Zobrazeno 1 - 10
of 4 687
pro vyhledávání: '"A Pezeshki"'
In this work, we tackle a challenging and extreme form of subpopulation shift, which is termed compositional shift. Under compositional shifts, some combinations of attributes are totally absent from the training distribution but present in the test
Externí odkaz:
http://arxiv.org/abs/2410.06303
In this work, we introduce a new approach to processing complex-valued data using DNNs consisting of parallel real-valued subnetworks with coupled outputs. Our proposed class of architectures, referred to as Steinmetz Neural Networks, leverages multi
Externí odkaz:
http://arxiv.org/abs/2409.10075
We present a simple performance bound for the greedy scheme in string optimization problems that obtains strong results. Our approach vastly generalizes the group of previously established greedy curvature bounds by Conforti and Cornu\'{e}jols (1984)
Externí odkaz:
http://arxiv.org/abs/2409.05020
Autor:
Li, Pingzhi, Kools, Thomas J., Pezeshki, Hamed, Joosten, Joao M. B. E., Li, Jianing, Igarashi, Junta, Hohlfeld, Julius, Lavrijsen, Reinoud, Mangin, Stephane, Malinowski, Gregory, Koopmans, Bert
Single pulse all-optical switching of magnetization (AOS) in Co/Gd based synthetic ferrimagnets carries promises for hybrid spintronic-photonic integration. A crucial next step progressing towards this vision is to gain insight into AOS and multi-dom
Externí odkaz:
http://arxiv.org/abs/2406.16027
Autor:
Venkatasubramanian, Shyam, Kang, Bosung, Pezeshki, Ali, Rangaswamy, Muralidhar, Tarokh, Vahid
This work presents a large-scale dataset for radar adaptive signal processing (RASP) applications, aimed at supporting the development of data-driven models within the radar community. The dataset, called RASPNet, consists of 100 realistic scenarios
Externí odkaz:
http://arxiv.org/abs/2406.09638
Autor:
Jin, Xin, Aglieri, Vincenzo, Jeong, Young-Gyun, Pezeshki, Atiye, Skokan, Lilian, Shagar, Mostafa, Jia, Yuechen, Bianucci, Pablo, Ruediger, Andreas, Orgiu, Emanuele, Toma, Andrea, Razzari, Luca
Two-dimensional materials, including transition metal dichalcogenides, are attractive for a variety of applications in electronics as well as photonics and have recently been envisioned as an appealing platform for phonon polaritonics. However, their
Externí odkaz:
http://arxiv.org/abs/2405.08851
The emergence of label-free microscopy techniques has significantly improved our ability to precisely characterize biochemical targets, enabling non-invasive visualization of cellular organelles and tissue organization. Each label-free method has spe
Externí odkaz:
http://arxiv.org/abs/2405.04334
We consider the celebrated bound introduced by Conforti and Cornu\'ejols (1984) for greedy schemes in submodular optimization. The bound assumes a submodular function defined on a collection of sets forming a matroid and is based on greedy curvature.
Externí odkaz:
http://arxiv.org/abs/2404.06669
Publikováno v:
J. Appl. Phys. 136, 083908 (2024)
We present an integrated magneto-photonic device for all-optical switching of non-volatile multi-bit spintronic memory. The bits are based on stand-alone magneto-tunnel junctions which are perpendicularly magnetized with all-optically switchable free
Externí odkaz:
http://arxiv.org/abs/2402.02485
Autor:
Hemmat, Reyhane Askari, Pezeshki, Mohammad, Bordes, Florian, Drozdzal, Michal, Romero-Soriano, Adriana
Current status quo in machine learning is to use static datasets of real images for training, which often come from long-tailed distributions. With the recent advances in generative models, researchers have started augmenting these static datasets wi
Externí odkaz:
http://arxiv.org/abs/2310.00158