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Uncertainty Quantification

Papers

Showing 161170 of 2366 papers

TitleStatusHype
Bayesian Federated Learning for Continual Training0
Uncertainty quantification of neural network models of evolving processes via Langevin sampling0
Conformalized-KANs: Uncertainty Quantification with Coverage Guarantees for Kolmogorov-Arnold Networks (KANs) in Scientific Machine Learning0
Position: Bayesian Statistics Facilitates Stakeholder Participation in Evaluation of Generative AI0
Learning Enhanced Structural Representations with Block-Based Uncertainties for Ocean Floor MappingCode0
Generative emulation of chaotic dynamics with coherent prior0
Safety Monitoring for Learning-Enabled Cyber-Physical Systems in Out-of-Distribution Scenarios0
Adaptive modelling of anti-tau treatments for neurodegenerative disorders based on the Bayesian approach with physics-informed neural networks0
Exploring the Potential for Large Language Models to Demonstrate Rational Probabilistic BeliefsCode0
Revisiting Uncertainty Quantification Evaluation in Language Models: Spurious Interactions with Response Length Bias Results0
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