Zobrazeno 1 - 10
of 17 148
pro vyhledávání: '"Younès A"'
Autor:
Estelle Renaux, Charlotte Baudouin, Olivier Schakman, Ondine Gay, Manon Martin, Damien Marchese, Younès Achouri, René Rezsohazy, Françoise Gofflot, Frédéric Clotman
Publikováno v:
Frontiers in Cellular Neuroscience, Vol 18 (2024)
Motor activity is organized by neuronal networks composed of motor neurons and a wide variety of pre-motor interneuron populations located in the brainstem and spinal cord. Differential expression and single-cell RNA sequencing studies recently unvei
Externí odkaz:
https://doaj.org/article/4df343ff15cd4de595e1c6ea2dfabe69
Autor:
Schlossberger, Noah, Rotunno, Andrew P., Eckel, Stephen P., Norrgard, Eric B., Manchaiah, Dixith, Prajapati, Nikunjkumar, Artusio-Glimpse, Alexandra B., Berweger, Samuel, Simons, Matthew T., Shylla, Dangka, Watterson, William J., Patrick, Charles, Meraki, Adil, Talashila, Rajavardhan, Younes, Amanda, La Mantia, David S., Holloway, Christopher L.
Rydberg states of alkali atoms are highly sensitive to electromagnetic radiation in the GHz-to-THz regime because their transitions have large electric dipole moments. Consequently, environmental blackbody radiation (BBR) can couple Rydberg states to
Externí odkaz:
http://arxiv.org/abs/2410.11694
The ability to predict future events or patterns based on previous experience is crucial for many applications such as traffic control, weather forecasting, or supply chain management. While modern supervised Machine Learning approaches excel at such
Externí odkaz:
http://arxiv.org/abs/2410.08637
The capabilities of Large Language Models (LLMs) have significantly evolved, extending from natural language processing to complex tasks like code understanding and generation. We expand the scope of LLMs' capabilities to a broader context, using LLM
Externí odkaz:
http://arxiv.org/abs/2410.06667
Autor:
Zuo, Jingwei, Velikanov, Maksim, Rhaiem, Dhia Eddine, Chahed, Ilyas, Belkada, Younes, Kunsch, Guillaume, Hacid, Hakim
In this technical report, we present Falcon Mamba 7B, a new base large language model based on the novel Mamba architecture. Falcon Mamba 7B is trained on 5.8 trillion tokens with carefully selected data mixtures. As a pure Mamba-based model, Falcon
Externí odkaz:
http://arxiv.org/abs/2410.05355
Autor:
Herringer, Paul, Bulchandani, Vir B., Javanmard, Younes, Stephen, David T., Raussendorf, Robert
We present the first examples of topological phases of matter with uniform power for measurement-based quantum computation. This is possible thanks to a new framework for analyzing the computational properties of phases of matter that is more general
Externí odkaz:
http://arxiv.org/abs/2410.02716
Domain walls are a type of topological defects that can arise in the early universe after the spontaneous breaking of a discrete symmetry. This occurs in several beyond Standard Model theories with an extended Higgs sector such as the Next-to-Two-Hig
Externí odkaz:
http://arxiv.org/abs/2410.01889
Autor:
Svihra, Peter, Bates, Richard, Braach, Justus, Buschmann, Eric, Dannheim, Dominik, Maneuski, Dima, Otarid, Younes
This contribution reports on characterisation results of a large-area (2$~\mathrm{cm}^2$) small pitch (55$~\mu$m) inverse Low-Gain Avalanche Detector (iLGAD), bonded to a Timepix3 readout chip. The ilGAD sensors were produced by Micron Semiconductor
Externí odkaz:
http://arxiv.org/abs/2409.20194
Autor:
Espinoza, Cristóbal M., Kuiper, Lucien, Ho, Wynn C. G., Antonopoulou, Danai, Arzoumanian, Zaven, Harding, Alice K., Ray, Paul S., Younes, George
The way pulsars spin down is not understood in detail, but a number of possible physical mechanisms produce a spin-down rate that scales as a power of the rotation rate ($\dot\nu\propto-\nu^n$), with the power-law index $n$ called the braking index.
Externí odkaz:
http://arxiv.org/abs/2409.10759
Autor:
Shen, Sheng, Younes, Rabih
This paper introduces Kolmogorov-Arnold Networks (KAN) as an enhancement to the traditional linear probing method in transfer learning. Linear probing, often applied to the final layer of pre-trained models, is limited by its inability to model compl
Externí odkaz:
http://arxiv.org/abs/2409.07763