Zobrazeno 1 - 10
of 82 607
pro vyhledávání: '"Segal, Or"'
Autor:
Zhang, Li, Jindal, Basu, Alaa, Ahmed, Weinreb, Robert, Wilson, David, Segal, Eran, Zou, James, Xie, Pengtao
Semantic segmentation of medical images is pivotal in applications like disease diagnosis and treatment planning. While deep learning has excelled in automating this task, a major hurdle is the need for numerous annotated segmentation masks, which ar
Externí odkaz:
http://arxiv.org/abs/2408.17421
We suggest efficient and provable methods to compute an approximation for imbalanced point clustering, that is, fitting $k$-centers to a set of points in $\mathbb{R}^d$, for any $d,k\geq 1$. To this end, we utilize \emph{coresets}, which, in the cont
Externí odkaz:
http://arxiv.org/abs/2408.14225
The utility of large language models (LLMs) depends heavily on the quality and quantity of their training data. Many organizations possess large data corpora that could be leveraged to train or fine-tune LLMs tailored to their specific needs. However
Externí odkaz:
http://arxiv.org/abs/2408.11121
Autor:
Lutsker, Guy, Sapir, Gal, Godneva, Anastasia, Shilo, Smadar, Greenfield, Jerry R, Samocha-Bonet, Dorit, Mannor, Shie, Meirom, Eli, Chechik, Gal, Rossman, Hagai, Segal, Eran
Recent advances in self-supervised learning enabled novel medical AI models, known as foundation models (FMs) that offer great potential for characterizing health from diverse biomedical data. Continuous glucose monitoring (CGM) provides rich, tempor
Externí odkaz:
http://arxiv.org/abs/2408.11876
Autor:
Einig, Lucas, Palud, Pierre, Roueff, Antoine, Pety, Jérôme, Bron, Emeric, Petit, Franck Le, Gerin, Maryvonne, Chanussot, Jocelyn, Chainais, Pierre, Thouvenin, Pierre-Antoine, Languignon, David, Bešlić, Ivana, Coudé, Simon, Mazurek, Helena, Orkisz, Jan H., Santa-Maria, Miriam G., Ségal, Léontine, Zakardjian, Antoine, Bardeau, Sébastien, Demyk, Karine, Magalhes, Victor de Souza, Goicoechea, Javier R., Gratier, Pierre, Guzmán, Viviana V., Hughes, Annie, Levrier, François, Bourlot, Jacques Le, Lis, Dariusz C., Liszt, Harvey S., Peretto, Nicolas, Roueff, Evelyne, Sievers, Albrecht
Observations of ionic, atomic, or molecular lines are performed to improve our understanding of the interstellar medium (ISM). However, the potential of a line to constrain the physical conditions of the ISM is difficult to assess quantitatively, bec
Externí odkaz:
http://arxiv.org/abs/2408.08114
We present the concept of time-domain bound states in continuum. We show that a rapid judiciously-designed temporal modulation of the refractive index in a spatially homogenous medium gives rise to a bound state in time embedded in a continuum of wav
Externí odkaz:
http://arxiv.org/abs/2408.06771
We describe a novel multi-agent, multi-scale computational cognitive interaction model of instrument operations at the Linac Coherent Light Source (LCLS). A leading scientific user facility, LCLS is the world's first hard x-ray free electron laser, o
Externí odkaz:
http://arxiv.org/abs/2408.04734
Autor:
Garwoła, Jakub, Segal, Dvira
We present an analytic approach to treat open quantum systems strongly coupled to multiple environments via noncommuting system operators, a prime example is a qubit concurrently coupled to both decoherring and dissipative baths. Our approach, which
Externí odkaz:
http://arxiv.org/abs/2408.01865
Choosing a meaningful subset of features from high-dimensional observations in unsupervised settings can greatly enhance the accuracy of downstream analysis, such as clustering or dimensionality reduction, and provide valuable insights into the sourc
Externí odkaz:
http://arxiv.org/abs/2407.09061
We numerically investigate the robustness against various perturbations of measurement-induced phase transition in monitored quantum Ising models in the no-click limit, where the dynamics is described by a non-Hermitian Hamiltonian. We study perturba
Externí odkaz:
http://arxiv.org/abs/2407.08703