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Lyudmila Mihaylova

Review of Recent Advances in Gaussian Process Regression Methods

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Sep 12, 2024
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Gaussian Process Upper Confidence Bounds in Distributed Point Target Tracking over Wireless Sensor Networks

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Sep 11, 2024
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Out-of-distribution Object Detection through Bayesian Uncertainty Estimation

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Oct 29, 2023
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Robust Learning via Ensemble Density Propagation in Deep Neural Networks

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Nov 10, 2021
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Scalable Learning With a Structural Recurrent Neural Network for Short-Term Traffic Prediction

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Mar 03, 2021
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Variational Bayesian inference of hidden stochastic processes with unknown parameters

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Nov 02, 2019
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Structural Recurrent Neural Network for Traffic Speed Prediction

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Feb 18, 2019
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Uncertainty propagation in neural networks for sparse coding

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Nov 29, 2018
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A Capsule Network for Traffic Speed Prediction in Complex Road Networks

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Sep 21, 2018
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Spatio-Temporal Structured Sparse Regression with Hierarchical Gaussian Process Priors

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Jul 15, 2018
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