Timo L\"ahivaara

Identifiers

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Papers (6)

1. A Bayesian approach to improving the Born approximation for inverse scattering with high contrast materials physics.comp-ph · 2019 · author #4
2. Characterising poroelastic materials in the ultrasonic range - A Bayesian approach physics.comp-ph · 2018 · author #5
3. Parameter estimation in modelling frequency response of coupled systems using a stepwise approach physics.comp-ph · 2018 · author #3
4. Gaussian process regression for forest attribute estimation from airborne laser scanning data stat.AP · 2018 · author #2
5. Estimation of groundwater storage from seismic data using deep learning physics.comp-ph · 2018 · author #1
6. Deep convolutional neural networks for estimating porous material parameters with ultrasound tomography physics.comp-ph · 2017 · author #1

Mentions

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Frequent Coauthors

• Janne M.J. Huttunen 2 shared papers
• Jan S. Hesthaven 2 shared papers
• Leo K\"arkk\"ainen 2 shared papers
• Aku Sepp\"anen 1 shared papers
• Alireza Malehmir 1 shared papers
• Antti Pasanen 1 shared papers
• Aroune Duclos 1 shared papers
• Jacques Cuenca 1 shared papers
• Jari P. Kaipio 1 shared papers
• Jean-Philippe Groby 1 shared papers
• Matti Maltamo 1 shared papers
• Matti Niskanen 1 shared papers
• Olivier Dazel 1 shared papers
• Peter B. Monk 1 shared papers
• Peter G\"oransson 1 shared papers
• Petri Varvia 1 shared papers
• Petteri Packalen 1 shared papers
• Teemu Luostari 1 shared papers
• Tomi Huttunen 1 shared papers