Tapio Helin

According to our database, Tapio Helin authored at least 18 papers between 2010 and 2024.

Collaborative distances:

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

2024

Least Squares Approximations in Linear Statistical Inverse Learning Problems.

Tapio Helin

SIAM J. Numer. Anal., 2024

Gradient-Based Non-Linear Inverse Learning.

Abhishake, Nicole Mücke, Tapio Helin

CoRR, 2024

Learning sparsity-promoting regularizers for linear inverse problems.

Giovanni S. Alberti, Ernesto De Vito, Tapio Helin, Matti Lassas, Luca Ratti, Matteo Santacesaria

CoRR, 2024

Surrogate model for Bayesian optimal experimental design in chromatography.

Jose Rodrigo Rojo-Garcia, Heikki Haario, Tapio Helin, Tuomo Sainio

CoRR, 2024

Reducing the cost of posterior sampling in linear inverse problems via task-dependent score learning.

Fabian Schneider, Duc-Lam Duong, Matti Lassas, Maarten V. de Hoop, Tapio Helin

CoRR, 2024

Recovery of transversely-isotropic elastic material parameters in induction motor rotors.

Hanz Martin Cheng, Tapio Helin, Ville-Petteri Manninen, Timo Holopainen, Juha Jokinen, Samu Sorvari, Andreas Rupp

CoRR, 2024

Laboratory Experiments of Model-based Reinforcement Learning for Adaptive Optics Control.

Jalo Nousiainen, Byron Engler, Markus Kasper, Chang Rajani, Tapio Helin, Cédric T. Heritier, Sascha P. Quanz, Adrian M. Glauser

CoRR, 2024

2023

Bayesian design of measurements for magnetorelaxometry imaging.

Tapio Helin, Nuutti Hyvönen, Jarno Maaninen, Juha-Pekka Puska

CoRR, 2023

Introduction To Gaussian Process Regression In Bayesian Inverse Problems, With New ResultsOn Experimental Design For Weighted Error Measures.

Tapio Helin, Andrew M. Stuart, Aretha L. Teckentrup, Konstantinos Zygalakis

CoRR, 2023

2022

Edge-Promoting Adaptive Bayesian Experimental Design for X-ray Imaging.

Tapio Helin, Nuutti Hyvönen, Juha-Pekka Puska

SIAM J. Sci. Comput., 2022

Non-asymptotic error estimates for the Laplace approximation in Bayesian inverse problems.

Tapio Helin, Remo Kretschmann

Numerische Mathematik, 2022

Stability estimates for the expected utility in Bayesian optimal experimental design.

Duc-Lam Duong, Tapio Helin, Jose Rodrigo Rojo-Garcia

CoRR, 2022

Towards on-sky adaptive optics control using reinforcement learning.

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

CoRR, 2022

2021

Convex regularization in statistical inverse learning problems.

Tatiana A. Bubba, Martin Burger, Tapio Helin, Luca Ratti

CoRR, 2021

2020

Sequentially optimized projections in X-ray imaging.

Martin Burger, Andreas Hauptmann, Tapio Helin, Nuutti Hyvönen, Juha-Pekka Puska

CoRR, 2020

Modelling internal knot distribution using external log features.

Fedor Zolotarev, Tuomas Eerola, Lasse Lensu, Heikki Kälviäinen, Tapio Helin, Heikki Haario, Tomi Kauppi, Jere Heikkinen

Comput. Electron. Agric., 2020

2019

Generalized Modes in Bayesian Inverse Problems.

Christian Clason, Tapio Helin, Remo Kretschmann, Petteri Piiroinen

SIAM/ASA J. Uncertain. Quantification, 2019

2010

Infinite Photography: New Mathematical Model for High-Resolution Images.

Tapio Helin, Matti Lassas, Samuli Siltanen

J. Math. Imaging Vis., 2010