Matti Lassas - RankMe

72 papers A* 6C 1Journal 62Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Flowers: A Warp Drive for Neural PDE Solvers. CoRR Till Muser, Alexandra Spitzer, Matti Lassas, Maarten V. de Hoop, Ivan Dokmanic
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
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`	Coefficient Determination for Nonlinear Schrödinger Equations on Manifolds. SIAM J. Math. Anal. Matti Lassas, Lauri Oksanen, Suman Kumar Sahoo, Mikko Salo, Alexander Tetlow
2025	J	`jnl`	Extension and neural operator approximation of the electrical impedance tomography inverse map. CoRR Maarten V. de Hoop, Nikola B. Kovachki, Matti Lassas, Nicholas H. Nelsen
2025	J	`jnl`	Numerical reconstruction of Schrödinger equations with quadratic nonlinearities. CoRR Khaoula El Maddah, Matti Lassas, Teemu Tyni
2025	J	`jnl`	On the Lack of External Response of a Nonlinear Medium in the Second-Harmonic Generation Process. SIAM J. Math. Anal. Fioralba Cakoni, Narek Hovsepyan, Matti Lassas, Michael Vogelius
2025	A*	`conf`	Semialgebraic Neural Networks: From roots to representations. ICLR S. David Mis, Matti Lassas, Maarten V. de Hoop
2025	J	`jnl`	Semialgebraic Neural Networks: From roots to representations. CoRR S. David Mis, Matti Lassas, Maarten V. de Hoop
2025	J	`jnl`	Stroke classification using Virtual Hybrid Edge Detection from in silico electrical impedance tomography data. CoRR Juan P. Agnelli, Fernando Silva de Moura, Siiri Rautio, Melody Alsaker, Rashmi Murthy, Matti Lassas, Samuli Siltanen
2025	J	`jnl`	Transformers through the lens of support-preserving maps between measures. CoRR Takashi Furuya, Maarten V. de Hoop, Matti Lassas
2024	A*	`conf`	Can neural operators always be continuously discretized? NeurIPS Takashi Furuya, Michael Puthawala, Matti Lassas, Maarten V. de Hoop
2024	J	`jnl`	Can neural operators always be continuously discretized? CoRR Takashi Furuya, Michael Puthawala, Maarten V. de Hoop, Matti Lassas
2024	J	`jnl`	Disjoint Data Inverse Problem on Manifolds with Quantum Chaos Bounds. SIAM J. Math. Anal. Matti Lassas, Medet Nursultanov, Lauri Oksanen, Lauri Ylinen
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`	Mixture of Experts Soften the Curse of Dimensionality in Operator Learning. CoRR Anastasis Kratsios, Takashi Furuya, Jose Antonio Lara Benitez, Matti Lassas, Maarten V. de Hoop
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`	TILT: Topological Interface Recovery in Limited-Angle Tomography. SIAM J. Imaging Sci. Elli Karvonen, Matti Lassas, Pekka Pankka, Samuli Siltanen
2023	J	`jnl`	A Transfer Principle: Universal Approximators Between Metric Spaces From Euclidean Universal Approximators. CoRR Anastasis Kratsios, Chong Liu, Matti Lassas, Maarten V. de Hoop, Ivan Dokmanic
2023	A*	`conf`	Globally injective and bijective neural operators. NeurIPS Takashi Furuya, Michael Puthawala, Matti Lassas, Maarten V. de Hoop
2023	J	`jnl`	Globally injective and bijective neural operators. CoRR Takashi Furuya, Michael Puthawala, Matti Lassas, Maarten V. de Hoop
2023	J	`jnl`	Inverse Problems for Discrete Heat Equations and Random Walks for a Class of Graphs. SIAM J. Discret. Math. Emilia L. K. Blåsten, Hiroshi Isozaki, Matti Lassas, Jinpeng Lu
2023	J	`jnl`	Quantum computing algorithms for inverse problems on graphs and an NP-complete inverse problem. CoRR Joonas Ilmavirta, Matti Lassas, Jinpeng Lu, Lauri Oksanen, Lauri Ylinen
2022	J	`jnl`	An inverse problem for a semi-linear wave equation: a numerical study. CoRR Matti Lassas, Tony Liimatainen, Leyter Potenciano-Machado, Teemu Tyni
2022	J	`jnl`	Analysis of a Dynamical System Modeling Lasers and Applications for Optical Neural Networks. SIAM J. Appl. Dyn. Syst. Lauri Ylinen, Tuomo von Lerber, Franko Küppers, Matti Lassas
2022	J	`jnl`	Deep Invertible Approximation of Topologically Rich Maps between Manifolds. CoRR Michael Puthawala, Matti Lassas, Ivan Dokmanic, Pekka Pankka, Maarten V. de Hoop
2022	J	`jnl`	Globally Injective ReLU Networks. J. Mach. Learn. Res. Michael Puthawala, Konik Kothari, Matti Lassas, Ivan Dokmanic, Maarten V. de Hoop
2022	J	`jnl`	Invisibility Cloaking and Transformation Optics for Three Dimensional Manifolds and Applications in Cosmology. SIAM J. Math. Anal. Tracey Balehowsky, Matti Lassas, Pekka Pankka, Ville Sirviö
2022	A*	`conf`	Universal Joint Approximation of Manifolds and Densities by Simple Injective Flows. ICML Michael Puthawala, Matti Lassas, Ivan Dokmanic, Maarten V. de Hoop
2021	J	`jnl`	Construction of Artificial Point Sources for a Linear Wave Equation in Unknown Medium. SIAM J. Control. Optim. Anna Kirpichnikova, Jussi Korpela, Matti Lassas, Lauri Oksanen
2021	J	`jnl`	Deep Neural Networks for Inverse Problems with Pseudodifferential Operators: An Application to Limited-Angle Tomography. SIAM J. Imaging Sci. Tatiana A. Bubba, Mathilde Galinier, Matti Lassas, Marco Prato, Luca Ratti, Samuli Siltanen
2021	A*	`conf`	Learning the optimal Tikhonov regularizer for inverse problems. NeurIPS Giovanni S. Alberti, Ernesto De Vito, Matti Lassas, Luca Ratti, Matteo Santacesaria
2021	J	`jnl`	Learning the optimal regularizer for inverse problems. CoRR Giovanni S. Alberti, Ernesto De Vito, Matti Lassas, Luca Ratti, Matteo Santacesaria
2021	J	`jnl`	Material-separating regularizer for multi-energy X-ray tomography. CoRR Jacek Gondzio, Matti Lassas, Salla-Maaria Latva-Äijö, Samuli Siltanen, Filippo Zanetti
2021	J	`jnl`	Simultaneous Reconstruction of Conductivity, Boundary Shape, and Contact Impedances in Electrical Impedance Tomography. SIAM J. Imaging Sci. Juan P. Agnelli, Ville Kolehmainen, Matti Lassas, Petri Ola, Samuli Siltanen
2021	J	`jnl`	Simultaneous reconstruction of conductivity, boundary shape and contact impedances in electrical impedance tomography. CoRR Juan P. Agnelli, Ville Kolehmainen, Matti Lassas, Petri Ola, Samuli Siltanen
2021	J	`jnl`	Universal Joint Approximation of Manifolds and Densities by Simple Injective Flows. CoRR Michael Puthawala, Matti Lassas, Ivan Dokmanic, Maarten V. de Hoop
2020	J	`jnl`	Deep neural networks for inverse problems with pseudodifferential operators: an application to limited-angle tomography. CoRR Tatiana A. Bubba, Mathilde Galinier, Matti Lassas, Marco Prato, Luca Ratti, Samuli Siltanen
2020	J	`jnl`	Globally Injective ReLU Networks. CoRR Michael Puthawala, Konik Kothari, Matti Lassas, Ivan Dokmanic, Maarten V. de Hoop
2020	J	`jnl`	Reconstruction and Interpolation of Manifolds. I: The Geometric Whitney Problem. Found. Comput. Math. Charles Fefferman, Sergei Ivanov, Yaroslav Kurylev, Matti Lassas, Hariharan Narayanan
2020	J	`jnl`	Reconstruction of a Riemannian Manifold from Noisy Intrinsic Distances. SIAM J. Math. Data Sci. Charles Fefferman, Sergei Ivanov, Matti Lassas, Hariharan Narayanan
2019	J	`jnl`	Deep learning architectures for nonlinear operator functions and nonlinear inverse problems. CoRR Maarten V. de Hoop, Matti Lassas, Christopher A. Wong
2018	A*	`conf`	Fitting a Putative Manifold to Noisy Data. COLT Charles Fefferman, Sergei Ivanov, Yaroslav Kurylev, Matti Lassas, Hariharan Narayanan
2018	J	`jnl`	Learning The Invisible: A Hybrid Deep Learning-Shearlet Framework for Limited Angle Computed Tomography. CoRR Tatiana A. Bubba, Gitta Kutyniok, Matti Lassas, Maximilian März, Wojciech Samek, Samuli Siltanen, Vignesh Srinivasan
2018	J	`jnl`	On Absence and Existence of the Anomalous Localized Resonance without the Quasi-static Approximation. SIAM J. Appl. Math. Henrik Kettunen, Matti Lassas, Petri Ola
2018	J	`jnl`	Superdimensional Metamaterial Resonators From Sub-Riemannian Geometry. SIAM J. Appl. Math. Allan Greenleaf, Henrik Kettunen, Yaroslav Kurylev, Matti Lassas, Gunther Uhlmann
2017	—	`conf`	Amplitude noise suppression and orthogonal multiplexing using injection-locked single-mode VCSEL. OFC Vladimir S. Lyubopytov, Tuomo von Lerber, Matti Lassas, Mohammadreza Malekizandi, Arkadi Chipouline, Franko Küppers
2017	J	`jnl`	Optical computing by injection-locked lasers. CoRR Tuomo von Lerber, Matti Lassas, Quang Trung Le, Vladimir Lyubopytov, Arkadi Chipouline, Klaus Hofmann, Franko Küppers
2016	J	`jnl`	Multiresolution Parameter Choice Method for Total Variation Regularized Tomography. SIAM J. Imaging Sci. Kati Niinimäki, Matti Lassas, Keijo Hämäläinen, Aki Kallonen, Ville Kolehmainen, Esa Niemi, Samuli Siltanen
2016	J	`jnl`	The Blow-up of Electromagnetic Fields in 3-Dimensional Invisibility Cloaking for Maxwell's Equations. SIAM J. Appl. Math. Matti Lassas, Ting Zhou
2015	J	`jnl`	Dynamic multi-source X-ray tomography using a spacetime level set method. J. Comput. Phys. Esa Niemi, Matti Lassas, Aki Kallonen, Lauri Harhanen, Keijo Hämäläinen, Samuli Siltanen
2015	—	`ch.`	Wave Phenomena. Handbook of Mathematical Methods in Imaging Matti Lassas, Mikko Salo, Gunther Uhlmann
2014	J	`jnl`	Reconstruction of a Conformally Euclidean Metric from Local Boundary Diffraction Travel Times. SIAM J. Math. Anal. Maarten V. de Hoop, Sean F. Holman, Einar Iversen, Matti Lassas, Bjørn Ursin
2013	C	`conf`	Dynamic X-ray tomography with multiple sources. ISPA Esa Niemi, Matti Lassas, Samuli Siltanen
2013	J	`jnl`	Sparse Tomography. SIAM J. Sci. Comput. Keijo Hämäläinen, Aki Kallonen, Ville Kolehmainen, Matti Lassas, Kati Niinimäki, Samuli Siltanen
2011	J	`jnl`	Determining Electrical and Heat Transfer Parameters Using Coupled Boundary Measurements. SIAM J. Math. Anal. Katsiaryna Krupchyk, Matti Lassas, Samuli Siltanen
2010	J	`jnl`	Calderón's Inverse Problem with an Imperfectly Known Boundary and Reconstruction Up to a Conformal Deformation. SIAM J. Math. Anal. Ville Kolehmainen, Matti Lassas, Petri Ola
2010	J	`jnl`	Infinite Photography: New Mathematical Model for High-Resolution Images. J. Math. Imaging Vis. Tapio Helin, Matti Lassas, Samuli Siltanen
2009	J	`jnl`	Cloaking Devices, Electromagnetic Wormholes, and Transformation Optics. SIAM Rev. Allan Greenleaf, Yaroslav Kurylev, Matti Lassas, Gunther Uhlmann
2009	J	`jnl`	Focusing Waves in Unknown Media by Modified Time Reversal Iteration. SIAM J. Control. Optim. Matias F. Dahl, Anna Kirpichnikova, Matti Lassas
2008	J	`jnl`	Electrical Impedance Tomography Problem With Inaccurately Known Boundary and Contact Impedances. IEEE Trans. Medical Imaging Ville Kolehmainen, Matti Lassas, Petri Ola
2008	J	`jnl`	Limited Data X-Ray Tomography Using Nonlinear Evolution Equations. SIAM J. Sci. Comput. Ville Kolehmainen, Matti Lassas, Samuli Siltanen
2007	J	`jnl`	Bayesian inversion method for 3D dental X-ray imaging. Elektrotech. Informationstechnik Ville Kolehmainen, Antti Vanne, Samuli Siltanen, Seppo Järvenpää, Jari P. Kaipio, Matti Lassas, Martti Kalke
2007	J	`jnl`	D-Bar Method for Electrical Impedance Tomography with Discontinuous Conductivities. SIAM J. Appl. Math. Kim Knudsen, Matti Lassas, Jennifer L. Mueller, Samuli Siltanen
2007	J	`jnl`	The Inverse Conductivity Problem with an Imperfectly Known Boundary in Three Dimensions. SIAM J. Appl. Math. Ville Kolehmainen, Matti Lassas, Petri Ola
2006	—	`conf`	Electrical impedance tomography problem with inaccurately known boundary and contact impedances. ISBI Ville Kolehmainen, Matti Lassas, Petri Ola
2006	J	`jnl`	Parallelized Bayesian inversion for three-dimensional dental X-ray imaging. IEEE Trans. Medical Imaging Ville Kolehmainen, Antti Vanne, Samuli Siltanen, Seppo Järvenpää, Jari P. Kaipio, Matti Lassas, Martti Kalke
2006	J	`jnl`	Wavelet-based reconstruction for limited-angle X-ray tomography. IEEE Trans. Medical Imaging Maaria Rantala, Simopekka Vänskä, Seppo Järvenpää, Martti Kalke, Matti Lassas, Jan Moberg, Samuli Siltanen
2005	J	`jnl`	The Inverse Conductivity Problem with an Imperfectly Known Boundary. SIAM J. Appl. Math. Ville Kolehmainen, Matti Lassas, Petri Ola
2002	J	`jnl`	Wind velocity observation with a CW Doppler radar. IEEE Trans. Geosci. Remote. Sens. Matti Lassas, Mustapha Mataich, Samuli Siltanen, Erkki Somersalo
2001	J	`jnl`	Optimal Acoustic Measurements. SIAM J. Appl. Math. David Isaacson, Margaret Cheney, Matti Lassas
1998	J	`jnl`	On the Existence and Convergence of the Solution of PML Equations. Computing Matti Lassas, Erkki Somersalo