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Numerically Robust Fixed-Point Smoothing Without State Augmentation
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Numerically Robust Fixed-Point Smoothing Without State Augmentation

Nicholas Krämer
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Papers citing "Numerically Robust Fixed-Point Smoothing Without State Augmentation"

12 / 12 papers shown
Title
Numerically robust Gaussian state estimation with singular observation noise
Nicholas Krämer
Filip Tronarp
100
0
0
13 Mar 2025
Adaptive Probabilistic ODE Solvers Without Adaptive Memory Requirements
Adaptive Probabilistic ODE Solvers Without Adaptive Memory Requirements
Nicholas Krämer
171
0
0
14 Oct 2024
Efficient Weight-Space Laplace-Gaussian Filtering and Smoothing for Sequential Deep Learning
Efficient Weight-Space Laplace-Gaussian Filtering and Smoothing for Sequential Deep Learning
Joanna Sliwa
Frank Schneider
Nathanael Bosch
Agustinus Kristiadi
Philipp Hennig
BDLCLL
108
2
0
09 Oct 2024
Mamba: Linear-Time Sequence Modeling with Selective State Spaces
Mamba: Linear-Time Sequence Modeling with Selective State Spaces
Albert Gu
Tri Dao
Mamba
286
3,776
0
01 Dec 2023
Low-rank extended Kalman filtering for online learning of neural networks from streaming data
Low-rank extended Kalman filtering for online learning of neural networks from streaming data
Peter Chang
Gerardo Duran-Martín
Alexander Y. Shestopaloff
Matt Jones
Kevin P. Murphy
BDL
175
20
0
31 May 2023
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 models
F. Yaghoobi
Adrien Corenflos
Sakira Hassan
Simo Särkkä
97
7
0
29 Jun 2022
Stable Implementation of Probabilistic ODE Solvers
Stable Implementation of Probabilistic ODE Solvers
Nicholas Kramer
Philipp Hennig
264
22
0
18 Dec 2020
Calibrated Adaptive Probabilistic ODE Solvers
Calibrated Adaptive Probabilistic ODE Solvers
Nathanael Bosch
Philipp Hennig
Filip Tronarp
186
30
0
15 Dec 2020
Universal Differential Equations for Scientific Machine Learning
Universal Differential Equations for Scientific Machine Learning
Christopher Rackauckas
Yingbo Ma
Julius Martensen
Collin Warner
K. Zubov
R. Supekar
Dominic J. Skinner
Ali Ramadhan
Alan Edelman
AI4CE
234
637
0
13 Jan 2020
Temporal Parallelization of Bayesian Smoothers
Temporal Parallelization of Bayesian Smoothers
Simo Särkkä
Á. F. García-Fernández
244
42
0
30 May 2019
A probabilistic model for the numerical solution of initial value problems
A probabilistic model for the numerical solution of initial value problems
Michael Schober
Simo Särkkä
Philipp Hennig
118
86
0
17 Oct 2016
Probabilistic ODE Solvers with Runge-Kutta Means
Probabilistic ODE Solvers with Runge-Kutta Means
Michael Schober
David Duvenaud
Philipp Hennig
195
121
0
10 Jun 2014

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