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Tapio Helin
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2020 – today
- 2024
- [j6]Tapio Helin
:
Least Squares Approximations in Linear Statistical Inverse Learning Problems. SIAM J. Numer. Anal. 62(4): 2025-2047 (2024) - [i13]Jalo Nousiainen, Byron Engler, Markus Kasper, Chang Rajani, Tapio Helin, Cédric T. Heritier, Sascha P. Quanz, Adrian M. Glauser:
Laboratory Experiments of Model-based Reinforcement Learning for Adaptive Optics Control. CoRR abs/2401.00242 (2024) - [i12]Hanz Martin Cheng, Tapio Helin, Ville-Petteri Manninen, Timo Holopainen, Juha Jokinen, Samu Sorvari, Andreas Rupp:
Recovery of transversely-isotropic elastic material parameters in induction motor rotors. CoRR abs/2405.06388 (2024) - [i11]Fabian Schneider, Duc-Lam Duong
Reducing the cost of posterior sampling in linear inverse problems via task-dependent score learning. CoRR abs/2405.15643 (2024) - [i10]Jose Rodrigo Rojo-Garcia, Heikki Haario, Tapio Helin, Tuomo Sainio:
Surrogate model for Bayesian optimal experimental design in chromatography. CoRR abs/2406.19835 (2024) - 2023
- [i9]Tapio Helin, Andrew M. Stuart, Aretha L. Teckentrup, Konstantinos Zygalakis:
Introduction To Gaussian Process Regression In Bayesian Inverse Problems, With New ResultsOn Experimental Design For Weighted Error Measures. CoRR abs/2302.04518 (2023) - [i8]Tapio Helin, Nuutti Hyvönen, Jarno Maaninen, Juha-Pekka Puska:
Bayesian design of measurements for magnetorelaxometry imaging. CoRR abs/2305.19940 (2023) - 2022
- [j5]Tapio Helin
Non-asymptotic error estimates for the Laplace approximation in Bayesian inverse problems. Numerische Mathematik 150(2): 521-549 (2022) - [j4]Tapio Helin
Edge-Promoting Adaptive Bayesian Experimental Design for X-ray Imaging. SIAM J. Sci. Comput. 44(3): 506- (2022) - [i7]Jalo Nousiainen, Chang Rajani, Markus Kasper, Tapio Helin, Sebastiaan Y. Haffert, Christophe Vérinaud, Jared R. Males, Kyle Van Gorkom, Laird M. Close, Joseph D. Long, Alexander D. Hedglen, Olivier Guyon, Lauren Schatz, Maggie Kautz, Jennifer Lumbres, Alexander Rodack, Justin M. Knight, Kelsey Miller:
Towards on-sky adaptive optics control using reinforcement learning. CoRR abs/2205.07554 (2022) - [i6]Duc-Lam Duong
Stability estimates for the expected utility in Bayesian optimal experimental design. CoRR abs/2211.04399 (2022) - [i5]Tapio Helin:
Least squares approximations in linear statistical inverse learning problems. CoRR abs/2211.12121 (2022) - 2021
- [i4]Tatiana A. Bubba, Martin Burger, Tapio Helin, Luca Ratti:
Convex regularization in statistical inverse learning problems. CoRR abs/2102.09526 (2021) - [i3]Tapio Helin, Nuutti Hyvönen, Juha-Pekka Puska:
Edge-promoting adaptive Bayesian experimental design for X-ray imaging. CoRR abs/2104.00301 (2021) - 2020
- [j3]Fedor Zolotarev, Tuomas Eerola
Modelling internal knot distribution using external log features. Comput. Electron. Agric. 179: 105795 (2020) - [i2]Martin Burger, Andreas Hauptmann, Tapio Helin, Nuutti Hyvönen, Juha-Pekka Puska:
Sequentially optimized projections in X-ray imaging. CoRR abs/2006.12579 (2020) - [i1]Tapio Helin, Remo Kretschmann:
Non-asymptotic error estimates for the Laplace approximation in Bayesian inverse problems. CoRR abs/2012.06603 (2020)
2010 – 2019
- 2019
- [j2]Christian Clason
Generalized Modes in Bayesian Inverse Problems. SIAM/ASA J. Uncertain. Quantification 7(2): 652-684 (2019) - 2010
- [j1]Tapio Helin
Infinite Photography: New Mathematical Model for High-Resolution Images. J. Math. Imaging Vis. 36(2): 140-158 (2010)
Coauthor Index
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last updated on 2024-10-07 21:20 CEST by the dblp team
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