Zobrazeno 1 - 10
of 3 767
pro vyhledávání: '"Shafir, Or"'
We consider a tracer particle performing a random walk on a two-dimensional lattice in the presence of immobile hard obstacles. Starting from equilibrium, a constant force pulling on the particle is switched on, driving the system to a new stationary
Externí odkaz:
http://arxiv.org/abs/2409.02696
Distributed Denial of Service (DDoS) attacks are getting increasingly harmful to the Internet, showing no signs of slowing down. Developing an accurate detection mechanism to thwart DDoS attacks is still a big challenge due to the rich variety of the
Externí odkaz:
http://arxiv.org/abs/2405.07232
Autor:
Zhu, Menglin, Xu, Michael, Yun, Yu, Wu, Liyan, Shafir, Or, Gilgenbach, Colin, Martin, Lane W., Grinberg, Ilya, Spanier, Jonathan E., LeBeau, James M.
Switchable order parameters in ferroic materials are essential for functional electronic devices, yet disruptions of the ordering can take the form of planar boundaries or defects that exhibit distinct properties. Characterizing the structure of thes
Externí odkaz:
http://arxiv.org/abs/2403.04904
Autor:
Shafir, Dan, Burov, Stanislav
Strong, scale-free disorder disrupts typical transport properties like the Stokes-Einstein relation and linear response, leading to anomalous, non-diffusive motion observed in amorphous materials, glasses, living cells, and other systems. Our study r
Externí odkaz:
http://arxiv.org/abs/2403.01665
Autor:
Gordon, Brian, Bitton, Yonatan, Shafir, Yonatan, Garg, Roopal, Chen, Xi, Lischinski, Dani, Cohen-Or, Daniel, Szpektor, Idan
Publikováno v:
ECCV 2024
While existing image-text alignment models reach high quality binary assessments, they fall short of pinpointing the exact source of misalignment. In this paper, we present a method to provide detailed textual and visual explanation of detected misal
Externí odkaz:
http://arxiv.org/abs/2312.03766
Autor:
Wang, James Z., Zhao, Sicheng, Wu, Chenyan, Adams, Reginald B., Newman, Michelle G., Shafir, Tal, Tsachor, Rachelle
The emergence of artificial emotional intelligence technology is revolutionizing the fields of computers and robotics, allowing for a new level of communication and understanding of human behavior that was once thought impossible. While recent advanc
Externí odkaz:
http://arxiv.org/abs/2307.13463
Autor:
Shafir, Or, Grinberg, Ilya
Deep potentials for molecular dynamics (MD) achieve first-principles accuracy at much lower computational cost. However, their use in large length- and time-scale simulations is limited by their lower speeds compared to analytical atomistic potential
Externí odkaz:
http://arxiv.org/abs/2306.08285
Body movements carry important information about a person's emotions or mental state and are essential in daily communication. Enhancing the ability of machines to understand emotions expressed through body language can improve the communication of a
Externí odkaz:
http://arxiv.org/abs/2304.02187
Recent work has demonstrated the significant potential of denoising diffusion models for generating human motion, including text-to-motion capabilities. However, these methods are restricted by the paucity of annotated motion data, a focus on single-
Externí odkaz:
http://arxiv.org/abs/2303.01418