Mixed-Traffic Merging Scenarios31 Oct 2023 0 repositories listed
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Uncertainty Quantification in Machine Learning Based Segmentation: A Post-Hoc Approach for Left Ventricle Volume Estimation in MRI30 Oct 2023 0 repositories listed
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Bridging the gap: Towards an Expanded Toolkit for AI-driven Decision-Making in the Public Sector29 Oct 2023 0 repositories listed
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Function Space Bayesian Pseudocoreset for Bayesian Neural Networks27 Oct 2023 0 repositories listed
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Agreeing to Stop: Reliable Latency-Adaptive Decision Making via Ensembles of Spiking Neural Networks25 Oct 2023 0 repositories listed
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Distributed Uncertainty Quantification of Kernel Interpolation on Spheres25 Oct 2023 0 repositories listed
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Large-scale magnetic field maps using structured kernel interpolation for Gaussian process regression25 Oct 2023 0 repositories listed
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Score Matching-based Pseudolikelihood Estimation of Neural Marked Spatio-Temporal Point Process with Uncertainty Quantification25 Oct 2023 0 repositories listed
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Learned, uncertainty-driven adaptive acquisition for photon-efficient scanning microscopy24 Oct 2023 0 repositories listed
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Approaches for Uncertainty Quantification of AI-predicted Material Properties: A Comparison19 Oct 2023 0 repositories listed
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Sequential Gibbs Posteriors with Applications to Principal Component Analysis19 Oct 2023 0 repositories listed
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On the Temperature of Bayesian Graph Neural Networks for Conformal Prediction17 Oct 2023 0 repositories listed
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Online Algorithms with Uncertainty-Quantified Predictions17 Oct 2023 0 repositories listed
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Resampling Stochastic Gradient Descent Cheaply for Efficient Uncertainty Quantification17 Oct 2023 0 repositories listed
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Accurate Data-Driven Surrogates of Dynamical Systems for Forward Propagation of Uncertainty16 Oct 2023 0 repositories listed
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Pseudo-Bayesian Optimization15 Oct 2023 0 repositories listed
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Uncertainty Quantification using Generative Approach13 Oct 2023 0 repositories listed
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Trustworthy Machine Learning12 Oct 2023 0 repositories listed
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Deep Learning: A Tutorial10 Oct 2023 0 repositories listed
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Stochastic Super-resolution of Cosmological Simulations with Denoising Diffusion Models10 Oct 2023 0 repositories listed
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Hoeffding decomposition of black-box models with dependent inputs10 Oct 2023 0 repositories listed
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A review of uncertainty quantification in medical image analysis: probabilistic and non-probabilistic methods9 Oct 2023 0 repositories listed
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Quantifying Uncertainty in Deep Learning Classification with Noise in Discrete Inputs for Risk-Based Decision Making9 Oct 2023 0 repositories listed