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Uncertainty Quantification

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Showing 151–175 of 2366 papers

TitleStatusHype
A Taylor Series Approach to Correction of Input Errors in Gaussian Process Regression—0
Data-Driven Calibration of Prediction Sets in Large Vision-Language Models Based on Inductive Conformal Prediction—0
Evaluating Uncertainty in Deep Gaussian ProcessesCode0
SOFARI-R: High-Dimensional Manifold-Based Inference for Latent Responses—0
Data-Driven Surrogate Modeling Techniques to Predict the Effective Contact Area of Rough Surface Contact Problems—0
Statistical Guarantees in Synthetic Data through Conformal Adversarial Generation—0
A Deep Bayesian Convolutional Spiking Neural Network-based CAD system with Uncertainty Quantification for Medical Images Classification—0
Conditional Diffusion-Based Retrieval of Atmospheric CO2 from Earth Observing Spectroscopy—0
From predictions to confidence intervals: an empirical study of conformal prediction methods for in-context learning—0
Achieving Distributive Justice in Federated Learning via Uncertainty QuantificationCode0
Bayesian Federated Learning for Continual Training—0
Conformalized-KANs: Uncertainty Quantification with Coverage Guarantees for Kolmogorov-Arnold Networks (KANs) in Scientific Machine Learning—0
Uncertainty quantification of neural network models of evolving processes via Langevin sampling—0
Position: Bayesian Statistics Facilitates Stakeholder Participation in Evaluation of Generative AI—0
Learning Enhanced Structural Representations with Block-Based Uncertainties for Ocean Floor MappingCode0
Generative emulation of chaotic dynamics with coherent prior—0
Safety Monitoring for Learning-Enabled Cyber-Physical Systems in Out-of-Distribution Scenarios—0
Adaptive modelling of anti-tau treatments for neurodegenerative disorders based on the Bayesian approach with physics-informed neural networks—0
Revisiting Uncertainty Quantification Evaluation in Language Models: Spurious Interactions with Response Length Bias Results—0
Exploring the Potential for Large Language Models to Demonstrate Rational Probabilistic BeliefsCode0
Riemannian Patch Assignment Gradient Flows—0
Multi-Agent Reinforcement Learning Simulation for Environmental Policy Synthesis—0
Uncertainty Quantification in Graph Neural Networks with Shallow Ensembles—0
Safe Physics-Informed Machine Learning for Dynamics and Control—0
Leave-One-Out Stable Conformal PredictionCode0
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