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Carl Jidling
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2020 – today
- 2022
- [b1]Carl Jidling:
Tailoring Gaussian processes and large-scale optimisation. Uppsala University, Sweden, 2022 - [j2]Philipp Pilar, Carl Jidling, Thomas B. Schön, Niklas Wahlström:
Incorporating Sum Constraints into Multitask Gaussian Processes. Trans. Mach. Learn. Res. 2022 (2022) - [i7]Philipp Pilar, Carl Jidling, Thomas B. Schön, Niklas Wahlström:
Incorporating Sum Constraints into Multitask Gaussian Processes. CoRR abs/2202.01793 (2022) - 2021
- [i6]Filip de Roos, Carl Jidling, Adrian Wills, Thomas B. Schön, Philipp Hennig:
A Probabilistically Motivated Learning Rate Adaptation for Stochastic Optimization. CoRR abs/2102.10880 (2021) - 2020
- [j1]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): E26-E28 (2020) - [i5]Johannes N. Hendriks, Carl Jidling, Adrian Wills, Thomas B. Schön:
Linearly Constrained Neural Networks. CoRR abs/2002.01600 (2020)
2010 – 2019
- 2019
- [i4]Carl Jidling, Johannes N. Hendriks, Thomas B. Schön, Adrian Wills:
Deep kernel learning for integral measurements. CoRR abs/1909.01844 (2019) - 2018
- [i3]Zenith Purisha, Carl Jidling, Niklas Wahlström, Simo Särkkä, Thomas B. Schön:
Probabilistic approach to limited-data computed tomography reconstruction. CoRR abs/1809.03779 (2018) - [i2]Adrian Wills, Carl Jidling, Thomas B. Schön:
A fast quasi-Newton-type method for large-scale stochastic optimisation. CoRR abs/1810.01269 (2018) - [i1]Johannes N. Hendriks, Carl Jidling, Adrian Wills, Thomas B. Schön:
Evaluating the squared-exponential covariance function in Gaussian processes with integral observations. CoRR abs/1812.07319 (2018) - 2017
- [c1]Carl Jidling, Niklas Wahlström, Adrian Wills, Thomas B. Schön:
Linearly constrained Gaussian processes. NIPS 2017: 1215-1224
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