Zobrazeno 1 - 10
of 4 338
pro vyhledávání: '"Dupraz"'
Autor:
Dupraz, Marlène, Leroy, Chloé, Thórarinsson, Thorkell Lindberg, d’Ettorre, Patrizia, McCoy, Karen D.
Publikováno v:
Peer Community Journal, Vol 2, Iss , Pp - (2022)
The hydrophobic layer of the arthropod cuticle acts to maintain water balance, but can also serve to transmit chemical signals via cuticular hydrocarbons (CHC), essential mediators of arthropod behavior. CHC signatures typically vary qualitatively am
Externí odkaz:
https://doaj.org/article/bcddf1275bf8457c843fb93901a7d106
We explore the problem of distributed Hypothesis Testing (DHT) against independence, focusing specifically on Binary Symmetric Sources (BSS). Our investigation aims to characterize the optimal quantizer among binary linear codes, with the objective o
Externí odkaz:
http://arxiv.org/abs/2410.15839
Publikováno v:
International Zurich Seminar on Information and Communication (IZS), Mar 2024, Zurich, Switzerland
In the context of goal-oriented communications, this paper addresses the achievable rate versus generalization error region of a learning task applied on compressed data. The study focuses on the distributed setup where a source is compressed and tra
Externí odkaz:
http://arxiv.org/abs/2407.06591
This paper investigates practical coding schemes for Distributed Hypothesis Testing (DHT). While the literature has extensively analyzed the information-theoretic performance of DHT and established bounds on Type-II error exponents through quantize a
Externí odkaz:
http://arxiv.org/abs/2405.07697
The design of communication systems dedicated to machine learning tasks is one key aspect of goal-oriented communications. In this framework, this article investigates the interplay between data reconstruction and learning from the same compressed ob
Externí odkaz:
http://arxiv.org/abs/2404.18688
Autor:
Aliouat, Ahcen, Dupraz, Elsa
In goal-oriented communications, the objective of the receiver is often to apply a Deep-Learning model, rather than reconstructing the original data. In this context, direct learning over compressed data, without any prior decoding, holds promise for
Externí odkaz:
http://arxiv.org/abs/2403.10202
Autor:
Dupraz Christian, Geisseler Bettina
Publikováno v:
E3S Web of Conferences, Vol 346, p 03017 (2022)
Climate change has, in recent years, dramatically shown the importance and impact of the resource water: extreme situations such as floods respectively scarcity become more and more frequent. Multipurpose reservoirs can help to mitigate the negative
Externí odkaz:
https://doaj.org/article/c1b3778222a049f6a02f144a255ed116