Zobrazeno 1 - 10
of 1 251
pro vyhledávání: '"Boulle, P."'
Liquid composites moulding is an important manufacturing technology for fibre reinforced composites, due to its cost-effectiveness. Challenges lie in the optimisation of the process due to the lack of understanding of key characteristic of textile fa
Externí odkaz:
http://arxiv.org/abs/2412.00579
Large language models (LLMs) demonstrate remarkable emergent abilities to perform in-context learning across various tasks, including time series forecasting. This work investigates LLMs' ability to estimate probability density functions (PDFs) from
Externí odkaz:
http://arxiv.org/abs/2410.05218
Autor:
Zekri, Oussama, Odonnat, Ambroise, Benechehab, Abdelhakim, Bleistein, Linus, Boullé, Nicolas, Redko, Ievgen
Large language models (LLMs) have proven to be remarkably efficient, both across a wide range of natural language processing tasks and well beyond them. However, a comprehensive theoretical analysis of the origins of their impressive performance rema
Externí odkaz:
http://arxiv.org/abs/2410.02724
Large Language Models achieve next-token prediction by transporting a vectorized piece of text (prompt) across an accompanying embedding space under the action of successive transformer layers. The resulting high-dimensional trajectories realize diff
Externí odkaz:
http://arxiv.org/abs/2410.01545
Autor:
Bouziani, Nacime, Boullé, Nicolas
Learning complex dynamics driven by partial differential equations directly from data holds great promise for fast and accurate simulations of complex physical systems. In most cases, this problem can be formulated as an operator learning task, where
Externí odkaz:
http://arxiv.org/abs/2410.01065
Autor:
Hue, Carine, Boullé, Marc
We study supervised classification for datasets with a very large number of input variables. The na\"ive Bayes classifier is attractive for its simplicity, scalability and effectiveness in many real data applications. When the strong na\"ive Bayes as
Externí odkaz:
http://arxiv.org/abs/2409.11100
Autor:
Sirjita, Eduard-Nicolae, Boulle, Alexandre, Orlianges, Jean-Christophe, Mayet, Richard, Debelle, Aurélien, Thomé, Lionel, Colas, Maggy, Cornette, Julie, Crunteanu, Aurelian
THz amplitude modulators and switches are considered to be the main building blocks of future THz communication systems. Despite rapid progress, modulation and switching devices in this electromagnetic spectrum lag far behind other frequency ranges.
Externí odkaz:
http://arxiv.org/abs/2407.18080
Autor:
Boullé, Nicolas, Colbrook, Matthew J.
Koopman operators are infinite-dimensional operators that linearize nonlinear dynamical systems, facilitating the study of their spectral properties and enabling the prediction of the time evolution of observable quantities. Recent methods have aimed
Externí odkaz:
http://arxiv.org/abs/2405.05334
Autor:
Pham, Van Tuong, Sisodia, Naveen, Di Manici, Ilaria, Urrestarazu-Larrañaga, Joseba, Bairagi, Kaushik, Pelloux-Prayer, Johan, Guedas, Rodrigo, Buda-Prejbeanu, Liliana, Auffret, Stéphane, Locatelli, Andrea, Menteş, Tevfik Onur, Pizzini, Stefania, Kumar, Pawan, Finco, Aurore, Jacques, Vincent, Gaudin, Gilles, Boulle, Olivier
Publikováno v:
Science, 384, 6693 (2024)
Magnetic skyrmions are topological magnetic textures that hold great promise as nanoscale bits of information in memory and logic devices. Although room-temperature ferromagnetic skyrmions and their current-induced manipulation have been demonstrated
Externí odkaz:
http://arxiv.org/abs/2404.13017
The randomized singular value decomposition (SVD) has become a popular approach to computing cheap, yet accurate, low-rank approximations to matrices due to its efficiency and strong theoretical guarantees. Recent work by Boull\'e and Townsend (FoCM,
Externí odkaz:
http://arxiv.org/abs/2404.00960