Infinite Photography: New Mathematical Model for High-Resolution Images. - Tapio Helin; Matti Lassas; Samuli Siltanen (J. Math. Imaging Vis., 2010)

Generalized Modes in Bayesian Inverse Problems. - Christian Clason; Tapio Helin; Remo Kretschmann; Petteri Piiroinen (SIAM/ASA J. Uncertain. Quantification, 2019)

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)

Sequentially optimized projections in X-ray imaging. - Martin Burger 001; Andreas Hauptmann; Tapio Helin; Nuutti Hyvönen; Juha-Pekka Puska (CoRR, 2020)

Convex regularization in statistical inverse learning problems. - Tatiana A. Bubba; Martin Burger 001; Tapio Helin; Luca Ratti (CoRR, 2021)

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; et al. (CoRR, 2022)

Stability estimates for the expected utility in Bayesian optimal experimental design. - Duc-Lam Duong; Tapio Helin; Jose Rodrigo Rojo-Garcia (CoRR, 2022)

Non-asymptotic error estimates for the Laplace approximation in Bayesian inverse problems. - Tapio Helin; Remo Kretschmann (Numerische Mathematik, 2022)

Edge-Promoting Adaptive Bayesian Experimental Design for X-ray Imaging. - Tapio Helin; Nuutti Hyvönen; Juha-Pekka Puska (SIAM J. Sci. Comput., 2022)

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)

Bayesian design of measurements for magnetorelaxometry imaging. - Tapio Helin; Nuutti Hyvönen; Jarno Maaninen; Juha-Pekka Puska (CoRR, 2023)

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)

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)

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)

Surrogate model for Bayesian optimal experimental design in chromatography. - Jose Rodrigo Rojo-Garcia; Heikki Haario; Tapio Helin; Tuomo Sainio (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)

Gradient-Based Non-Linear Inverse Learning. - Abhishake; Nicole Mücke; Tapio Helin (CoRR, 2024)

Least Squares Approximations in Linear Statistical Inverse Learning Problems. - Tapio Helin (SIAM J. Numer. Anal., 2024)

Bayesian optimal experimental design with Wasserstein information criteria. - Tapio Helin; Youssef Marzouk 001; Jose Rodrigo Rojo-Garcia (CoRR, 2025)