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TIC-TAC: A Framework for Improved Covariance Estimation in Deep Heteroscedastic Regression

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2023

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TIC-TAC: A Framework for Improved Covariance Estimation in Deep Heteroscedastic Regression

Towards a multiscale point cloud structural similarity metric

Rapid motion estimation and correction using self-encoded FID navigators in 3D radial MRI

Higher Order Asymptotics: Applications to Satellite Conjunction and Boundary Problems

Small-scale dynamo with finite correlation times

An Unbiased Method of Measuring the Ratio of Two Data Sets

Predictive performance of multi-model ensemble forecasts of COVID-19 across European nations

Saliency prediction in 360° architectural scenes: Performance and impact of daylight variations

Data-Driven Control and Optimization under Noisy and Uncertain Conditions

Covariance Estimation for Random Surfaces beyond Separability

Graph Chatbot

Towards a multiscale point cloud structural similarity metric

Rapid motion estimation and correction using self-encoded FID navigators in 3D radial MRI

Higher Order Asymptotics: Applications to Satellite Conjunction and Boundary Problems

Small-scale dynamo with finite correlation times

An Unbiased Method of Measuring the Ratio of Two Data Sets

Predictive performance of multi-model ensemble forecasts of COVID-19 across European nations

Saliency prediction in 360° architectural scenes: Performance and impact of daylight variations

Data-Driven Control and Optimization under Noisy and Uncertain Conditions

Random Surface Covariance Estimation by Shifted Partial Tracing

Covariance Estimation for Random Surfaces beyond Separability

Random Surface Covariance Estimation by Shifted Partial Tracing