Matti Lassas

Publication Activity (10 Years)

Years Active: 1998-2024
Publications (10 Years): 34

Top Topics

Euclidean Metric

Electromagnetic Fields

Inverse Problems

Top Venues

SIAM J. Imaging Sci.

SIAM J. Appl. Math.

SIAM J. Math. Anal.

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)
Anastasis Kratsios, Takashi Furuya, Jose Antonio Lara Benitez, Matti Lassas, Maarten V. de Hoop
Mixture of Experts Soften the Curse of Dimensionality in Operator Learning. CoRR (2024)
Takashi Furuya, Michael Puthawala, Matti Lassas, Maarten V. de Hoop
Globally injective and bijective neural operators. NeurIPS (2023)
Anastasis Kratsios, Chong Liu, Matti Lassas, Maarten V. de Hoop, Ivan Dokmanic
A Transfer Principle: Universal Approximators Between Metric Spaces From Euclidean Universal Approximators. CoRR (2023)
Joonas Ilmavirta, Matti Lassas, Jinpeng Lu, Lauri Oksanen, Lauri Ylinen
Quantum computing algorithms for inverse problems on graphs and an NP-complete inverse problem. CoRR (2023)
Takashi Furuya, Michael Puthawala, Matti Lassas, Maarten V. de Hoop
Globally injective and bijective neural operators. CoRR (2023)
Emilia L. K. Blåsten, Hiroshi Isozaki, Matti Lassas, Jinpeng Lu
Inverse Problems for Discrete Heat Equations and Random Walks for a Class of Graphs. SIAM J. Discret. Math. 37 (2) (2023)
Lauri Ylinen, Tuomo von Lerber, Franko Küppers, Matti Lassas
Analysis of a Dynamical System Modeling Lasers and Applications for Optical Neural Networks. SIAM J. Appl. Dyn. Syst. 21 (2) (2022)
Matti Lassas, Tony Liimatainen, Leyter Potenciano-Machado, Teemu Tyni
An inverse problem for a semi-linear wave equation: a numerical study. CoRR (2022)
Michael Puthawala, Matti Lassas, Ivan Dokmanic, Maarten V. de Hoop
Universal Joint Approximation of Manifolds and Densities by Simple Injective Flows. ICML (2022)
Michael Puthawala, Matti Lassas, Ivan Dokmanic, Pekka Pankka, Maarten V. de Hoop
Deep Invertible Approximation of Topologically Rich Maps between Manifolds. CoRR (2022)
Tracey Balehowsky, Matti Lassas, Pekka Pankka, Ville Sirviö
Invisibility Cloaking and Transformation Optics for Three Dimensional Manifolds and Applications in Cosmology. SIAM J. Math. Anal. 54 (3) (2022)
Michael Puthawala, Konik Kothari, Matti Lassas, Ivan Dokmanic, Maarten V. de Hoop
Globally Injective ReLU Networks. J. Mach. Learn. Res. 23 (2022)
Tatiana A. Bubba, Mathilde Galinier, Matti Lassas, Marco Prato, Luca Ratti, Samuli Siltanen
Deep Neural Networks for Inverse Problems with Pseudodifferential Operators: An Application to Limited-Angle Tomography. SIAM J. Imaging Sci. 14 (2) (2021)
Anna Kirpichnikova, Jussi Korpela, Matti Lassas, Lauri Oksanen
Construction of Artificial Point Sources for a Linear Wave Equation in Unknown Medium. SIAM J. Control. Optim. 59 (5) (2021)
Jacek Gondzio, Matti Lassas, Salla-Maaria Latva-Äijö, Samuli Siltanen, Filippo Zanetti
Material-separating regularizer for multi-energy X-ray tomography. CoRR (2021)
Michael Puthawala, Matti Lassas, Ivan Dokmanic, Maarten V. de Hoop
Universal Joint Approximation of Manifolds and Densities by Simple Injective Flows. CoRR (2021)
Juan P. Agnelli, Ville Kolehmainen, Matti Lassas, Petri Ola, Samuli Siltanen
Simultaneous Reconstruction of Conductivity, Boundary Shape, and Contact Impedances in Electrical Impedance Tomography. SIAM J. Imaging Sci. 14 (4) (2021)
Juan P. Agnelli, Ville Kolehmainen, Matti Lassas, P. Ola, Samuli Siltanen
Simultaneous reconstruction of conductivity, boundary shape and contact impedances in electrical impedance tomography. CoRR (2021)
Giovanni S. Alberti, Ernesto De Vito, Matti Lassas, Luca Ratti, Matteo Santacesaria
Learning the optimal Tikhonov regularizer for inverse problems. NeurIPS (2021)
Giovanni S. Alberti, Ernesto De Vito, Matti Lassas, Luca Ratti, Matteo Santacesaria
Learning the optimal regularizer for inverse problems. CoRR (2021)
Tatiana A. Bubba, Mathilde Galinier, Matti Lassas, Marco Prato, Luca Ratti, Samuli Siltanen
Deep neural networks for inverse problems with pseudodifferential operators: an application to limited-angle tomography. CoRR (2020)
Michael Puthawala, Konik Kothari, Matti Lassas, Ivan Dokmanic, Maarten V. de Hoop
Globally Injective ReLU Networks. CoRR (2020)
Charles Fefferman, Sergei Ivanov, Matti Lassas, Hariharan Narayanan
Reconstruction of a Riemannian Manifold from Noisy Intrinsic Distances. SIAM J. Math. Data Sci. 2 (3) (2020)
Charles Fefferman, Sergei Ivanov, Yaroslav Kurylev, Matti Lassas, Hariharan Narayanan
Reconstruction and Interpolation of Manifolds. I: The Geometric Whitney Problem. Found. Comput. Math. 20 (5) (2020)
Maarten V. de Hoop, Matti Lassas, Christopher A. Wong
Deep learning architectures for nonlinear operator functions and nonlinear inverse problems. CoRR (2019)
Allan Greenleaf, Henrik Kettunen, Yaroslav Kurylev, Matti Lassas, Gunther Uhlmann
Superdimensional Metamaterial Resonators From Sub-Riemannian Geometry. SIAM J. Appl. Math. 78 (1) (2018)
Charles Fefferman, Sergei Ivanov, Yaroslav Kurylev, Matti Lassas, Hariharan Narayanan
Fitting a Putative Manifold to Noisy Data. COLT (2018)
Tatiana A. Bubba, Gitta Kutyniok, Matti Lassas, Maximilian März, Wojciech Samek, Samuli Siltanen, Vignesh Srinivasan
Learning The Invisible: A Hybrid Deep Learning-Shearlet Framework for Limited Angle Computed Tomography. CoRR (2018)
Henrik Kettunen, Matti Lassas, Petri Ola
On Absence and Existence of the Anomalous Localized Resonance without the Quasi-static Approximation. SIAM J. Appl. Math. 78 (1) (2018)
Vladimir S. Lyubopytov, Tuomo von Lerber, Matti Lassas, Mohammadreza Malekizandi, Arkadi Chipouline, Franko Küppers
Amplitude noise suppression and orthogonal multiplexing using injection-locked single-mode VCSEL. OFC (2017)
Tuomo von Lerber, Matti Lassas, Quang Trung Le, Vladimir Lyubopytov, Arkadi Chipouline, Klaus Hofmann, Franko Küppers
Optical computing by injection-locked lasers. CoRR (2017)
Matti Lassas, Ting Zhou
The Blow-up of Electromagnetic Fields in 3-Dimensional Invisibility Cloaking for Maxwell's Equations. SIAM J. Appl. Math. 76 (2) (2016)
Kati Niinimäki, Matti Lassas, Keijo Hämäläinen, Aki Kallonen, Ville Kolehmainen, Esa Niemi, Samuli Siltanen
Multiresolution Parameter Choice Method for Total Variation Regularized Tomography. SIAM J. Imaging Sci. 9 (3) (2016)
Esa Niemi, Matti Lassas, Aki Kallonen, Lauri Harhanen, Keijo Hämäläinen, Samuli Siltanen
Dynamic multi-source X-ray tomography using a spacetime level set method. J. Comput. Phys. 291 (2015)
Maarten V. de Hoop, Sean F. Holman, Einar Iversen, Matti Lassas, Bjørn Ursin
Reconstruction of a Conformally Euclidean Metric from Local Boundary Diffraction Travel Times. SIAM J. Math. Anal. 46 (6) (2014)
Esa Niemi, Matti Lassas, Samuli Siltanen
Dynamic X-ray tomography with multiple sources. ISPA (2013)
Keijo Hämäläinen, Aki Kallonen, Ville Kolehmainen, Matti Lassas, Kati Niinimäki, Samuli Siltanen
Sparse Tomography. SIAM J. Sci. Comput. 35 (3) (2013)
Katsiaryna Krupchyk, Matti Lassas, Samuli Siltanen
Determining Electrical and Heat Transfer Parameters Using Coupled Boundary Measurements. SIAM J. Math. Anal. 43 (5) (2011)
Tapio Helin, Matti Lassas, Samuli Siltanen
Infinite Photography: New Mathematical Model for High-Resolution Images. J. Math. Imaging Vis. 36 (2) (2010)
Ville Kolehmainen, Matti Lassas, Petri Ola
Calderón's Inverse Problem with an Imperfectly Known Boundary and Reconstruction Up to a Conformal Deformation. SIAM J. Math. Anal. 42 (3) (2010)
Matias F. Dahl, Anna Kirpichnikova, Matti Lassas
Focusing Waves in Unknown Media by Modified Time Reversal Iteration. SIAM J. Control. Optim. 48 (2) (2009)
Allan Greenleaf, Yaroslav Kurylev, Matti Lassas, Gunther Uhlmann
Cloaking Devices, Electromagnetic Wormholes, and Transformation Optics. SIAM Rev. 51 (1) (2009)
Ville Kolehmainen, Matti Lassas, Samuli Siltanen
Limited Data X-Ray Tomography Using Nonlinear Evolution Equations. SIAM J. Sci. Comput. 30 (3) (2008)
Ville Kolehmainen, Matti Lassas, Petri Ola
Electrical Impedance Tomography Problem With Inaccurately Known Boundary and Contact Impedances. IEEE Trans. Medical Imaging 27 (10) (2008)
Kim Knudsen, Matti Lassas, Jennifer L. Mueller, Samuli Siltanen
D-Bar Method for Electrical Impedance Tomography with Discontinuous Conductivities. SIAM J. Appl. Math. 67 (3) (2007)
Ville Kolehmainen, Matti Lassas, Petri Ola
The Inverse Conductivity Problem with an Imperfectly Known Boundary in Three Dimensions. SIAM J. Appl. Math. 67 (5) (2007)
Ville Kolehmainen, A. Vanne, Samuli Siltanen, Seppo Järvenpää, Jari P. Kaipio, Matti Lassas, Martti Kalke
Bayesian inversion method for 3D dental X-ray imaging. Elektrotech. Informationstechnik 124 (7-8) (2007)
Ville Kolehmainen, Matti Lassas, Petri Ola
Electrical impedance tomography problem with inaccurately known boundary and contact impedances. ISBI (2006)
Maaria Rantala, Simopekka Vänskä, Seppo Järvenpää, Martti Kalke, Matti Lassas, Jan Moberg, Samuli Siltanen
Wavelet-based reconstruction for limited-angle X-ray tomography. IEEE Trans. Medical Imaging 25 (2) (2006)
Ville Kolehmainen, A. Vanne, Samuli Siltanen, Seppo Järvenpää, Jari P. Kaipio, Matti Lassas, Martti Kalke
Parallelized Bayesian inversion for three-dimensional dental X-ray imaging. IEEE Trans. Medical Imaging 25 (2) (2006)
Ville Kolehmainen, Matti Lassas, Petri Ola
The Inverse Conductivity Problem with an Imperfectly Known Boundary. SIAM J. Appl. Math. 66 (2) (2005)
Matti Lassas, Mustapha Mataich, Samuli Siltanen, Erkki Somersalo
Wind velocity observation with a CW Doppler radar. IEEE Trans. Geosci. Remote. Sens. 40 (11) (2002)
David Isaacson, Margaret Cheney, Matti Lassas
Optimal Acoustic Measurements. SIAM J. Appl. Math. 61 (5) (2001)
Matti Lassas, Erkki Somersalo
On the Existence and Convergence of the Solution of PML Equations. Computing 60 (3) (1998)