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Carl Jidling
Carl Jidling
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Cited by
Cited by
Year
The effect of interventions on COVID-19
K Soltesz, F Gustafsson, T Timpka, J Jaldén, C Jidling, A Heimerson, ...
Nature 588 (7839), E26-E28, 2020
1462020
Linearly constrained Gaussian processes
C Jidling, N Wahlström, A Wills, TB Schön
Advances in neural information processing systems 30, 2017
1312017
Probabilistic modelling and reconstruction of strain
C Jidling, J Hendriks, N Wahlström, A Gregg, TB Schön, C Wensrich, ...
Nuclear Instruments and Methods in Physics Research Section B: Beam …, 2018
522018
Linearly constrained neural networks
J Hendriks, C Jidling, A Wills, T Schön
arXiv preprint arXiv:2002.01600, 2020
422020
Probabilistic approach to limited-data computed tomography reconstruction
Z Purisha, C Jidling, N Wahlström, TB Schön, S Särkkä
Inverse Problems 35 (10), 105004, 2019
232019
On the sensitivity of non-pharmaceutical intervention models for SARS-CoV-2 spread estimation
K Soltesz, F Gustafsson, T Timpka, J Jaldén, C Jidling, A Heimerson, ...
MedRxiv, 2020.06. 10.20127324, 2020
82020
A fast quasi-Newton-type method for large-scale stochastic optimisation
A Wills, TB Schön, C Jidling
IFAC-PapersOnLine 53 (2), 1249-1254, 2020
82020
Evaluating the squared-exponential covariance function in gaussian processes with integral observations
JN Hendriks, C Jidling, A Wills, TB Schön
arXiv preprint arXiv:1812.07319, 2018
82018
Neutron transmission strain tomography for non-constant stress-free lattice spacing
JN Hendriks, C Jidling, TB Schön, A Wills, CM Wensrich, EH Kisi
Nuclear Instruments and Methods in Physics Research Section B: Beam …, 2019
62019
Modelling bivariate distributions using kernel density estimation
A Bilock, C Jidling, Y Rydin
Uppsala University: Uppsala, Sweden, 2016
52016
A Probabilistically Motivated Learning Rate Adaptation for Stochastic Optimization
F De Roos, C Jidling, A Wills, T Schön, P Hennig
arXiv preprint arXiv:2102.10880, 2021
42021
Sensitivity analysis of the effects of non-pharmaceutical interventions on COVID-19 in Europe
K Soltesz, F Gustafsson, T Timpka, J Jaldén, C Jidling, A Heimerson, ...
medRxiv, 2020.06. 15.20131953, 2020
42020
Deep kernel learning for integral measurements
C Jidling, J Hendriks, TB Schön, A Wills
arXiv preprint arXiv:1909.01844, 2019
42019
Incorporating Sum Constraints into Multitask Gaussian Processes
P Pilar, C Jidling, TB Schön, N Wahlström
arXiv preprint arXiv:2202.01793, 2022
32022
Strain Field Modelling Using Gaussian Processes
C Jidling
32017
Memory efficient constrained optimization of scanning-beam lithography
C Jidling, AJ Fleming, AG Wills, TB Schön
Optics Express 30 (12), 20564-20579, 2022
22022
Screening for Chagas disease from the electrocardiogram using a deep neural network
C Jidling, D Gedon, TB Schön, CDL Oliveira, CS Cardoso, AM Ferreira, ...
PLoS Neglected Tropical Diseases 17 (7), e0011118, 2023
12023
Tailoring Gaussian processes for tomographic reconstruction
C Jidling
Uppsala University, 2019
12019
Tailoring Gaussian processes and large-scale optimisation
C Jidling
Acta Universitatis Upsaliensis, 2022
2022
Supplementary Material Linearly constrained Gaussian processes
C Jidling, N Wahlström, A Wills, TB Schön
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