Browse State-of-the-Art › Uncertainty Quantification › Papers, page 13
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 13 of 24: papers 1,201 to 1,300 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.
-
Adaptive Conformal Inference by Particle Filtering under Hidden Markov Models3 Nov 2024 0 repositories listed
-
DSDE: Using Proportion Estimation to Improve Model Selection for Out-of-Distribution Detection3 Nov 2024 0 repositories listed
-
Strategic Conformal Prediction3 Nov 2024 0 repositories listed
-
Conformalized Prediction of Post-Fault Voltage Trajectories Using Pre-trained and Finetuned Attention-Driven Neural Operators31 Oct 2024 0 repositories listed
-
State- and context-dependent robotic manipulation and grasping via uncertainty-aware imitation learning31 Oct 2024 0 repositories listed
-
Improving Uncertainty Quantification in Large Language Models via Semantic Embeddings30 Oct 2024 0 repositories listed
-
Legitimate ground-truth-free metrics for deep uncertainty classification scoring30 Oct 2024 0 repositories listed
-
Multi-fidelity Machine Learning for Uncertainty Quantification and Optimization30 Oct 2024 0 repositories listed
-
Uncertainty quantification for fast reconstruction methods using augmented equivariant bootstrap: Application to radio interferometry30 Oct 2024 0 repositories listed
-
Uncertainty Quantification via Hölder Divergence for Multi-View Representation Learning29 Oct 2024 0 repositories listed
-
Embedded Nonlocal Operator Regression (ENOR): Quantifying model error in learning nonlocal operators27 Oct 2024 0 repositories listed
-
Integrating uncertainty quantification into randomized smoothing based robustness guarantees27 Oct 2024 0 repositories listed
-
GeoFUSE: A High-Efficiency Surrogate Model for Seawater Intrusion Prediction and Uncertainty Reduction26 Oct 2024 0 repositories listed
-
Uncertainty-Error correlations in Evidential Deep Learning models for biomedical segmentation24 Oct 2024 0 repositories listed
-
The Probabilistic Tsetlin Machine: A Novel Approach to Uncertainty Quantification23 Oct 2024 0 repositories listed
-
Bayes without Underfitting: Fully Correlated Deep Learning Posteriors via Alternating Projections22 Oct 2024 0 repositories listed
-
Ablation Studies for Novel Treatment Effect Estimation Models21 Oct 2024 0 repositories listed
-
Learning signals defined on graphs with optimal transport and Gaussian process regression21 Oct 2024 0 repositories listed
-
Semiparametric Bayesian Inference for a Conditional Moment Equality Model21 Oct 2024 0 repositories listed
-
Conditional Uncertainty Quantification for Tensorized Topological Neural Networks20 Oct 2024 0 repositories listed
-
A Hybrid Feature Fusion Deep Learning Framework for Leukemia Cancer Detection in Microscopic Blood Sample Using Gated Recurrent Unit and Uncertainty Quantification18 Oct 2024 0 repositories listed
-
A Statistical Machine Learning Approach for Adapting Reduced-Order Models using Projected Gaussian Process18 Oct 2024 0 repositories listed
-
Debiasing Mini-Batch Quadratics for Applications in Deep Learning18 Oct 2024 0 repositories listed
-
MultiOrg: A Multi-rater Organoid-detection Dataset18 Oct 2024 0 repositories listed
-
Personalizing Low-Rank Bayesian Neural Networks Via Federated Learning18 Oct 2024 0 repositories listed
-
Arbitrarily-Conditioned Multi-Functional Diffusion for Multi-Physics Emulation17 Oct 2024 0 repositories listed
-
Conformal Prediction for Federated Graph Neural Networks with Missing Neighbor Information17 Oct 2024 0 repositories listed
-
From PINNs to PIKANs: Recent Advances in Physics-Informed Machine Learning17 Oct 2024 0 repositories listed
-
Generative Conformal Prediction with Vectorized Non-Conformity Scores17 Oct 2024 0 repositories listed
-
Cocoon: Robust Multi-Modal Perception with Uncertainty-Aware Sensor Fusion16 Oct 2024 0 repositories listed
-
LLM Confidence Evaluation Measures in Zero-Shot CSS Classification16 Oct 2024 0 repositories listed
-
Transfer Learning on Multi-Dimensional Data: A Novel Approach to Neural Network-Based Surrogate Modeling16 Oct 2024 0 repositories listed
-
Black-box Uncertainty Quantification Method for LLM-as-a-Judge15 Oct 2024 0 repositories listed
-
Statistical Inference in Tensor Completion: Optimal Uncertainty Quantification and Statistical-to-Computational Gaps15 Oct 2024 0 repositories listed
-
System-Level Analysis of Module Uncertainty Quantification in the Autonomy Pipeline15 Oct 2024 0 repositories listed
-
Data-Driven Uncertainty-Aware Forecasting of Sea Ice Conditions in the Gulf of Ob Based on Satellite Radar Imagery14 Oct 2024 0 repositories listed
-
Inductive Conformal Prediction under Data Scarcity: Exploring the Impacts of Nonconformity Measures13 Oct 2024 0 repositories listed
-
Provably Reliable Conformal Prediction Sets in the Presence of Data Poisoning13 Oct 2024 0 repositories listed
-
Conformalized Interactive Imitation Learning: Handling Expert Shift and Intermittent Feedback11 Oct 2024 0 repositories listed
-
MVG-CRPS: A Robust Loss Function for Multivariate Probabilistic Forecasting11 Oct 2024 0 repositories listed
-
Towards Trustworthy Knowledge Graph Reasoning: An Uncertainty Aware Perspective11 Oct 2024 0 repositories listed
-
Uncertainty-Aware Optimal Treatment Selection for Clinical Time Series11 Oct 2024 0 repositories listed
-
Conformal Prediction: A Data Perspective9 Oct 2024 0 repositories listed
-
Functional-level Uncertainty Quantification for Calibrated Fine-tuning on LLMs9 Oct 2024 0 repositories listed
-
KACQ-DCNN: Uncertainty-Aware Interpretable Kolmogorov-Arnold Classical-Quantum Dual-Channel Neural Network for Heart Disease Detection9 Oct 2024 0 repositories listed
-
Learning-Based Shielding for Safe Autonomy under Unknown Dynamics7 Oct 2024 0 repositories listed
-
Online scalable Gaussian processes with conformal prediction for guaranteed coverage7 Oct 2024 0 repositories listed
-
Zebra: In-Context and Generative Pretraining for Solving Parametric PDEs4 Oct 2024 0 repositories listed
-
An uncertainty-aware Digital Shadow for underground multimodal CO2 storage monitoring2 Oct 2024 0 repositories listed
-
Stochasticity in Motion: An Information-Theoretic Approach to Trajectory Prediction2 Oct 2024 0 repositories listed
-
Thermodynamic Bayesian Inference2 Oct 2024 0 repositories listed
-
Stabilizing the Kumaraswamy Distribution1 Oct 2024 0 repositories listed
-
Uncertainty-aware Reward Model: Teaching Reward Models to Know What is Unknown1 Oct 2024 0 repositories listed
-
A Model-Constrained Discontinuous Galerkin Network (DGNet) for Compressible Euler Equations with Out-of-Distribution Generalization27 Sep 2024 0 repositories listed
-
Functional Stochastic Gradient MCMC for Bayesian Neural Networks25 Sep 2024 0 repositories listed
-
Parameter-efficient Bayesian Neural Networks for Uncertainty-aware Depth Estimation25 Sep 2024 0 repositories listed
-
AUGUR, A flexible and efficient optimization algorithm for identification of optimal adsorption sites24 Sep 2024 0 repositories listed
-
Center-fixing of tropical cyclones using uncertainty-aware deep learning applied to high-temporal-resolution geostationary satellite imagery24 Sep 2024 0 repositories listed
-
Future-Proofing Medical Imaging with Privacy-Preserving Federated Learning and Uncertainty Quantification: A Review24 Sep 2024 0 repositories listed
-
Beyond Conformal Predictors: Adaptive Conformal Inference with Confidence Predictors23 Sep 2024 0 repositories listed
-
Deep Probability Segmentation: Are segmentation models probability estimators?19 Sep 2024 0 repositories listed
-
Graph Convolutional Neural Networks as Surrogate Models for Climate Simulation19 Sep 2024 0 repositories listed
-
Trust-informed Decision-Making Through An Uncertainty-Aware Stacked Neural Networks Framework: Case Study in COVID-19 Classification19 Sep 2024 0 repositories listed
-
Conformal Prediction for Manifold-based Source Localization with Gaussian Processes18 Sep 2024 0 repositories listed
-
Towards Gaussian Process for operator learning: an uncertainty aware resolution independent operator learning algorithm for computational mechanics17 Sep 2024 0 repositories listed
-
Real-Time Stochastic Terrain Mapping and Processing for Autonomous Safe Landing14 Sep 2024 0 repositories listed
-
Harnessing On-Machine Metrology Data for Prints with a Surrogate Model for Laser Powder Directed Energy Deposition12 Sep 2024 0 repositories listed
-
Gaussian Process Upper Confidence Bounds in Distributed Point Target Tracking over Wireless Sensor Networks11 Sep 2024 0 repositories listed
-
A Primer on Variational Inference for Physics-Informed Deep Generative Modelling10 Sep 2024 0 repositories listed
-
Stratospheric aerosol source inversion: Noise, variability, and uncertainty quantification10 Sep 2024 0 repositories listed
-
Uncertainty Quantification in Seismic Inversion Through Integrated Importance Sampling and Ensemble Methods10 Sep 2024 0 repositories listed
-
K-Fold Causal BART for CATE Estimation9 Sep 2024 0 repositories listed
-
Predicting Critical Heat Flux with Uncertainty Quantification and Domain Generalization Using Conditional Variational Autoencoders and Deep Neural Networks9 Sep 2024 0 repositories listed
-
Inference for Large Scale Regression Models with Dependent Errors8 Sep 2024 0 repositories listed
-
SEF: A Method for Computing Prediction Intervals by Shifting the Error Function in Neural Networks8 Sep 2024 0 repositories listed
-
MaskVal: Simple but Effective Uncertainty Quantification for 6D Pose Estimation5 Sep 2024 0 repositories listed
-
Non-stationary and Sparsely-correlated Multi-output Gaussian Process with Spike-and-Slab Prior5 Sep 2024 0 repositories listed
-
Prediction Accuracy & Reliability: Classification and Object Localization under Distribution Shift5 Sep 2024 0 repositories listed
-
Tensor network square root Kalman filter for online Gaussian process regression5 Sep 2024 0 repositories listed
-
Conformal Prediction in Dynamic Biological Systems4 Sep 2024 0 repositories listed
-
(Implicit) Ensembles of Ensembles: Epistemic Uncertainty Collapse in Large Models4 Sep 2024 0 repositories listed
-
Reservoir Static Property Estimation Using Nearest-Neighbor Neural Network4 Sep 2024 0 repositories listed
-
Uncertainty Quantification Using Ensemble Learning and Monte Carlo Sampling for Performance Prediction and Monitoring in Cell Culture Processes3 Sep 2024 0 repositories listed
-
Formal Verification and Control with Conformal Prediction31 Aug 2024 0 repositories listed
-
Analysis of Diagnostics (Part II): Prevalence, Linear Independence, and Unsupervised Learning28 Aug 2024 0 repositories listed
-
PersonalizedUS: Interpretable Breast Cancer Risk Assessment with Local Coverage Uncertainty Quantification28 Aug 2024 0 repositories listed
-
Uncertainty Modeling in Graph Neural Networks via Stochastic Differential Equations28 Aug 2024 0 repositories listed
-
Estimating Uncertainty with Implicit Quantile Network26 Aug 2024 0 repositories listed
-
Uncertainties of Latent Representations in Computer Vision26 Aug 2024 0 repositories listed
-
Causally-Aware Spatio-Temporal Multi-Graph Convolution Network for Accurate and Reliable Traffic Prediction23 Aug 2024 0 repositories listed
-
General Intelligent Imaging and Uncertainty Quantification by Deterministic Diffusion Model23 Aug 2024 0 repositories listed
-
How disentangled are your classification uncertainties?22 Aug 2024 0 repositories listed
-
Multilevel CNNs for Parametric PDEs based on Adaptive Finite Elements20 Aug 2024 0 repositories listed
-
Total Uncertainty Quantification in Inverse PDE Solutions Obtained with Reduced-Order Deep Learning Surrogate Models20 Aug 2024 0 repositories listed
-
Unconditional Truthfulness: Learning Conditional Dependency for Uncertainty Quantification of Large Language Models20 Aug 2024 0 repositories listed
-
Parameterized Physics-informed Neural Networks for Parameterized PDEs18 Aug 2024 0 repositories listed
-
Adaptive Uncertainty Quantification for Generative AI16 Aug 2024 0 repositories listed
-
Navigating Uncertainties in Machine Learning for Structural Dynamics: A Comprehensive Review of Probabilistic and Non-Probabilistic Approaches in Forward and Inverse Problems16 Aug 2024 0 repositories listed
-
Quantification of total uncertainty in the physics-informed reconstruction of CVSim-6 physiology13 Aug 2024 0 repositories listed
-
Quantifying uncertainty in climate projections with conformal ensembles13 Aug 2024 0 repositories listed