Carl Jidling

According to our database, Carl Jidling authored at least 10 papers between 2017 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Tailoring Gaussian processes and large-scale optimisation.

Carl Jidling

PhD thesis, 2022

Incorporating Sum Constraints into Multitask Gaussian Processes.

Philipp Pilar, Carl Jidling, Thomas B. Schön, Niklas Wahlström

Trans. Mach. Learn. Res., 2022

2021

A Probabilistically Motivated Learning Rate Adaptation for Stochastic Optimization.

Filip de Roos, Carl Jidling, Adrian Wills, Thomas B. Schön, Philipp Hennig

CoRR, 2021

2020

The effect of interventions on COVID-19.

Kristian Soltesz, Fredrik Gustafsson, Toomas Timpka, Joakim Jaldén, Carl Jidling, Albin Heimerson, Thomas B. Schön, Armin Spreco, Joakim Ekberg, Örjan Dahlström, Fredrik Bagge Carlson, Anna Jöud, Bo Bernhardsson

Nat., 2020

Linearly Constrained Neural Networks.

Johannes N. Hendriks, Carl Jidling, Adrian Wills, Thomas B. Schön

CoRR, 2020

2019

Deep kernel learning for integral measurements.

Carl Jidling, Johannes N. Hendriks, Thomas B. Schön, Adrian Wills

CoRR, 2019

2018

Evaluating the squared-exponential covariance function in Gaussian processes with integral observations.

Johannes N. Hendriks, Carl Jidling, Adrian Wills, Thomas B. Schön

CoRR, 2018

A fast quasi-Newton-type method for large-scale stochastic optimisation.

Adrian Wills, Carl Jidling, Thomas B. Schön

CoRR, 2018

Probabilistic approach to limited-data computed tomography reconstruction.

Zenith Purisha, Carl Jidling, Niklas Wahlström, Simo Särkkä, Thomas B. Schön

CoRR, 2018

2017

Linearly constrained Gaussian processes.

Carl Jidling, Niklas Wahlström, Adrian Wills, Thomas B. Schön

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017