Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Eyal Rozenberg"'
Publikováno v:
Communications Physics, Vol 7, Iss 1, Pp 1-10 (2024)
Abstract Non-linear dynamical systems describe numerous real-world phenomena, ranging from the weather, to financial markets and disease progression. Individual systems may share substantial common information, for example patients’ anatomy. Lately
Externí odkaz:
https://doaj.org/article/bd7aa942502c4d5fa394adbc9ccbeff4
Publikováno v:
IEEE Access, Vol 9, Pp 67620-67633 (2021)
Motivation: The localization of objects in images is a longstanding objective within the field of image processing. Most current techniques are based on machine learning approaches, which typically require careful annotation of training samples in th
Externí odkaz:
https://doaj.org/article/c596d247a52f4af389651bf027535228
Autor:
Eyal Rozenberg, Daniel Freedman
Publikováno v:
Machine Learning: Science and Technology, Vol 4, Iss 3, p 035037 (2023)
Learning over the domain of 3D graphs has applications in a number of scientific and engineering disciplines, including molecular chemistry, high energy physics, and computer vision. We consider a specific problem in this domain, namely: given one su
Externí odkaz:
https://doaj.org/article/4b92c9932b7040ada554fc470350e447
Autor:
Alexander M. Bronstein, Ofir Yesharim, Eyal Rozenberg, Daniel Freedman, Ady Arie, Aviv Karnieli, Sivan Trajtenberg-Mills
Publikováno v:
Conference on Lasers and Electro-Optics.
We introduce a systematic approach for designing 3D nonlinear photonic crystals and pump beams for generating desired quantum correlations between structured photon-pairs. Our model is fully differentiable, allowing accurate and efficient learning an
Autor:
Eyal Rozenberg, Aviv Karnieli, Ofir Yesharim, Joshua Foley-Comer, Sivan Trajtenberg-Mills, Daniel Freedman, Alex M. Bronstein, Ady Arie
Publikováno v:
Optica. 9:602
Spontaneous parametric downconversion (SPDC) in quantum optics is an invaluable resource for the realization of high-dimensional qudits with spatial modes of light. One of the main open challenges is how to directly generate a desirable qudit state i
Autor:
Eyal Rozenberg, Ady Arie
Phase-matched nonlinear processes exhibit a tradeoff between the conversion efficiency and the acceptance bandwidth. Adiabatic nonlinear processes, in which the phase mismatch varies slowly along the interaction length, enable us to overcome this tra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eb977bb36bd86f89d3b5846448a85558
Autor:
Eyal Rozenberg
Publikováno v:
ICDE
We argue for a richer view of the space of lightweight compression schemes for columnar DBMSes: We demonstrate how even simple simple schemes used in DBMSes decompose into constituent schemes through a columnar perspective on their decompression. Wit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::278a50e3ef65107148e49037cc4c5577
https://ir.cwi.nl/pub/28144
https://ir.cwi.nl/pub/28144
Autor:
Peter Boncz, Eyal Rozenberg
Publikováno v:
DaMoN
This short paper present a collection of GPU lightweight decompression algorithms implementations within a FOSS library, Giddy - the first to be published to offer such functionality. As the use of compression is important in ameliorating PCIe data t
Publikováno v:
computational complexity. 21:129-192
Referring to the query complexity of property testing, we prove the existence of a rich hierarchy of corresponding complexity classes. That is, for any relevant function q, we prove the existence of properties that have testing complexity Θ(q). Such
Autor:
Eyal Rozenberg, Eldar Fischer
Publikováno v:
Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques ISBN: 9783642229343
APPROX-RANDOM
APPROX-RANDOM
We consider natural graph property tests, which act entirely independently of the size of the graph being tested. We introduce the notion of properties being inflatable -- closed under taking (balanced) blowups -- and show that the query complexity o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::971df016cf7c6bbd455cc52e84ba9e57
https://doi.org/10.1007/978-3-642-22935-0_46
https://doi.org/10.1007/978-3-642-22935-0_46