Computation-Aware Kalman Filtering and Smoothing

Computation-Aware Kalman Filtering and Smoothing

13 March 2025

Marvin Pfortner

Jonathan Wenger

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Papers citing "Computation-Aware Kalman Filtering and Smoothing"

18 / 18 papers shown

Title
Online Conformal Probabilistic Numerics via Adaptive Edge-Cloud Offloading Qiushuo Hou Sangwoo Park Matteo Zecchin Yunlong Cai G. Yu Osvaldo Simeone 247 0 0 18 Mar 2025
Computation-Aware Gaussian Processes: Model Selection And Linear-Time Inference Jonathan Wenger Kaiwen Wu Philipp Hennig Jacob R. Gardner Geoff Pleiss John P. Cunningham 65 7 0 01 Nov 2024
Calibrated Computation-Aware Gaussian Processes Disha Hegde Mohamed Adil Jon Cockayne 56 5 0 11 Oct 2024
The Rank-Reduced Kalman Filter: Approximate Dynamical-Low-Rank Filtering In High Dimensions Jonathan Schmidt Philipp Hennig Jorg Nick Filip Tronarp 46 10 0 13 Jun 2023
Posterior and Computational Uncertainty in Gaussian Processes Jonathan Wenger Geoff Pleiss Marvin Pfortner Philipp Hennig John P. Cunningham 131 20 0 30 May 2022
Spatio-Temporal Variational Gaussian Processes Oliver Hamelijnck William J. Wilkinson Niki A. Loppi Arno Solin Theodoros Damoulas AI4TS 62 35 0 02 Nov 2021
Probabilistic Linear Solvers for Machine Learning Jonathan Wenger Philipp Hennig 70 17 0 19 Oct 2020
Fast Matrix Square Roots with Applications to Gaussian Processes and Bayesian Optimization Geoff Pleiss M. Jankowiak David Eriksson Anil Damle Jacob R. Gardner 65 43 0 19 Jun 2020
Efficiently Sampling Functions from Gaussian Process Posteriors James T. Wilson Viacheslav Borovitskiy Alexander Terenin P. Mostowsky M. Deisenroth 56 165 0 21 Feb 2020
Temporal Parallelization of Bayesian Smoothers Simo Särkkä Á. F. García-Fernández 173 41 0 30 May 2019
Learning Latent Dynamics for Planning from Pixels Danijar Hafner Timothy Lillicrap Ian S. Fischer Ruben Villegas David R Ha Honglak Lee James Davidson BDL 88 1,446 0 12 Nov 2018
Gaussian Processes and Kernel Methods: A Review on Connections and Equivalences Motonobu Kanagawa Philipp Hennig Dino Sejdinovic Bharath K. Sriperumbudur GP BDL 144 344 0 06 Jul 2018
Efficient Spatio-Temporal Gaussian Regression via Kalman Filtering M. Todescato Andrea Carron R. Carli G. Pillonetto Luca Schenato 31 26 0 03 May 2017
Bayesian Probabilistic Numerical Methods Jon Cockayne Chris J. Oates T. Sullivan Mark Girolami 80 166 0 13 Feb 2017
On dimension reduction in Gaussian filters A. Solonen Tiangang Cui J. Hakkarainen Youssef Marzouk 36 22 0 26 Aug 2015
Probabilistic Numerics and Uncertainty in Computations Philipp Hennig Michael A. Osborne Mark Girolami 76 307 0 03 Jun 2015
Probabilistic Interpretation of Linear Solvers Philipp Hennig 73 104 0 10 Feb 2014
Infinite-dimensional Bayesian filtering for detection of quasi-periodic phenomena in spatio-temporal data Arno Solin Simo Särkkä 63 24 0 11 Mar 2013

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