Tapio Helin - RankMe

26 papers Journal 26

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Learning Sparsity-Promoting Regularizers for Linear Inverse Problems. SIAM J. Math. Data Sci. Giovanni S. Alberti, Ernesto De Vito, Tapio Helin, Matti Lassas, Luca Ratti, Matteo Santacesaria
2026	J	`jnl`	Score-based diffusion models for diffuse optical tomography with uncertainty quantification. CoRR Fabian Schneider, Meghdoot Mozumder, Konstantin Tamarov, Leila Taghizadeh, Tanja Tarvainen, Tapio Helin, Duc-Lam Duong
2025	J	`jnl`	An Unconditional Representation of the Conditional Score in Infinite Dimensional Linear Inverse Problems. Trans. Mach. Learn. Res. Fabian Schneider, Duc-Lam Duong, Matti Lassas, Maarten V. de Hoop, Tapio Helin
2025	J	`jnl`	Approximation of differential entropy in Bayesian optimal experimental design. CoRR Chuntao Chen, Tapio Helin, Nuutti Hyvönen, Yuya Suzuki
2025	J	`jnl`	Bayesian optimal experimental design with Wasserstein information criteria. CoRR Tapio Helin, Youssef Marzouk, Jose Rodrigo Rojo-Garcia
2024	J	`jnl`	Gradient-Based Non-Linear Inverse Learning. CoRR Abhishake, Nicole Mücke, Tapio Helin
2024	J	`jnl`	Laboratory Experiments of Model-based Reinforcement Learning for Adaptive Optics Control. CoRR Jalo Nousiainen, Byron Engler, Markus Kasper, Chang Rajani, Tapio Helin, Cédric T. Heritier, Sascha P. Quanz, Adrian M. Glauser
2024	J	`jnl`	Learning sparsity-promoting regularizers for linear inverse problems. CoRR Giovanni S. Alberti, Ernesto De Vito, Tapio Helin, Matti Lassas, Luca Ratti, Matteo Santacesaria
2024	J	`jnl`	Least Squares Approximations in Linear Statistical Inverse Learning Problems. SIAM J. Numer. Anal. Tapio Helin
2024	J	`jnl`	Recovery of transversely-isotropic elastic material parameters in induction motor rotors. CoRR Hanz Martin Cheng, Tapio Helin, Ville-Petteri Manninen, Timo Holopainen, Juha Jokinen, Samu Sorvari, Andreas Rupp
2024	J	`jnl`	Reducing the cost of posterior sampling in linear inverse problems via task-dependent score learning. CoRR Fabian Schneider, Duc-Lam Duong, Matti Lassas, Maarten V. de Hoop, Tapio Helin
2024	J	`jnl`	Surrogate model for Bayesian optimal experimental design in chromatography. CoRR Jose Rodrigo Rojo-Garcia, Heikki Haario, Tapio Helin, Tuomo Sainio
2023	J	`jnl`	Bayesian design of measurements for magnetorelaxometry imaging. CoRR Tapio Helin, Nuutti Hyvönen, Jarno Maaninen, Juha-Pekka Puska
2023	J	`jnl`	Introduction To Gaussian Process Regression In Bayesian Inverse Problems, With New ResultsOn Experimental Design For Weighted Error Measures. CoRR Tapio Helin, Andrew M. Stuart, Aretha L. Teckentrup, Konstantinos Zygalakis
2022	J	`jnl`	Edge-Promoting Adaptive Bayesian Experimental Design for X-ray Imaging. SIAM J. Sci. Comput. Tapio Helin, Nuutti Hyvönen, Juha-Pekka Puska
2022	J	`jnl`	Least squares approximations in linear statistical inverse learning problems. CoRR Tapio Helin
2022	J	`jnl`	Non-asymptotic error estimates for the Laplace approximation in Bayesian inverse problems. Numerische Mathematik Tapio Helin, Remo Kretschmann
2022	J	`jnl`	Stability estimates for the expected utility in Bayesian optimal experimental design. CoRR Duc-Lam Duong, Tapio Helin, Jose Rodrigo Rojo-Garcia
2022	J	`jnl`	Towards on-sky adaptive optics control using reinforcement learning. CoRR 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
2021	J	`jnl`	Convex regularization in statistical inverse learning problems. CoRR Tatiana A. Bubba, Martin Burger, Tapio Helin, Luca Ratti
2021	J	`jnl`	Edge-promoting adaptive Bayesian experimental design for X-ray imaging. CoRR Tapio Helin, Nuutti Hyvönen, Juha-Pekka Puska
2020	J	`jnl`	Modelling internal knot distribution using external log features. Comput. Electron. Agric. Fedor Zolotarev, Tuomas Eerola, Lasse Lensu, Heikki Kälviäinen, Tapio Helin, Heikki Haario, Tomi Kauppi, Jere Heikkinen
2020	J	`jnl`	Non-asymptotic error estimates for the Laplace approximation in Bayesian inverse problems. CoRR Tapio Helin, Remo Kretschmann
2020	J	`jnl`	Sequentially optimized projections in X-ray imaging. CoRR Martin Burger, Andreas Hauptmann, Tapio Helin, Nuutti Hyvönen, Juha-Pekka Puska
2019	J	`jnl`	Generalized Modes in Bayesian Inverse Problems. SIAM/ASA J. Uncertain. Quantification Christian Clason, Tapio Helin, Remo Kretschmann, Petteri Piiroinen
2010	J	`jnl`	Infinite Photography: New Mathematical Model for High-Resolution Images. J. Math. Imaging Vis. Tapio Helin, Matti Lassas, Samuli Siltanen