Tapio Helin

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 16

Top Topics

Experimental Design

Inverse Problems

Top Venues

Comput. Electron. Agric.

SIAM/ASA J. Uncertain. Quantification

Numerische Mathematik

Publications

Fabian Schneider, Duc-Lam Duong, Matti Lassas, Maarten V. de Hoop, Tapio Helin
Reducing the cost of posterior sampling in linear inverse problems via task-dependent score learning. CoRR (2024)
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 (2024)
Jose Rodrigo Rojo-Garcia, Heikki Haario, Tapio Helin, Tuomo Sainio
Surrogate model for Bayesian optimal experimental design in chromatography. CoRR (2024)
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 (2024)
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 (2023)
Tapio Helin, Nuutti Hyvönen, Jarno Maaninen, Juha-Pekka Puska
Bayesian design of measurements for magnetorelaxometry imaging. CoRR (2023)
Tapio Helin, Nuutti Hyvönen, Juha-Pekka Puska
Edge-Promoting Adaptive Bayesian Experimental Design for X-ray Imaging. SIAM J. Sci. Comput. 44 (3) (2022)
Duc-Lam Duong, Tapio Helin, Jose Rodrigo Rojo-Garcia
Stability estimates for the expected utility in Bayesian optimal experimental design. CoRR (2022)
Tapio Helin, Remo Kretschmann
Non-asymptotic error estimates for the Laplace approximation in Bayesian inverse problems. Numerische Mathematik 150 (2) (2022)
Tapio Helin
Least squares approximations in linear statistical inverse learning problems. CoRR (2022)
Tatiana A. Bubba, Martin Burger, Tapio Helin, Luca Ratti
Convex regularization in statistical inverse learning problems. CoRR (2021)
Tapio Helin, Nuutti Hyvönen, Juha-Pekka Puska
Edge-promoting adaptive Bayesian experimental design for X-ray imaging. CoRR (2021)
Tapio Helin, Remo Kretschmann
Non-asymptotic error estimates for the Laplace approximation in Bayesian inverse problems. CoRR (2020)
Martin Burger, Andreas Hauptmann, Tapio Helin, Nuutti Hyvönen, Juha-Pekka Puska
Sequentially optimized projections in X-ray imaging. CoRR (2020)
Fedor Zolotarev, Tuomas Eerola, Lasse Lensu, Heikki Kälviäinen, Tapio Helin, Heikki Haario, Tomi Kauppi, Jere Heikkinen
Modelling internal knot distribution using external log features. Comput. Electron. Agric. 179 (2020)
Christian Clason, Tapio Helin, Remo Kretschmann, Petteri Piiroinen
Generalized Modes in Bayesian Inverse Problems. SIAM/ASA J. Uncertain. Quantification 7 (2) (2019)
Tapio Helin, Matti Lassas, Samuli Siltanen
Infinite Photography: New Mathematical Model for High-Resolution Images. J. Math. Imaging Vis. 36 (2) (2010)