Matteo Ravasi

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 21

Top Topics

Blind Deconvolution

Top Venues

IEEE Geosci. Remote. Sens. Lett.

Publications

Daria Sushnikova, Matteo Ravasi, David E. Keyes
Multidimensional deconvolution with shared bases. CoRR (2024)
Matteo Ravasi, Marcus Valtonen Örnhag, Nick Luiken, Olivier Leblanc, Eneko Uruñuela
PyProximal - scalable convex optimization in Python. J. Open Source Softw. 9 (96) (2024)
Yuxi Hong, Hatem Ltaief, Matteo Ravasi, David E. Keyes
High performance computing seismic redatuming by inversion with algebraic compression and multiple precisions. Int. J. High Perform. Comput. Appl. 38 (3) (2024)
Nick Luiken, Matteo Ravasi
A deep learning-based approach to increase efficiency in the acquisition of ultrasonic non-destructive testing datasets. CVPR Workshops (2023)
Hatem Ltaief, Yuxi Hong, Leighton Wilson, Mathias Jacquelin, Matteo Ravasi, David Elliot Keyes
Scaling the "Memory Wall" for Multi-Dimensional Seismic Processing with Algebraic Compression on Cerebras CS-2 Systems. SC (2023)
Francesco Brandolin, Matteo Ravasi, Tariq Alkhalifah
PINNslope: seismic data interpolation and local slope estimation with physics informed neural networks. CoRR (2023)
Hatem Ltaief, Yuxi Hong, Adel Dabah, Rabab Alomairy, Sameh Abdulah, Chris Goreczny, Pawel Gepner, Matteo Ravasi, Damien Gratadour, David E. Keyes
Steering Customized AI Architectures for HPC Scientific Applications. ISC (2023)
Claire Birnie, Matteo Ravasi
Explainable Artificial Intelligence driven mask design for self-supervised seismic denoising. CoRR (2023)
Juan Romero, Wolfgang Heidrich, Nick Luiken, Matteo Ravasi
IntraSeismic: a coordinate-based learning approach to seismic inversion. CoRR (2023)
Weiwei Xu, Vincenzo Lipari, Paolo Bestagini, Matteo Ravasi, Wenchao Chen, Stefano Tubaro
Intelligent Seismic Deblending Through Deep Preconditioner. IEEE Geosci. Remote. Sens. Lett. 19 (2022)
Matteo Ravasi, Tamin Selvan, Nick Luiken
Stochastic Multi-Dimensional Deconvolution. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Hatem Ltaief, Marc G. Genton, Damien Gratadour, David E. Keyes, Matteo Ravasi
Responsibly Reckless Matrix Algorithms for HPC Scientific Applications. Comput. Sci. Eng. 24 (4) (2022)
Muhammad Izzatullah, Tariq Alkhalifah, Juan Romero, Miguel Corrales, Nick Luiken, Matteo Ravasi
Posterior sampling with CNN-based, Plug-and-Play regularization with applications to Post-Stack Seismic Inversion. CoRR (2022)
Matteo Ravasi
Deep Preconditioners and their application to seismic wavefield processing. CoRR (2022)
Nick Luiken, Matteo Ravasi, Claire E. Birnie
A hybrid approach to seismic deblending: when physics meets self-supervision. CoRR (2022)
Yuxi Hong, Hatem Ltaief, Matteo Ravasi, Laurent Gatineau, David E. Keyes
Accelerating Seismic Redatuming Using Tile Low-Rank Approximations on NEC SX-Aurora TSUBASA. Supercomput. Front. Innov. 8 (2) (2021)
David Vargas, Ivan Vasconcelos, Matteo Ravasi, Nick Luiken
Time-Domain Multidimensional Deconvolution: A Physically Reliable and Stable Preconditioned Implementation. Remote. Sens. 13 (18) (2021)
Claire Birnie, Matteo Ravasi, Tariq Alkhalifah, Sixiu Liu
The potential of self-supervised networks for random noise suppression in seismic data. CoRR (2021)
Matteo Ravasi, Ivan Vasconcelos
On the implementation of large-scale integral operators with modern HPC solutions - Application to 3D Marchenko imaging by least-squares inversion. CoRR (2020)
Matteo Ravasi, Ivan Vasconcelos
PyLops - A linear-operator Python library for scalable algebra and optimization. SoftwareX 11 (2020)
Matteo Ravasi, Ivan Vasconcelos
PyLops - A Linear-Operator Python Library for large scale optimization. CoRR (2019)