Zobrazeno 1 - 10
of 16 229
pro vyhledávání: '"A. Shalev"'
Publikováno v:
European Psychiatry, Vol 66, Pp S74-S74 (2023)
Introduction Family caregivers can be a valuable source of knowledge and help in treating persons with mental illness during a psychiatric hospitalization and in ensuring a continuity of service between family caregivers and professionals after the d
Externí odkaz:
https://doaj.org/article/95ee1c4d81c74b67b2d745248735d1ff
Publikováno v:
European Psychiatry, Vol 66, Pp S598-S598 (2023)
Introduction Restricted visitations of family members of persons with mental illness in psychiatric hospitals which may occur during times of public health crises such as the COVID-19 pandemic can have potential adverse consequences on the family mem
Externí odkaz:
https://doaj.org/article/cb479eee39ae435285f4335dde1d7987
Autor:
Yu, Zhiying, Ben-David, Shalev
We study the quantum query algorithms for simplex finding, a generalization of triangle finding to hypergraphs. This problem satisfies a rank-reduction property: a quantum query algorithm for finding simplices in rank-$r$ hypergraphs can be turned in
Externí odkaz:
http://arxiv.org/abs/2409.00239
We present a novel approach for test-time adaptation via online self-training, consisting of two components. First, we introduce a statistical framework that detects distribution shifts in the classifier's entropy values obtained on a stream of unlab
Externí odkaz:
http://arxiv.org/abs/2408.07511
Autor:
Shalev-Arkushin, Rotem, Azulay, Aharon, Halperin, Tavi, Richardson, Eitan, Bermano, Amit H., Fried, Ohad
Diffusion-based generative models have recently shown remarkable image and video editing capabilities. However, local video editing, particularly removal of small attributes like glasses, remains a challenge. Existing methods either alter the videos
Externí odkaz:
http://arxiv.org/abs/2406.14510
Large language models (LLMs) have shown an impressive ability to perform tasks believed to require thought processes. When the model does not document an explicit thought process, it becomes difficult to understand the processes occurring within its
Externí odkaz:
http://arxiv.org/abs/2406.13858
Autor:
Raab, Sigal, Gat, Inbar, Sala, Nathan, Tevet, Guy, Shalev-Arkushin, Rotem, Fried, Ohad, Bermano, Amit H., Cohen-Or, Daniel
Given the remarkable results of motion synthesis with diffusion models, a natural question arises: how can we effectively leverage these models for motion editing? Existing diffusion-based motion editing methods overlook the profound potential of the
Externí odkaz:
http://arxiv.org/abs/2406.06508
Autor:
Avnat, Eden, Levy, Michal, Herstain, Daniel, Yanko, Elia, Joya, Daniel Ben, Katz, Michal Tzuchman, Eshel, Dafna, Laros, Sahar, Dagan, Yael, Barami, Shahar, Mermelstein, Joseph, Ovadia, Shahar, Shomron, Noam, Shalev, Varda, Abdulnour, Raja-Elie E.
Clinical problem-solving requires processing of semantic medical knowledge such as illness scripts and numerical medical knowledge of diagnostic tests for evidence-based decision-making. As large language models (LLMs) show promising results in many
Externí odkaz:
http://arxiv.org/abs/2406.03855
Autor:
Tzachor, Issar, Lerner, Boaz, Levy, Matan, Green, Michael, Shalev, Tal Berkovitz, Habib, Gavriel, Samuel, Dvir, Zailer, Noam Korngut, Shimshi, Or, Darshan, Nir, Ben-Ari, Rami
The task of Visual Place Recognition (VPR) is to predict the location of a query image from a database of geo-tagged images. Recent studies in VPR have highlighted the significant advantage of employing pre-trained foundation models like DINOv2 for t
Externí odkaz:
http://arxiv.org/abs/2405.18065
We describe a novel subgradient following apparatus for calculating the optimum of convex problems with variational penalties. In this setting, we receive a sequence $y_i,\ldots,y_n$ and seek a smooth sequence $x_1,\ldots,x_n$. The smooth sequence at
Externí odkaz:
http://arxiv.org/abs/2405.04710