Zobrazeno 1 - 10
of 254 070
pro vyhledávání: '"A. MATHIEU"'
Publikováno v:
European Journal of Mineralogy, Vol 35, Pp 321-331 (2023)
In this paper, we present a new design for a 1 atm gas-mixing furnace using the gas mixture CO–CO2–SO2. This furnace can simulate disequilibrium processes such as magmatic and volcanic degassing. Here, we present the technical aspects of the desi
Externí odkaz:
https://doaj.org/article/f9057fdbad034152be3c07fd7b619cb7
Autor:
Mathieu, Johanna L., Verbič, Gregor, Morstyn, Thomas, Almassalkhi, Mads, Baker, Kyri, Braslavsky, Julio, Bruninx, Kenneth, Dvorkin, Yury, Ledva, Gregory S., Mahdavi, Nariman, Pandžić, Hrvoje, Parisio, Alessandra, Perić, Vedran
Demand response is a concept that has been around since the very first electric power systems. However, we have seen an explosion of research on demand response and demand-side technologies in the past 30 years, coinciding with the shift towards libe
Externí odkaz:
http://arxiv.org/abs/2410.18768
Publikováno v:
The Astronomical Journal, 168(5), 205 (2024)
NGC 2506 is a rich, intermediate-age (2.0 Gyr), metal-poor ([Fe/H] $\sim$ -0.2) open cluster. This work presents the results of 12,157 spectroscopic radial-velocity measurements of 2,442 stars in the NGC 2506 field over 41 years, made as part of the
Externí odkaz:
http://arxiv.org/abs/2410.18189
Autor:
Lee, Junwon, Tailleur, Modan, Heller, Laurie M., Choi, Keunwoo, Lagrange, Mathieu, McFee, Brian, Imoto, Keisuke, Okamoto, Yuki
Despite significant advancements in neural text-to-audio generation, challenges persist in controllability and evaluation. This paper addresses these issues through the Sound Scene Synthesis challenge held as part of the Detection and Classification
Externí odkaz:
http://arxiv.org/abs/2410.17589
Autor:
Shysheya, Aliaksandra, Diaconu, Cristiana, Bergamin, Federico, Perdikaris, Paris, Hernández-Lobato, José Miguel, Turner, Richard E., Mathieu, Emile
Modelling partial differential equations (PDEs) is of crucial importance in science and engineering, and it includes tasks ranging from forecasting to inverse problems, such as data assimilation. However, most previous numerical and machine learning
Externí odkaz:
http://arxiv.org/abs/2410.16415
Autor:
Zmigrod, Ran, Shetty, Pranav, Sibue, Mathieu, Ma, Zhiqiang, Nourbakhsh, Armineh, Liu, Xiaomo, Veloso, Manuela
The rise of large language models (LLMs) for visually rich document understanding (VRDU) has kindled a need for prompt-response, document-based datasets. As annotating new datasets from scratch is labor-intensive, the existing literature has generate
Externí odkaz:
http://arxiv.org/abs/2410.15484
Artificial Neural Networks (ANNs), including fully-connected networks and transformers, are highly flexible and powerful function approximators, widely applied in fields like computer vision and natural language processing. However, their inability t
Externí odkaz:
http://arxiv.org/abs/2410.14485
Autor:
Dedenon, Mathieu, Kruse, Karsten
Tissues of living cells are a prime example of active fluids. There is experimental evidence that tissues generate extensile active stress even though their constituting cells are contractile. Fluctuating forces that could result from cell-substrate
Externí odkaz:
http://arxiv.org/abs/2410.14358
Reconstruction functions are pivotal in sample compression theory, a framework for deriving tight generalization bounds. From a small sample of the training set (the compression set) and an optional stream of information (the message), they recover a
Externí odkaz:
http://arxiv.org/abs/2410.13577
The problem of classifying graphs is ubiquitous in machine learning. While it is standard to apply graph neural networks for such tasks, Gaussian processes can also be used, by transforming graph features into the spectral domain, and using the resul
Externí odkaz:
http://arxiv.org/abs/2410.10546