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Temporal Parallelization of Inference in Hidden Markov Models
v1v2 (latest)

Temporal Parallelization of Inference in Hidden Markov Models

IEEE Transactions on Signal Processing (IEEE TSP), 2021
10 February 2021
S. S. Hassan
Simo Särkkä
Á. F. García-Fernández
    TPM
ArXiv (abs)PDFHTML

Papers citing "Temporal Parallelization of Inference in Hidden Markov Models"

9 / 9 papers shown
A Unifying Framework for Parallelizing Sequential Models with Linear Dynamical Systems
A Unifying Framework for Parallelizing Sequential Models with Linear Dynamical Systems
Xavier Gonzalez
E. Kelly Buchanan
Hyun Dong Lee
Jerry W. Liu
Ke Alexander Wang
D. Zoltowski
Christopher Ré
Scott W. Linderman
Scott W. Linderman
MoMeLRM
170
3
0
26 Sep 2025
SING: SDE Inference via Natural Gradients
SING: SDE Inference via Natural Gradients
Amber Hu
Henry Smith
Scott W. Linderman
DiffM
236
2
0
21 Jun 2025
Parallel state estimation for systems with integrated measurements
Parallel state estimation for systems with integrated measurementsIEEE Signal Processing Letters (SPL), 2024
F. Yaghoobi
Simo Särkkä
123
1
0
01 Oct 2024
Quick Adaptive Ternary Segmentation: An Efficient Decoding Procedure For Hidden Markov Models
Quick Adaptive Ternary Segmentation: An Efficient Decoding Procedure For Hidden Markov ModelsJournal of Computational And Graphical Statistics (JCGS), 2023
Alexandre Mösching
Housen Li
Axel Munk
225
1
0
29 May 2023
Fast Dynamic Programming in Trees in the MPC Model
Fast Dynamic Programming in Trees in the MPC ModelACM Symposium on Parallelism in Algorithms and Architectures (SPAA), 2023
Chetan Gupta
R. Latypov
Yannic Maus
Shreyas Pai
Simo Särkkä
Jan Studený
Jukka Suomela
Jara Uitto
Hossein Vahidi
162
5
0
05 May 2023
Temporal Parallelisation of the HJB Equation and Continuous-Time Linear
  Quadratic Control
Temporal Parallelisation of the HJB Equation and Continuous-Time Linear Quadratic ControlIEEE Transactions on Automatic Control (TAC), 2022
Simo Särkkä
Á. F. García-Fernández
191
0
0
22 Dec 2022
Parallel square-root statistical linear regression for inference in
  nonlinear state space models
Parallel square-root statistical linear regression for inference in nonlinear state space modelsSIAM Journal on Scientific Computing (SISC), 2022
F. Yaghoobi
Adrien Corenflos
Sakira Hassan
Simo Särkkä
296
10
0
29 Jun 2022
De-Sequentialized Monte Carlo: a parallel-in-time particle smoother
De-Sequentialized Monte Carlo: a parallel-in-time particle smootherJournal of machine learning research (JMLR), 2022
Adrien Corenflos
Nicolas Chopin
Simo Särkkä
199
8
0
04 Feb 2022
Temporal Parallelisation of Dynamic Programming and Linear Quadratic
  Control
Temporal Parallelisation of Dynamic Programming and Linear Quadratic ControlIEEE Transactions on Automatic Control (IEEE TAC), 2021
Simo Särkkä
Á. F. García-Fernández
203
17
0
07 Apr 2021
1
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