Carl Jidling

Publication Activity (10 Years)

Years Active: 2017-2022
Publications (10 Years): 10

Top Topics

Gaussian Process

Multi Task Learning

Top Venues

Trans. Mach. Learn. Res.

Publications

Philipp Pilar, Carl Jidling, Thomas B. Schön, Niklas Wahlström
Incorporating Sum Constraints into Multitask Gaussian Processes. CoRR (2022)
Philipp Pilar, Carl Jidling, Thomas B. Schön, Niklas Wahlström
Incorporating Sum Constraints into Multitask Gaussian Processes. Trans. Mach. Learn. Res. 2022 (2022)
Filip de Roos, Carl Jidling, Adrian Wills, Thomas B. Schön, Philipp Hennig
A Probabilistically Motivated Learning Rate Adaptation for Stochastic Optimization. CoRR (2021)
Johannes N. Hendriks, Carl Jidling, Adrian Wills, Thomas B. Schön
Linearly Constrained Neural Networks. CoRR (2020)
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
The effect of interventions on COVID-19. Nat. 588 (7839) (2020)
Carl Jidling, Johannes N. Hendriks, Thomas B. Schön, Adrian Wills
Deep kernel learning for integral measurements. CoRR (2019)
Zenith Purisha, Carl Jidling, Niklas Wahlström, Simo Särkkä, Thomas B. Schön
Probabilistic approach to limited-data computed tomography reconstruction. CoRR (2018)
Adrian Wills, Carl Jidling, Thomas B. Schön
A fast quasi-Newton-type method for large-scale stochastic optimisation. CoRR (2018)
Johannes N. Hendriks, Carl Jidling, Adrian Wills, Thomas B. Schön
Evaluating the squared-exponential covariance function in Gaussian processes with integral observations. CoRR (2018)
Carl Jidling, Niklas Wahlström, Adrian Wills, Thomas B. Schön
Linearly constrained Gaussian processes. NIPS (2017)