Zobrazeno 1 - 10
of 1 709
pro vyhledávání: '"DIAZ, DANIEL"'
Autor:
Brigljevic, Vuko, Ferencek, Dinko, Landsberg, Greg, Robens, Tania, Stamenkovic, Marko, Susa, Tatjana, Abouabid, Hamza, Arhrib, Abdesslam, Arnold, Hannah, Azevedo, Duarte, Diaz, Daniel, Duarte, Javier, Pree, Tristan du, Falaki, Jaouad El, Ferreira, Pedro. M., Fuks, Benjamin, Ganguly, Sanmay, Kolosova, Marina, Konigsberg, Jacobo, Liu, Bingxuan, Moser, Brian, Muehlleitner, Margarete, Papaefstathiou, Andreas, Pasechnik, Roman, Santos, Rui, Sheldon, Brian, Soyez, Gregory, Stylianou, Panagiotis, Tetlalmatzi-Xolocotzi, Gilberto, Weiglein, Georg, Zanderighi, Giulia, Zhang, Rui
Publikováno v:
Eur. Phys. J. C 84, 1183 (2024)
We here report on the progress of the HHH Workshop, that took place in Dubrovnik in July 2023. After the discovery of a particle that complies with the properties of the Higgs boson of the Standard Model, all SM parameters are in principle determined
Externí odkaz:
http://arxiv.org/abs/2407.03015
Autor:
Baldi, Tommaso, Campos, Javier, Hawks, Ben, Ngadiuba, Jennifer, Tran, Nhan, Diaz, Daniel, Duarte, Javier, Kastner, Ryan, Meza, Andres, Quinnan, Melissa, Weng, Olivia, Geniesse, Caleb, Gholami, Amir, Mahoney, Michael W., Loncar, Vladimir, Harris, Philip, Agar, Joshua, Qin, Shuyu
Extreme data rate scientific experiments create massive amounts of data that require efficient ML edge processing. This leads to unique validation challenges for VLSI implementations of ML algorithms: enabling bit-accurate functional simulations for
Externí odkaz:
http://arxiv.org/abs/2406.19522
Autor:
Vargas-Diaz, Daniel, Kim, Jisun, Karunaratna, Sulakna, Reinhardt, Maegan, Hornburg, Caroline, Choi, Koeun, Lee, Sang Won
Joint reading is a key activity for early learners, with caregiver-child interactions such as questioning and feedback playing an essential role in children's cognitive and linguistic development. However, for some parents, actively engaging children
Externí odkaz:
http://arxiv.org/abs/2405.13968
The experimentally-observed non-trivial electronic structure of the Cr$_2$ dimer has made the calculation of its potential energy curve a theoretical challenge in the last decades. By matching the perturbation theory at small internuclear distances $
Externí odkaz:
http://arxiv.org/abs/2401.03259
Autor:
Igartua, Mónica Aguilar, Almenares, Florina, Redondo, Rebeca P. Díaz, Martín, Manuela I., Forné, Jordi, Campo, Celeste, Fernández, Ana, de la Cruz, Luis J., García-Rubio, Carlos, Marínn, Andrés, Mezher, Ahmad Mohamad, Díaz, Daniel, Cerezo, Héctor, Rebollo-Monedero, David, Arias, Patricia, Rico, Francisco
Publikováno v:
EEE Access, vol. 8, 2020
Major advances in information and communication technologies (ICTs) make citizens to be considered as sensors in motion. Carrying their mobile devices, moving in their connected vehicles or actively participating in social networks, citizens provide
Externí odkaz:
http://arxiv.org/abs/2312.07787
Stabilizing proteins is a foundational step in protein engineering. However, the evolutionary pressure of all extant proteins makes identifying the scarce number of mutations that will improve thermodynamic stability challenging. Deep learning has re
Externí odkaz:
http://arxiv.org/abs/2310.12979
Publikováno v:
18th IEEE International Requirements Engineering Conference (RE), 2010, Sep 2010, Sydney, Australia. pp.243-251
Product Lines (PL) have proved an effective approach to reuse-based systems development. Several modeling languages were proposed so far to specify PL. Although they can be very different, these languages show two common features: they emphasize (a)
Externí odkaz:
http://arxiv.org/abs/2309.16279
Publikováno v:
Software Engineering Conference, 2007. APSEC 2007. 14th Asia-Pacific, Dec 2007, Nagoya, Japan. pp.494 - 501
Product lines (PL) modeling have proven to be an effective approach to reuse in software development.Several variability approaches were developed to plan requirements reuse, but only little of them actuallyaddress the issue of deriving product requi
Externí odkaz:
http://arxiv.org/abs/2309.13974
Autor:
Arganda, Ernesto, Díaz, Daniel A., Perez, Andres D., Seoane, Rosa M. Sandá, Szynkman, Alejandro
We study the impact of machine-learning algorithms on LHC searches for leptoquarks in final states with hadronically decaying tau leptons, multiple $b$-jets, and large missing transverse momentum. Pair production of scalar leptoquarks with decays onl
Externí odkaz:
http://arxiv.org/abs/2309.05407
We present Project Florida, a system architecture and software development kit (SDK) enabling deployment of large-scale Federated Learning (FL) solutions across a heterogeneous device ecosystem. Federated learning is an approach to machine learning b
Externí odkaz:
http://arxiv.org/abs/2307.11899