Zobrazeno 1 - 10
of 6 585
pro vyhledávání: '"Sayyed, P."'
A tensor-based formula for solving the linear system involving Kronecker sum is proposed. It is shown that the linear system involving Kronecker sum of matrices is directly related to the matrix and tensor forms of Sylvester equation. The new tensor-
Externí odkaz:
http://arxiv.org/abs/2410.04026
Autor:
Sayyed, Sazzad, Zhang, Milin, Rifat, Shahriar, Swami, Ananthram, De Lucia, Michael, Restuccia, Francesco
In order to deploy deep neural networks (DNNs) in high-stakes scenarios, it is imperative that DNNs provide inference robust to external perturbations - both intentional and unintentional. Although the resilience of DNNs to intentional and unintentio
Externí odkaz:
http://arxiv.org/abs/2408.00193
Autor:
Ahamed, Sayyed Farid, Banerjee, Soumya, Roy, Sandip, Quinn, Devin, Vucovich, Marc, Choi, Kevin, Rahman, Abdul, Hu, Alison, Bowen, Edward, Shetty, Sachin
Over the last few years, federated learning (FL) has emerged as a prominent method in machine learning, emphasizing privacy preservation by allowing multiple clients to collaboratively build a model while keeping their training data private. Despite
Externí odkaz:
http://arxiv.org/abs/2407.19119
Autor:
Rafi, Sayyed A., Nugroho, Stevanus K., Tamura, Motohide, Nortmann, Lisa, Sánchez-López, Alejandro
Transmission spectroscopy presents one of the most successful approaches for investigating the atmospheres of exoplanets. We analyzed the near-infrared high-resolution transmission spectrum of a hot Saturn, HD 149026 b, taken using CARMENES spectrogr
Externí odkaz:
http://arxiv.org/abs/2407.01266
Autor:
Armstrong, Robert, Sheldon, Erin, Huff, Eric, Bosch, Jim, Rykoff, Eli, Mandelbaum, Rachel, Kannawadi, Arun, Melchior, Peter, Lupton, Robert, Becker, Matthew R., Al-Sayyed, Yusra, Collaboration, The LSST Dark Energy Science
Upcoming wide field surveys will have many overlapping epochs of the same region of sky. The conventional wisdom is that in order to reduce the errors sufficiently for systematics-limited measurements, like weak lensing, we must do simultaneous fitti
Externí odkaz:
http://arxiv.org/abs/2407.01771
This study aims at predicting the impact of e-commerce indicators on international trade of the selected OECD countries and Iran, by using the artificial intelligence approach and P-VAR. According to the nature of export, import, GDP, and ICT functio
Externí odkaz:
http://arxiv.org/abs/2403.20310
Artificial Neural Networks (ANN) which are a branch of artificial intelligence, have shown their high value in lots of applications and are used as a suitable forecasting method. Therefore, this study aims at forecasting imports in OECD member select
Externí odkaz:
http://arxiv.org/abs/2402.01648
The present study aimed to forecast the exports of a select group of Organization for Economic Co-operation and Development (OECD) countries and Iran using the neural networks. The data concerning the exports of the above countries from 1970 to 2019
Externí odkaz:
http://arxiv.org/abs/2312.15535
Autor:
Banerjee, Soumya, Roy, Sandip, Ahamed, Sayyed Farid, Quinn, Devin, Vucovich, Marc, Nandakumar, Dhruv, Choi, Kevin, Rahman, Abdul, Bowen, Edward, Shetty, Sachin
The membership inference attack (MIA) is a popular paradigm for compromising the privacy of a machine learning (ML) model. MIA exploits the natural inclination of ML models to overfit upon the training data. MIAs are trained to distinguish between tr
Externí odkaz:
http://arxiv.org/abs/2312.00051
Publikováno v:
Physics Letters B, Volume 855, 2024, 138810, ISSN 0370-2693
We relate physical time with the topology of magnetic field vortices. We base ourselves on a formulation of unimodular gravity where the cosmological constant $\Lambda$ appears as the canonical dual to a variable which on-shell becomes four-volume ti
Externí odkaz:
http://arxiv.org/abs/2311.11160