Zobrazeno 1 - 10
of 3 287
pro vyhledávání: '"Sabot, A"'
Autor:
Krämer-Flecken, A., Proll, J. H. E., Weir, G., Costello, P., Fuchert, G., Geiger, J., Heuraux, S., Knieps, A., Langenberg, A., Mendes, S. Vaz, Pablant, N., Pasch, E., Rahbarnia, K., Sabot, R., Salazar, L., Smith, H. M., Thomsen, H., Windisch, T., Xiang, H. M., W7-X-team, the
In the past, quasi coherent modes were reported for nearly all tokamaks. The general definition describes modes as quasi coherent when the magnitude squared coherence is in the range of \SIrange{0.3}{0.6}{}. Quasi coherent modes are observed in the p
Externí odkaz:
http://arxiv.org/abs/2408.12900
In this paper we study the recurrence and transience of the $\mathbb{Z}^d$-valued branching random walk in random environment indexed by a critical Bienaym\'e-Galton-Watson tree, conditioned to survive. The environment is made either of random conduc
Externí odkaz:
http://arxiv.org/abs/2406.17622
Autor:
Sabot, Christophe, Tarrès, Pierre
In this paper we continue the analysis, initiated in the paper *-VRJP I, of the *-Vertex Reinforced Jump Process (*-VRJP), which is a non reversible generalization of the Vertex Reinforced Jump Process (VRJP). More precisely, we give a representation
Externí odkaz:
http://arxiv.org/abs/2401.02782
With the transition towards a smart grid, Information and Communications Technology (ICT) infrastructures play a growing role in the operation of transmission systems. Cyber-physical systems are usually studied using co-simulation. The latter allows
Externí odkaz:
http://arxiv.org/abs/2311.14467
Autor:
Rapenne, V, Sabot, C
In this paper, we focus on the scaling-limit of the random potential $\beta$ associated with the Vertex Reinforced Jump Process (VRJP) on one-dimensional graphs. Moreover, we give a few applications of this scaling-limit. By considering a relevant sc
Externí odkaz:
http://arxiv.org/abs/2308.01120
We propose Rosko -- row skipping outer products -- for deriving sparse matrix multiplication (SpMM) kernels in reducing computation and memory access requirements of deep neural networks (DNNs). Rosko allows skipping of entire row computations during
Externí odkaz:
http://arxiv.org/abs/2307.03930
This paper presents a multidimensional extension of the Matsumoto-Yor properties related to exponential functionals of drifted Brownian motion. The extension involves the interaction of geometric Brownian motions which are indexed by the vertices of
Externí odkaz:
http://arxiv.org/abs/2306.02158
We present the MEMA framework for the easy and quick derivation of efficient inference runtimes that minimize external memory accesses for matrix multiplication on TinyML systems. The framework accounts for hardware resource constraints and problem s
Externí odkaz:
http://arxiv.org/abs/2304.05544
Autor:
Mengyuan Mu, Manon E.B. Sabot, Anna M. Ukkola, Sami W. Rifai, Martin G. De Kauwe, Sanaa Hobeichi, Andy J. Pitman
Publikováno v:
Weather and Climate Extremes, Vol 45, Iss , Pp 100703- (2024)
The Tinderbox Drought (2017–2019) was one of the most severe droughts recorded in Australia. The extreme summer air temperatures (>40 °C) combined with drought, contributed to the unprecedented Black Summer bushfires in 2019–20 over southeast Au
Externí odkaz:
https://doaj.org/article/d80f0b0188fd4f2b9c9b6d288f5f717f
Autor:
Benoit Sabot, Chavdar Dutsov, Philippe Cassette, Krasimir Mitev, Matthieu Hamel, Guillaume H. V. Bertrand, Kheirreddine Lebbou, Christophe Dujardin
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-19 (2024)
Abstract This work presents an outline of a detection system that employs the Compton spectrometer method to assess the non-linearity of scintillator light yield. A novel approach is introduced, leading to more accurate measurements through the separ
Externí odkaz:
https://doaj.org/article/f80e20e8478e4bafa1496d29778c3cdd