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2020 – today
- 2024
[j33]Elli Karvonen
, Matti Lassas, Pekka Pankka, Samuli Siltanen:
TILT: Topological Interface Recovery in Limited-Angle Tomography. SIAM J. Imaging Sci. 17(3): 1761-1794 (2024)- [i16]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 abs/2404.09101 (2024) - [i15]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 abs/2405.15643 (2024) - 2023
- [j32]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): 831-863 (2023) - [c7]Takashi Furuya, Michael Puthawala, Matti Lassas, Maarten V. de Hoop:
Globally injective and bijective neural operators. NeurIPS 2023 - [i14]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 abs/2304.12231 (2023) - [i13]Takashi Furuya, Michael Puthawala, Matti Lassas, Maarten V. de Hoop:
Globally injective and bijective neural operators. CoRR abs/2306.03982 (2023) - [i12]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 abs/2306.05253 (2023) - 2022
- [j31]Michael Puthawala, Konik Kothari, Matti Lassas, Ivan Dokmanic, Maarten V. de Hoop:
Globally Injective ReLU Networks. J. Mach. Learn. Res. 23: 105:1-105:55 (2022) - [j30]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): 840-878 (2022) - [j29]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): 3420-3456 (2022) - [c6]Michael Puthawala, Matti Lassas, Ivan Dokmanic, Maarten V. de Hoop:
Universal Joint Approximation of Manifolds and Densities by Simple Injective Flows. ICML 2022: 17959-17983 - [i11]Matti Lassas, Tony Liimatainen, Leyter Potenciano-Machado, Teemu Tyni:
An inverse problem for a semi-linear wave equation: a numerical study. CoRR abs/2203.09427 (2022) - [i10]Michael Puthawala, Matti Lassas, Ivan Dokmanic, Pekka Pankka, Maarten V. de Hoop:
Deep Invertible Approximation of Topologically Rich Maps between Manifolds. CoRR abs/2210.00577 (2022) - 2021
- [j28]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): 3737-3761 (2021) - [j27]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): 470-505 (2021) - [j26]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): 1407-1438 (2021) - [c5]Giovanni S. Alberti, Ernesto De Vito, Matti Lassas, Luca Ratti, Matteo Santacesaria:
Learning the optimal Tikhonov regularizer for inverse problems. NeurIPS 2021: 25205-25216 - [i9]Juan P. Agnelli, Ville Kolehmainen, Matti Lassas, Petri Ola, Samuli Siltanen:
Simultaneous reconstruction of conductivity, boundary shape and contact impedances in electrical impedance tomography. CoRR abs/2104.02043 (2021) - [i8]Giovanni S. Alberti, Ernesto De Vito, Matti Lassas, Luca Ratti, Matteo Santacesaria:
Learning the optimal regularizer for inverse problems. CoRR abs/2106.06513 (2021) - [i7]Jacek Gondzio, Matti Lassas, Salla-Maaria Latva-Äijö, Samuli Siltanen, Filippo Zanetti:
Material-separating regularizer for multi-energy X-ray tomography. CoRR abs/2107.03535 (2021) - [i6]Michael Puthawala, Matti Lassas, Ivan Dokmanic, Maarten V. de Hoop:
Universal Joint Approximation of Manifolds and Densities by Simple Injective Flows. CoRR abs/2110.04227 (2021) - 2020
- [j25]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): 1035-1133 (2020) - [j24]Charles Fefferman, Sergei Ivanov, Matti Lassas, Hariharan Narayanan:
Reconstruction of a Riemannian Manifold from Noisy Intrinsic Distances. SIAM J. Math. Data Sci. 2(3): 770-808 (2020) - [i5]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 abs/2006.01620 (2020) - [i4]Michael Puthawala, Konik Kothari, Matti Lassas, Ivan Dokmanic, Maarten V. de Hoop:
Globally Injective ReLU Networks. CoRR abs/2006.08464 (2020)
2010 – 2019
- 2019
- [i3]Maarten V. de Hoop, Matti Lassas, Christopher A. Wong:
Deep learning architectures for nonlinear operator functions and nonlinear inverse problems. CoRR abs/1912.11090 (2019) - 2018
- [j23]Allan Greenleaf, Henrik Kettunen, Yaroslav Kurylev, Matti Lassas, Gunther Uhlmann:
Superdimensional Metamaterial Resonators From Sub-Riemannian Geometry. SIAM J. Appl. Math. 78(1): 437-456 (2018) - [j22]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): 609-628 (2018) - [c4]Charles Fefferman, Sergei Ivanov, Yaroslav Kurylev, Matti Lassas, Hariharan Narayanan:
Fitting a Putative Manifold to Noisy Data. COLT 2018: 688-720 - [i2]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 abs/1811.04602 (2018) - 2017
- [c3]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: 1-3 - [i1]Tuomo von Lerber, Matti Lassas, Quang Trung Le, Vladimir Lyubopytov, Arkadi Chipouline, Klaus Hofmann, Franko Küppers:
Optical computing by injection-locked lasers. CoRR abs/1709.07900 (2017) - 2016
- [j21]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): 457-478 (2016) - [j20]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): 938-974 (2016) - 2015
- [j19]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: 218-237 (2015) - [r1]Matti Lassas, Mikko Salo, Gunther Uhlmann:
Wave Phenomena. Handbook of Mathematical Methods in Imaging 2015: 1205-1252 - 2014
- [j18]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): 3705-3726 (2014) - 2013
- [j17]Keijo Hämäläinen, Aki Kallonen, Ville Kolehmainen, Matti Lassas, Kati Niinimäki, Samuli Siltanen:
Sparse Tomography. SIAM J. Sci. Comput. 35(3) (2013) - [c2]Esa Niemi, Matti Lassas, Samuli Siltanen:
Dynamic X-ray tomography with multiple sources. ISPA 2013: 618-621 - 2011
- [j16]Katsiaryna Krupchyk, Matti Lassas, Samuli Siltanen:
Determining Electrical and Heat Transfer Parameters Using Coupled Boundary Measurements. SIAM J. Math. Anal. 43(5): 2096-2115 (2011) - 2010
- [j15]Tapio Helin, Matti Lassas, Samuli Siltanen:
Infinite Photography: New Mathematical Model for High-Resolution Images. J. Math. Imaging Vis. 36(2): 140-158 (2010) - [j14]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): 1371-1381 (2010)
2000 – 2009
- 2009
- [j13]Matias F. Dahl, Anna Kirpichnikova, Matti Lassas:
Focusing Waves in Unknown Media by Modified Time Reversal Iteration. SIAM J. Control. Optim. 48(2): 839-858 (2009) - [j12]Allan Greenleaf, Yaroslav Kurylev, Matti Lassas, Gunther Uhlmann:
Cloaking Devices, Electromagnetic Wormholes, and Transformation Optics. SIAM Rev. 51(1): 3-33 (2009) - 2008
- [j11]Ville Kolehmainen, Matti Lassas, Samuli Siltanen:
Limited Data X-Ray Tomography Using Nonlinear Evolution Equations. SIAM J. Sci. Comput. 30(3): 1413-1429 (2008) - [j10]Ville Kolehmainen, Matti Lassas, Petri Ola:
Electrical Impedance Tomography Problem With Inaccurately Known Boundary and Contact Impedances. IEEE Trans. Medical Imaging 27(10): 1404-1414 (2008) - 2007
- [j9]Ville Kolehmainen, Antti 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): 248-253 (2007) - [j8]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): 893-913 (2007) - [j7]Ville Kolehmainen, Matti Lassas, Petri Ola:
The Inverse Conductivity Problem with an Imperfectly Known Boundary in Three Dimensions. SIAM J. Appl. Math. 67(5): 1440-1452 (2007) - 2006
- [j6]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): 210-217 (2006) - [j5]Ville Kolehmainen, Antti 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): 218-228 (2006) - [c1]Ville Kolehmainen, Matti Lassas, Petri Ola:
Electrical impedance tomography problem with inaccurately known boundary and contact impedances. ISBI 2006: 1124-1127 - 2005
- [j4]Ville Kolehmainen, Matti Lassas, Petri Ola:
The Inverse Conductivity Problem with an Imperfectly Known Boundary. SIAM J. Appl. Math. 66(2): 365-383 (2005) - 2002
- [j3]Matti Lassas, Mustapha Mataich, Samuli Siltanen, Erkki Somersalo:
Wind velocity observation with a CW Doppler radar. IEEE Trans. Geosci. Remote. Sens. 40(11): 2427-2437 (2002) - 2001
- [j2]David Isaacson, Margaret Cheney, Matti Lassas:
Optimal Acoustic Measurements. SIAM J. Appl. Math. 61(5): 1628-1647 (2001)
1990 – 1999
- 1998
- [j1]Matti Lassas, Erkki Somersalo:
On the Existence and Convergence of the Solution of PML Equations. Computing 60(3): 229-242 (1998)
Coauthor Index
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