Zobrazeno 1 - 10
of 7 973
pro vyhledávání: '"Carrel, A."'
Autor:
Carrel, Benjamin
This paper introduces new dynamical low-rank (DLR) methods for solving large-scale matrix differential equations, motivated by algorithms from randomised numerical linear algebra. The new methods consist essentially of two steps: a range estimation s
Externí odkaz:
http://arxiv.org/abs/2410.17091
Autor:
Mathur, Nitish, Cheng, Guangming, Ballester, Francesc, Carrel, Gabrielle, Plisson, Vincent M., Yuan, Fang, Zheng, Jiangchang, Chen, Caiyun, Lee, Scott B., Singha, Ratnadwip, Chatterjee, Sudipta, Burch, Kenneth S., Jäck, Berthold, Errea, Ion, Vergniory, Maia G., Yao, Nan, Schoop, Leslie M.
A single material can exist in different states, with solids, liquids, and gases being the most familiar examples. In materials, these states can exhibit periodic structures spanning from atomic to macroscopic length scales. The conventional wisdom i
Externí odkaz:
http://arxiv.org/abs/2409.19783
Autor:
Carrel, Adrien
Neural Laplace is a unified framework for learning diverse classes of differential equations (DE). For different classes of DE, this framework outperforms other approaches relying on neural networks that aim to learn classes of ordinary differential
Externí odkaz:
http://arxiv.org/abs/2406.04964
Autor:
Carrel, Adrien
Graph structures offer a versatile framework for representing diverse patterns in nature and complex systems, applicable across domains like molecular chemistry, social networks, and transportation systems. While diffusion models have excelled in gen
Externí odkaz:
http://arxiv.org/abs/2406.04916
Autor:
Carrel, Benjamin, Vandereycken, Bart
The numerical integration of stiff equations is a challenging problem that needs to be approached by specialized numerical methods. Exponential integrators form a popular class of such methods since they are provably robust to stiffness and have been
Externí odkaz:
http://arxiv.org/abs/2312.00172
Autor:
Liebovitch, Larry S., Powers, William, Shi, Lin, Chen-Carrel, Allegra, Loustaunau, Philippe, Coleman, Peter T.
Publikováno v:
PLoS ONE 18(11): e0292604
Language is both a cause and a consequence of the social processes that lead to conflict or peace. Hate speech can mobilize violence and destruction. What are the characteristics of peace speech that reflect and support the social processes that main
Externí odkaz:
http://arxiv.org/abs/2305.12537
Autor:
Saleh Mahamat, Raspail Carrel Founou, Luria Leslie Founou, Thibau Flaurant Tchouangueu, Brice Davy Dimani, Omer Aurelle Nkengkana, Lethicia Danaëlle Mafo, David Chelo, Marie Christine Fonkoua, Yap Boum-II, Hortense Gonsu, Michel Noubom, Paul Olivier Koki Ndombo, Donatien Gatsing
Publikováno v:
BMC Microbiology, Vol 24, Iss 1, Pp 1-10 (2024)
Abstract Introduction Extended-spectrum β-lactamase (ESBL)-producing pathogenic E. coli is a global public health issue, especially in sub-Saharan African countries such as Cameroon. It contributes to increase significantly hospital length of stay,
Externí odkaz:
https://doaj.org/article/f4fdabed16a44003ba1f885a7a91bb99
Autor:
Moise Matakone, Raspail Carrel Founou, Luria Leslie Founou, Brice Davy Dimani, Patrice Landry Koudoum, Marie Christine Fonkoua, Yap Boum-II, Hortense Gonsu, Michel Noubom
Publikováno v:
One Health, Vol 19, Iss , Pp 100885- (2024)
Antimicrobial resistance (AMR) in the food chain remains a global public health concern for both humans and animals. This study aimed to determine the prevalence, resistance profiles, and clonal relatedness of multidrug-resistant (MDR) and extended-s
Externí odkaz:
https://doaj.org/article/c2ca793a23be426b938b89d684471c21
Publikováno v:
BMC Infectious Diseases, Vol 24, Iss 1, Pp 1-13 (2024)
Abstract Background Vancomycin-resistant enterococci (VRE) are important pathogens categorized as high-priority bacteria in the Global Priority List of Antibiotic-Resistant Bacteria to Guide Research, Discovery, and Development of New Antibiotics pub
Externí odkaz:
https://doaj.org/article/287a6490dfec46ffb926487bfc582e9e
Autor:
Daniel McGuire, Havell Markus, Lina Yang, Jingyu Xu, Austin Montgomery, Arthur Berg, Qunhua Li, Laura Carrel, Dajiang J. Liu, Bibo Jiang
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-14 (2024)
Abstract Large national-level electronic health record (EHR) datasets offer new opportunities for disentangling the role of genes and environment through deep phenotype information and approximate pedigree structures. Here we use the approximate geog
Externí odkaz:
https://doaj.org/article/5f8ed87bcbd74723b6497aa8eb0545e4