Zobrazeno 1 - 10
of 2 914
pro vyhledávání: '"A Hammou"'
Autor:
Hammou, Elie, Ubiali, Maria
Recent studies suggest that global fits of Parton Distribution Functions (PDFs) might inadvertently 'fit away' signs of new physics in the high-energy tails of the distributions measured at the high luminosity programme of the LHC (HL-LHC). This coul
Externí odkaz:
http://arxiv.org/abs/2410.00963
Autor:
Chouikhi, Hasna, Aloui, Manel, Hammou, Cyrine Ben, Chaabane, Ghaith, Kchaou, Haithem, Dhaouadi, Chehir
Large language models (LLMs) have greatly impacted the natural language processing (NLP) field, particularly for the English language. These models have demonstrated capabilities in understanding and generating human-like text. The success of languag
Externí odkaz:
http://arxiv.org/abs/2407.02147
Autor:
Hammou, Elie
The interpretation of LHC data, and the assessment of possible hints of new physics, require the precise knowledge of the proton structure in terms of parton distribution functions (PDFs). I present a methodology designed to determine whether and how
Externí odkaz:
http://arxiv.org/abs/2405.09270
Autor:
Costantini, Mark N., Hammou, Elie, Kassabov, Zahari, Madigan, Maeve, Mantani, Luca, Alvarado, Manuel Morales, Moore, James M., Ubiali, Maria
We present the open-source SIMUnet code, designed to fit Standard Model Effective Field Theory (SMEFT) Wilson coefficient alongside Parton Distribution Functions (PDFs) of the proton. SIMUnet can perform SMEFT global fits, as well as simultaneous fit
Externí odkaz:
http://arxiv.org/abs/2402.03308
Autor:
Hammou, Elie
The analysis and the interpretation of the LHC data require a precise determination of Parton Distribution Functions (PDFs) in order to detect reliably potential signs of new physics. I present a systematic study designed to assess the risk of absorb
Externí odkaz:
http://arxiv.org/abs/2310.09332
Autor:
Hammou, Elie, Kassabov, Zahari, Madigan, Maeve, Mangano, Michelangelo L., Mantani, Luca, Moore, James, Alvarado, Manuel Morales, Ubiali, Maria
The interpretation of LHC data, and the assessment of possible hints of new physics, require the precise knowledge of the proton structure in terms of parton distribution functions (PDFs). We present a systematic methodology designed to determine whe
Externí odkaz:
http://arxiv.org/abs/2307.10370
High-Dynamic-Range Visual-Difference-Predictor version 3, or HDR-VDP-3, is a visual metric that can fulfill several tasks, such as full-reference image/video quality assessment, prediction of visual differences between a pair of images, or prediction
Externí odkaz:
http://arxiv.org/abs/2304.13625
Autor:
Benmatouk, Hammou1 benmatouk-hamou@univ-eltarf.dz, Djabourabi, Aicha2, Nawel, Djebari2, Boutheina, Smida1, Kouachi, Nouha3, Bouallag, Chahinaise2,3
Publikováno v:
Egyptian Journal of Aquatic Biology & Fisheries. Sep/Oct2024, Vol. 28 Issue 5, p189-217. 29p.
Autor:
Hammou, Aoumeur Daddi, Bartolo, Nicola
We study the effect of quantum decoherence on the inflationary cosmological perturbations. This process might imprint specific observational signatures revealing the quantum nature of the inflationary mechanism being related to the longstanding issue
Externí odkaz:
http://arxiv.org/abs/2211.07598
We introduce Probabilistic Rank and Reward (PRR), a scalable probabilistic model for personalized slate recommendation. Our approach allows off-policy estimation of the reward in the scenario where the user interacts with at most one item from a slat
Externí odkaz:
http://arxiv.org/abs/2208.06263