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Uncertainty Quantification

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Showing 1201–1250 of 2366 papers

TitleStatusHype
Distributed Markov Chain Monte Carlo Sampling based on the Alternating Direction Method of MultipliersCode0
Influence of Material Parameter Variability on the Predicted Coronary Artery Biomechanical Environment via Uncertainty Quantification—0
When Geoscience Meets Generative AI and Large Language Models: Foundations, Trends, and Future Challenges—0
Towards Uncertainty-Aware Language Agent—0
Self-Improving Interference Management Based on Deep Learning With Uncertainty Quantification—0
Sparse discovery of differential equations based on multi-fidelity Gaussian process—0
Uncertainty quantification of receptor ligand binding sites prediction—0
High Confidence Level Inference is Almost Free using Parallel Stochastic Optimization—0
Evaluating the Utility of Conformal Prediction Sets for AI-Advised Image Labeling—0
Uncertainty-Aware Hardware Trojan Detection Using Multimodal Deep LearningCode0
Combining Confidence Elicitation and Sample-based Methods for Uncertainty Quantification in Misinformation Mitigation—0
A Note on Uncertainty Quantification for Maximum Likelihood Parameters Estimated with Heuristic Based Optimization Algorithms—0
Uncertainty-aware multi-fidelity surrogate modeling with noisy data—0
CreINNs: Credal-Set Interval Neural Networks for Uncertainty Estimation in Classification Tasks—0
Distribution-Free Conformal Joint Prediction Regions for Neural Marked Temporal Point ProcessesCode0
Dual-Channel Reliable Breast Ultrasound Image Classification Based on Explainable Attribution and Uncertainty Quantification—0
Data-Driven Physics-Informed Neural Networks: A Digital Twin Perspective—0
Towards Modeling Uncertainties of Self-explaining Neural Networks via Conformal Prediction—0
Epistemic Uncertainty Quantification For Pre-Trained Neural Networks—0
Bayesian Exploration of Pre-trained Models for Low-shot Image Classification—0
DiffHybrid-UQ: Uncertainty Quantification for Differentiable Hybrid Neural Modeling—0
Uncertainty-Penalized Reinforcement Learning from Human Feedback with Diverse Reward LoRA Ensembles—0
Second-Order Uncertainty Quantification: Variance-Based Measures—0
Uncertainty Quantification in Machine Learning for Joint Speaker Diarization and Identification—0
Learning from small data sets: Patch-based regularizers in inverse problems for image reconstruction—0
PULASki: Learning inter-rater variability using statistical distances to improve probabilistic segmentationCode0
Efficient Conformal Prediction under Data Heterogeneity—0
Are you sure it’s an artifact? Artifact detection and uncertainty quantification in histological imagesCode0
Make Me a BNN: A Simple Strategy for Estimating Bayesian Uncertainty from Pre-trained Models—0
Density Uncertainty Quantification with NeRF-Ensembles: Impact of Data and Scene Constraints—0
Bridging AI and Clinical Practice: Integrating Automated Sleep Scoring Algorithm with Uncertainty-Guided Physician Review—0
Beyond mirkwood: Enhancing SED Modeling with Conformal Predictions—0
Dirichlet-based Uncertainty Quantification for Personalized Federated Learning with Improved Posterior Networks—0
IntraSeismic: a coordinate-based learning approach to seismic inversion—0
Uncertainty Quantification in Heterogeneous Treatment Effect Estimation with Gaussian-Process-Based Partially Linear ModelCode0
Verification of Neural Reachable Tubes via Scenario Optimization and Conformal Prediction—0
How much can change in a year? Revisiting Evaluation in Multi-Agent Reinforcement Learning—0
The AIRI plug-and-play algorithm for image reconstruction in radio-interferometry: variations and robustness—0
Empirical Validation of Conformal Prediction for Trustworthy Skin Lesions Classification—0
Uncertainty Visualization via Low-Dimensional Posterior ProjectionsCode0
Identifying Drivers of Predictive Aleatoric UncertaintyCode0
Randomized Physics-Informed Machine Learning for Uncertainty Quantification in High-Dimensional Inverse Problems—0
Uncertainty quantification in automated valuation models with spatially weighted conformal predictionCode0
Implementing hosting capacity analysis in distribution networks: Practical considerations, advancements and future directions—0
Data-Driven Robust Covariance Control for Uncertain Linear Systems—0
Rational Kriging—0
Thermodynamic Computing System for AI Applications—0
A Study on the Calibration of In-context LearningCode0
Domain Invariant Representation Learning and Sleep Dynamics Modeling for Automatic Sleep StagingCode0
Learning-Based Approaches to Predictive Monitoring with Conformal Statistical Guarantees—0
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