1 code implementation • 31 Jan 2022 • Or Feldman, Amit Boyarski, Shai Feldman, Dani Kogan, Avi Mendelson, Chaim Baskin
Two popular alternatives that offer a good trade-off between expressive power and computational efficiency are combinatorial (i. e., obtained via the Weisfeiler-Leman (WL) test) and spectral invariants.
1 code implementation • 17 Nov 2019 • Amit Boyarski, Sanketh Vedula, Alex Bronstein
Deep Matrix Factorization (DMF) is an emerging approach to the problem of matrix completion.
no code implementations • 25 Sep 2019 • Amit Boyarski, Sanketh Vedula, Alex Bronstein
We address the problem of reconstructing a matrix from a subset of its entries.
1 code implementation • 11 Sep 2017 • Amit Boyarski, Alex M. Bronstein, Michael M. Bronstein
Multidimensional Scaling (MDS) is one of the most popular methods for dimensionality reduction and visualization of high dimensional data.
Computational Geometry
1 code implementation • 25 Jul 2017 • Zorah Lähner, Matthias Vestner, Amit Boyarski, Or Litany, Ron Slossberg, Tal Remez, Emanuele Rodolà, Alex Bronstein, Michael Bronstein, Ron Kimmel, Daniel Cremers
We present a method to match three dimensional shapes under non-isometric deformations, topology changes and partiality.
no code implementations • 22 Jul 2017 • Julian Zilly, Amit Boyarski, Micael Carvalho, Amir Atapour Abarghouei, Konstantinos Amplianitis, Aleksandr Krasnov, Massimiliano Mancini, Hernán Gonzalez, Riccardo Spezialetti, Carlos Sampedro Pérez, Hao Li
Reviewing this project with modern eyes provides us with the opportunity to reflect on several issues, relevant now as then to the field of computer vision and research in general, that go beyond the technical aspects of the work.