196 citations · 699 across the 80 of their papers we have counts for
7 papers · 1 filter
Temporal Parallelisation of the HJB Equation and Continuous-Time Linear Quadratic Control
Simo Särkkä, Ángel F. García-Fernández
This paper presents a mathematical formulation to perform temporal parallelisation of continuous-time optimal control problems, which can be solved via the Hamilton--Jacobi--Bellma…
Deep learning based projection domain metal segmentation for metal artifact reduction in cone beam computed tomography
Harshit Agrawal, Ari Hietanen, Simo Särkkä
Metal artifact correction is a challenging problem in cone beam computed tomography (CBCT) scanning. Metal implants inserted into the anatomy cause severe artifacts in reconstructe…
Parallel square-root statistical linear regression for inference in nonlinear state space models
Fatemeh Yaghoobi, Adrien Corenflos, Sakira Hassan +1
In this article, we introduce parallel-in-time methods for state and parameter estimation in general nonlinear non-Gaussian state-space models using the statistical linear regressi…
Probabilistic Estimation of Instantaneous Frequencies of Chirp Signals
Zheng Zhao, Simo Särkkä, Jens Sjölund +1
We present a continuous-time probabilistic approach for estimating the chirp signal and its instantaneous frequency function when the true forms of these functions are not accessib…
De-Sequentialized Monte Carlo: a parallel-in-time particle smoother
Adrien Corenflos, Nicolas Chopin, Simo Särkkä
Particle smoothers are SMC (Sequential Monte Carlo) algorithms designed to approximate the joint distribution of the states given observations from a state-space model. We propose…
Uncertainty-aware deep learning methods for robust diabetic retinopathy classification
Joel Jaskari, Jaakko Sahlsten, Theodoros Damoulas +5
Automatic classification of diabetic retinopathy from retinal images has been widely studied using deep neural networks with impressive results. However, there is a clinical need f…