Zobrazeno 1 - 10
of 12 281
pro vyhledávání: '"P. Yuval"'
Autor:
Bhardwaj, Vishal, Rajagopal, Lekshmi, Arici, Lorenzo, Bocarsly, Matan, Ilin, Alexey, Shavit, Gal, Watanabe, Kenji, Taniguchi, Takashi, Oreg, Yuval, Holder, Tobias, Ronen, Yuval
The coexistence of superconductivity and magnetism within a single material system represents a long-standing goal in condensed matter physics. Van der Waals-based moir\'e superlattices provide an exceptional platform for exploring competing and coex
Externí odkaz:
http://arxiv.org/abs/2412.11135
We propose a mechanism which can generate supercurrents in spin-orbit coupled superconductors with charged magnetic inclusions. The basic idea is that through spin-orbit interaction, the in-plane electric field near the edge of each inclusion appears
Externí odkaz:
http://arxiv.org/abs/2412.15203
Autor:
Berger, Harel, Shavitt, Yuval
Generative AI is an invaluable tool, however, in some parts of the world, this technology is censored due to political or societal issues. In this work, we monitor Generative AI censorship through the DNS protocol. We find China to be a leading count
Externí odkaz:
http://arxiv.org/abs/2412.14286
Autor:
Peled, Yuval, Peleg, Niv
We study the maximum dimension $d=d(n,p)$ for which an Erd\H{o}s-R\'enyi $G(n,p)$ random graph is $d$-rigid. Our main results reveal two different regimes of rigidity in $G(n,p)$ separated at $p_c=C_*\log n/n,~C_*=2/(1-\log 2)$ -- the point where the
Externí odkaz:
http://arxiv.org/abs/2412.13127
Many recent investigations conclude, based on asymptotic complexity analyses, that quantum computers could accelerate combinatorial optimization (CO) tasks relative to a purely classical computer. However, asymptotic analysis alone cannot support a c
Externí odkaz:
http://arxiv.org/abs/2412.13035
Climate models struggle to accurately simulate precipitation, particularly extremes and the diurnal cycle. Here, we present a hybrid model that is trained directly on satellite-based precipitation observations. Our model runs at 2.8$^\circ$ resolutio
Externí odkaz:
http://arxiv.org/abs/2412.11973
Autor:
Piasetzky, Jonatan, Drori, Yehonatan, Warshavski, Yuval, Rotem, Amit, Cohen, Khen, Oz, Yaron, Suchowski, Haim
Directional couplers are essential components in integrated photonics. Given their widespread use, accurate characterization of directional couplers is crucial for ensuring optimal performance. However, it is challenging due to the coupling between f
Externí odkaz:
http://arxiv.org/abs/2412.11670
Text-to-video models have made significant strides in generating short video clips from textual descriptions. Yet, a significant challenge remains: generating several video shots of the same characters, preserving their identity without hurting video
Externí odkaz:
http://arxiv.org/abs/2412.07750
Machine learning models trained on tabular data are vulnerable to adversarial attacks, even in realistic scenarios where attackers have access only to the model's outputs. Researchers evaluate such attacks by considering metrics like success rate, pe
Externí odkaz:
http://arxiv.org/abs/2412.07326
Face image restoration aims to enhance degraded facial images while addressing challenges such as diverse degradation types, real-time processing demands, and, most crucially, the preservation of identity-specific features. Existing methods often str
Externí odkaz:
http://arxiv.org/abs/2412.06753