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20012023
most citedInfinite dimensional compressed sensing from anisotropic measurements and applications to inverse problems in PDE

51 citations · 416 across the 43 of their papers we have counts for

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Showing 2018Show all

7 papers · 1 filter

math.RT2018

Unitarization and Inversion Formulae for the Radon Transform between Dual Pairs

Giovanni S. Alberti, Francesca Bartolucci, Filippo De Mari +1

We consider the Radon transform associated to dual pairs in the sense of Helgason, with and , where , is a closed subgroup of ${…

math.FA2018★ 8 cited

Essential spectrum for Maxwell's equations

Giovanni S. Alberti, Malcolm Brown, Marco Marletta +1

We study the essential spectrum of operator pencils associated with anisotropic Maxwell equations, with permittivity , permeability and conductivity , on finite…

cs.CV2018★ 24 cited

ADef: an Iterative Algorithm to Construct Adversarial Deformations

Rima Alaifari, Giovanni S. Alberti, Tandri Gauksson

While deep neural networks have proven to be a powerful tool for many recognition and classification tasks, their stability properties are still not well understood. In the past, i…

math.AP2018★ 28 cited

Calderón's Inverse Problem with a Finite Number of Measurements

Giovanni S. Alberti, Matteo Santacesaria

We prove that an potential in the Schrödinger equation in three and higher dimensions can be uniquely determined from a finite number of boundary measurements, provided…

math.FA2018

Lossless Analog Compression

Giovanni Alberti, Helmut Bölcskei, Camillo De Lellis +2

We establish the fundamental limits of lossless analog compression by considering the recovery of arbitrary m-dimensional real random vectors x from the noiseless linear measuremen…

math.NA2018

Dynamic Spike Super-resolution and Applications to Ultrafast Ultrasound Imaging

Giovanni S. Alberti, Habib Ammari, Francisco Romero +1

We consider the dynamical super-resolution problem consisting in the recovery of positions and velocities of moving particles from low-frequency static measurements taken over mult…