Combining Pseudo-Point and State Space Approximations for Sum-Separable
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Temporal Gaussian Process Regression in Logarithmic TimeFusion (Fusion), 2021 Adrien Corenflos Zheng Zhao Simo Särkkä |
Parallel Iterated Extended and Sigma-point Kalman SmoothersIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021 |
Fast Deep Mixtures of Gaussian Process ExpertsMachine-mediated learning (ML), 2020 |
Doubly Sparse Variational Gaussian ProcessesInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2020 |
Temporal Parallelization of Bayesian SmoothersIEEE Transactions on Automatic Control (IEEE TAC), 2019 Simo Särkkä Á. F. García-Fernández |
Banded Matrix Operators for Gaussian Markov Models in the Automatic
Differentiation EraInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2019 |