Zobrazeno 1 - 10
of 57
pro vyhledávání: '"Lior Horesh"'
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-14 (2024)
Abstract The discovery of scientific formulae that parsimoniously explain natural phenomena and align with existing background theory is a key goal in science. Historically, scientists have derived natural laws by manipulating equations based on exis
Externí odkaz:
https://doaj.org/article/2d23b1f9d7e0455f91b3343f060e3fb4
Publikováno v:
Frontiers in Big Data, Vol 7 (2024)
Learning from complex, multidimensional data has become central to computational mathematics, and among the most successful high-dimensional function approximators are deep neural networks (DNNs). Training DNNs is posed as an optimization problem to
Externí odkaz:
https://doaj.org/article/14b061e7a7024a4c86b5fe0849726e16
Autor:
Cristina Cornelio, Sanjeeb Dash, Vernon Austel, Tyler R. Josephson, Joao Goncalves, Kenneth L. Clarkson, Nimrod Megiddo, Bachir El Khadir, Lior Horesh
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-10 (2023)
Abstract Scientists aim to discover meaningful formulae that accurately describe experimental data. Mathematical models of natural phenomena can be manually created from domain knowledge and fitted to data, or, in contrast, created automatically from
Externí odkaz:
https://doaj.org/article/a071e93910ae4c9eb6c7c38c46e4bf03
Publikováno v:
New Journal of Physics, Vol 21, Iss 2, p 023015 (2019)
While quantum devices rely on interactions between constituent subsystems and with their environment to operate, native interactions alone often fail to deliver targeted performance. Coherent pulsed control provides the ability to tailor effective in
Externí odkaz:
https://doaj.org/article/4d1d1815d70d40e693a3bad38d402b9f
Autor:
M. Bergamaschi Ganapini, Murray Campbell, Francesco Fabiano, Lior Horesh, Jon Lenchner, Andrea Loreggia, Nicholas Mattei, Francesca Rossi, Biplav Srivastava, Kristen Brent Venable
Publikováno v:
Machine Learning, Optimization, and Data Science ISBN: 9783031258909
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b604b8d1e049498d004331e9ac9bebae
https://doi.org/10.1007/978-3-031-25891-6_38
https://doi.org/10.1007/978-3-031-25891-6_38
Publikováno v:
Machine Learning and Knowledge Discovery in Databases ISBN: 9783031263866
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d1445c0e07ad98a6414ea9b9d5b13747
https://doi.org/10.1007/978-3-031-26387-3_41
https://doi.org/10.1007/978-3-031-26387-3_41
Publikováno v:
ACM SIGMETRICS Performance Evaluation Review. 50:42-44
It is well known that strong connections exist between random walks (RWs) in the nonnegative quarter plane and the mathematical performance modeling, analysis and optimization of computer systems and communication networks. Examples include adaptive
Autor:
Vassilis Kalantzis, Lior Horesh
Publikováno v:
Numerical Linear Algebra with Applications. 30
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 35:8767-8775
This paper deals with distributed reinforcement learning problems with safety constraints. In particular, we consider that a team of agents cooperate in a shared environment, where each agent has its individual reward function and safety constraints
Publikováno v:
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).