Zobrazeno 1 - 10
of 24 335
pro vyhledávání: '"A. Elkin"'
Autor:
Tsesmelis, Theodore, Palmieri, Luca, Khoroshiltseva, Marina, Islam, Adeela, Elkin, Gur, Shahar, Ofir Itzhak, Scarpellini, Gianluca, Fiorini, Stefano, Ohayon, Yaniv, Alali, Nadav, Aslan, Sinem, Morerio, Pietro, Vascon, Sebastiano, Gravina, Elena, Napolitano, Maria Cristina, Scarpati, Giuseppe, Zuchtriegel, Gabriel, Spühler, Alexandra, Fuchs, Michel E., James, Stuart, Ben-Shahar, Ohad, Pelillo, Marcello, Del Bue, Alessio
This paper proposes the RePAIR dataset that represents a challenging benchmark to test modern computational and data driven methods for puzzle-solving and reassembly tasks. Our dataset has unique properties that are uncommon to current benchmarks for
Externí odkaz:
http://arxiv.org/abs/2410.24010
Autor:
Suárez-Castro, Andres Felipe, Acevedo-Charry, Orlando, Jiménez, Luis Hernando Romero, Noguera-Urbano, Elkin A., Ayerbe-Quiñones, Fernando, Ocampo-Peñuela, Natalia
Publikováno v:
Diversity and Distributions, 2024 Oct 01. 30(10), 1-13.
Externí odkaz:
https://www.jstor.org/stable/48789750
Autor:
Idnay, Betina, Xu, Zihan, Adams, William G., Adibuzzaman, Mohammad, Anderson, Nicholas R., Bahroos, Neil, Bell, Douglas S., Bumgardner, Cody, Campion, Thomas, Castro, Mario, Cimino, James J., Cohen, I. Glenn, Dorr, David, Elkin, Peter L, Fan, Jungwei W., Ferris, Todd, Foran, David J., Hanauer, David, Hogarth, Mike, Huang, Kun, Kalpathy-Cramer, Jayashree, Kandpal, Manoj, Karnik, Niranjan S., Katoch, Avnish, Lai, Albert M., Lambert, Christophe G., Li, Lang, Lindsell, Christopher, Liu, Jinze, Lu, Zhiyong, Luo, Yuan, McGarvey, Peter, Mendonca, Eneida A., Mirhaji, Parsa, Murphy, Shawn, Osborne, John D., Paschalidis, Ioannis C., Harris, Paul A., Prior, Fred, Shaheen, Nicholas J., Shara, Nawar, Sim, Ida, Tachinardi, Umberto, Waitman, Lemuel R., Wright, Rosalind J., Zai, Adrian H., Zheng, Kai, Lee, Sandra Soo-Jin, Malin, Bradley A., Natarajan, Karthik, Price II, W. Nicholson, Zhang, Rui, Zhang, Yiye, Xu, Hua, Bian, Jiang, Weng, Chunhua, Peng, Yifan
This study reports a comprehensive environmental scan of the generative AI (GenAI) infrastructure in the national network for clinical and translational science across 36 institutions supported by the Clinical and Translational Science Award (CTSA) P
Externí odkaz:
http://arxiv.org/abs/2410.12793
Autor:
Batchu, Vishal, Wilson, Alex, Peng, Betty, Elkin, Carl, Jain, Umangi, Van Arsdale, Christopher, Goroshin, Ross, Gulshan, Varun
The transition to renewable energy, particularly solar, is key to mitigating climate change. Google's Solar API aids this transition by estimating solar potential from aerial imagery, but its impact is constrained by geographical coverage. This paper
Externí odkaz:
http://arxiv.org/abs/2408.14400
This work addresses the challenge of quantifying originality in text-to-image (T2I) generative diffusion models, with a focus on copyright originality. We begin by evaluating T2I models' ability to innovate and generalize through controlled experimen
Externí odkaz:
http://arxiv.org/abs/2408.08184
Autor:
Royo, Pedro, Muñoz, Elkin, Romero, José-Enrique, Manjón, José-Vicente, Roig, Catalina, Fernández-Delgado, Carmen, Muñiz, Nuria, Requena, Antonio, Garrido, Nicolás, Velasco, Juan Antonio García, Pellicer, Antonio
Ultrasound follicle tracking is an important part of cycle monitoring. OSIS Ovary (Online System for Image Segmentation for the Ovary) has been conceived aiming to aid the management of the workflow in follicle tracking, one of the most iterative pro
Externí odkaz:
http://arxiv.org/abs/2407.18818
Autor:
Hacohen, Uri, Haviv, Adi, Sarfaty, Shahar, Friedman, Bruria, Elkin-Koren, Niva, Livni, Roi, Bermano, Amit H
The advent of Generative Artificial Intelligence (GenAI) models, including GitHub Copilot, OpenAI GPT, and Stable Diffusion, has revolutionized content creation, enabling non-professionals to produce high-quality content across various domains. This
Externí odkaz:
http://arxiv.org/abs/2403.17691
Publikováno v:
IEEE J. Multiscale Multiphysics Comput. Tech., vol. 9, pp. 247-257, 2024
Josephson traveling-wave parametric amplifiers (JTWPAs) are wideband, ultralow-noise amplifiers used to enable the readout of superconducting qubits. While individual JTWPAs have achieved high performance, behavior between devices is inconsistent due
Externí odkaz:
http://arxiv.org/abs/2403.15217
We develop a fully vectorial and non-paraxial formalism to describe spontaneous parametric down-conversion in nonlinear thin films. The formalism is capable of treating slabs with a sub-wavelength thickness, describe the associated Fabry-P\'erot effe
Externí odkaz:
http://arxiv.org/abs/2403.08633
In this paper we study Lie 2-algebras over an algebraically closed field of characteristic two, which have a triangulable Cartan subalgebra, and derive some general properties of centerless ones. These properties allow us to do an analysis on simple
Externí odkaz:
http://arxiv.org/abs/2406.07554