Zobrazeno 1 - 10
of 1 969
pro vyhledávání: '"A. Rammal"'
In this paper, we study the ability of large language models to learn specific mathematical rules such as distributivity or simplifying equations. We present an empirical analysis of their ability to generalize these rules, as well as to reuse them i
Externí odkaz:
http://arxiv.org/abs/2410.16973
Data valuation seeks to answer the important question, "How much is this data worth?" Existing data valuation methods have largely focused on discriminative models, primarily examining data value through the lens of its utility in training. However,
Externí odkaz:
http://arxiv.org/abs/2409.00284
Autor:
A. Goujon, N. Schoentgen, R. Betari, M. Thoulouzan, V. Vanalderwerelt, S. Oumakhlouf, N. Brichart, B. Pradere, M. Roumiguie, A. Rammal, K. Bensalah, G. Fournier, F. Bruyere, P. Grise, V. Joulin, A. Manunta, F. Saint, E. Huyghe, F. Nouhaud, B. Peyronnet
Publikováno v:
European Urology Open Science, Vol 19, Iss , Pp e925- (2020)
Externí odkaz:
https://doaj.org/article/0369c2c823504416a0331ada0c678a40
Quantization (Alistarh et al., 2017) is an important (stochastic) compression technique that reduces the volume of transmitted bits during each communication round in distributed model training. Suresh et al. (2022) introduce correlated quantizers an
Externí odkaz:
http://arxiv.org/abs/2401.05518
We carefully revisit the electron-boson scattering problem, going beyond popular semi-classical treatments. By providing numerically exact results valid at finite temperatures, we demonstrate the existence of a regime of electron-boson scattering whe
Externí odkaz:
http://arxiv.org/abs/2312.03840
Communication Compression for Byzantine Robust Learning: New Efficient Algorithms and Improved Rates
Byzantine robustness is an essential feature of algorithms for certain distributed optimization problems, typically encountered in collaborative/federated learning. These problems are usually huge-scale, implying that communication compression is als
Externí odkaz:
http://arxiv.org/abs/2310.09804
Autor:
Joseph Miller, Daniel Grahf, Hashem Nassereddine, Jimmy Nehme, Jo-Ann Rammal, Jacob Ross, Kaitlin Rose, Daniel Hrabec, Sam Tirgari, Christopher Lewandowski
Publikováno v:
Western Journal of Emergency Medicine, Vol 25, Iss 5, Pp 675-679 (2024)
Background: Growing data indicates that thiamine deficiency occurs during acute illness in the absence of alcohol use disorder. Our primary objective was to measure clinical factors associated with thiamine deficiency in patients with sepsis, diabeti
Externí odkaz:
https://doaj.org/article/530f41d7d9cc4a2d89dc57efee5c61b8
Autor:
Souraya Rammal, Farid Abou Abdallah, Charbel Attieh, Zeinab El Mounajjed, Warde Semaan, Alain Chebly
Publikováno v:
Frontiers in Oncology, Vol 14 (2024)
Conventional cytogenetic analysis is an important tool for the diagnosis of many hematologic disorders (HD). A karyotype is designed as « complex » when several alterations are detected. However, there is no clear consensus on the exact definition
Externí odkaz:
https://doaj.org/article/465b0087a4af4c939c11e1b7ce83f13b
We study the inverse eigenvalue problem for finding doubly stochastic matrices with specified eigenvalues. By making use of a combination of Dykstra's algorithm and an alternating projection process onto a non-convex set, we derive hybrid algorithms
Externí odkaz:
http://arxiv.org/abs/2208.11610
Publikováno v:
IFAC Journal of Systems and Control, Volume 21, September 2022, 100197
Fault detection and isolation on hydraulic systems are very important to ensure safety and avoid disasters. In this paper, a fault detection and isolation method, based on the flatness property of nonlinear systems, is experimentally applied on the t
Externí odkaz:
http://arxiv.org/abs/2207.13803