Zobrazeno 1 - 10
of 8 382
pro vyhledávání: '"Zarei P"'
Autor:
Zarei, Sanaz
A thorough investigation of diffractive optical neural networks provides evidence that such networks are not capable of performing complex tasks. In this short report, these evidences are represented succinctly.
Externí odkaz:
http://arxiv.org/abs/2407.18493
We study a two-field model where a quintessence field with an exponential potential $e^{-\beta\phi/M_P}$ is coupled to the Higgs field. It is claimed that this model is consistent with the proposed Swampland conjecture. We check this claim by calcula
Externí odkaz:
http://arxiv.org/abs/2406.15790
We investigate the sensing capacity of non-equilibrium dynamics in quantum systems exhibiting Bloch oscillations. By focusing on the resource efficiency of the probe, quantified by quantum Fisher information, we find different scaling behaviors in tw
Externí odkaz:
http://arxiv.org/abs/2406.13921
Autor:
Zarei, Arman, Rezaei, Keivan, Basu, Samyadeep, Saberi, Mehrdad, Moayeri, Mazda, Kattakinda, Priyatham, Feizi, Soheil
Recent text-to-image diffusion-based generative models have the stunning ability to generate highly detailed and photo-realistic images and achieve state-of-the-art low FID scores on challenging image generation benchmarks. However, one of the primar
Externí odkaz:
http://arxiv.org/abs/2406.07844
Identifying the origin of data is crucial for data provenance, with applications including data ownership protection, media forensics, and detecting AI-generated content. A standard approach involves embedding-based retrieval techniques that match qu
Externí odkaz:
http://arxiv.org/abs/2406.02836
We examine the impact of time delay on two coupled massive oscillators within the second-order Kuramoto model, which is relevant to the operations of real-world networks that rely on signal transmission speed constraints. Our analytical and numerical
Externí odkaz:
http://arxiv.org/abs/2406.01208
Autor:
Kalibhat, Neha, Kattakinda, Priyatham, Zarei, Arman, Seleznev, Nikita, Sharpe, Samuel, Kumar, Senthil, Feizi, Soheil
Vision transformers have established a precedent of patchifying images into uniformly-sized chunks before processing. We hypothesize that this design choice may limit models in learning comprehensive and compositional representations from visual data
Externí odkaz:
http://arxiv.org/abs/2405.16401
Autor:
Tushar, Fakrul Islam, Vancoillie, Liesbeth, McCabe, Cindy, Kavuri, Amareswararao, Dahal, Lavsen, Harrawood, Brian, Fryling, Milo, Zarei, Mojtaba, Sotoudeh-Paima, Saman, Ho, Fong Chi, Ghosh, Dhrubajyoti, Luo, Sheng, Segars, W. Paul, Abadi, Ehsan, Lafata, Kyle J., Samei, Ehsan, Lo, Joseph Y.
Importance: The efficacy of lung cancer screening can be significantly impacted by the imaging modality used. This Virtual Lung Screening Trial (VLST) addresses the critical need for precision in lung cancer diagnostics and the potential for reducing
Externí odkaz:
http://arxiv.org/abs/2404.11221
We prove that there exist $\mathsf{SU}_{3}$-invariant metrics on Aloff-Wallach spaces $W^7_{k_1, k_2}$, as well as $\mathsf{SU}_{5}$-invariant metrics on the Berger space $B^{13}$, which have positive sectional curvature and evolve under the Ricci fl
Externí odkaz:
http://arxiv.org/abs/2403.13764
Autor:
Zarei, Sanaz
A tunable, polarization sensitive microwave filter based on a reconfigurable dual-layered two-dimensional metallic photonic crystal is presented. The filter consists of a metallic plate with periodic holes and metal pillars which are anchored in a su
Externí odkaz:
http://arxiv.org/abs/2402.10944