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pro vyhledávání: '"Yger P"'
Superoscillations have roots in various scientific disciplines, including optics, signal processing, radar theory, and quantum mechanics. This intriguing mathematical phenomenon permits specific functions to oscillate at a rate surpassing their highe
Externí odkaz:
http://arxiv.org/abs/2403.06169
Publikováno v:
Neurocomputing, 2023, 555, pp.126634
The impact of outliers and anomalies on model estimation and data processing is of paramount importance, as evidenced by the extensive body of research spanning various fields over several decades: thousands of research papers have been published on
Externí odkaz:
http://arxiv.org/abs/2312.07101
The notion of supershift generalizes that one of superoscillation and expresses the fact that the sampling of a function in an interval allows to compute the values of the function outside the interval. In a previous paper we discussed the case in wh
Externí odkaz:
http://arxiv.org/abs/2312.05089
The notion of supershift (in itself a generalization of the notion of superoscillation arising in quantum mechanics) expresses the fact that the sampling of a function in an interval allows to compute the values of the function far from the interval.
Externí odkaz:
http://arxiv.org/abs/2310.11528
In recent years, Transformer-based auto-attention mechanisms have been successfully applied to the analysis of a variety of context-reliant data types, from texts to images and beyond, including data from non-Euclidean geometries. In this paper, we p
Externí odkaz:
http://arxiv.org/abs/2309.07579
Publikováno v:
30th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2022), Oct 2022, Bruges, Belgium
This paper presents an introduction to the state-of-the-art in anomaly and change-point detection. On the one hand, the main concepts needed to understand the vast scientific literature on those subjects are introduced. On the other, a selection of i
Externí odkaz:
http://arxiv.org/abs/2212.13520
Autor:
Salomé Leclercq, Sébastien Szaffarczyk, Pantelis Leptourgos, Pierre Yger, Alexandra Fakhri, Marielle Wathelet, Vincent Bouttier, Sophie Denève, Renaud Jardri
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract Sociopolitical crises causing uncertainty have accumulated in recent years, providing fertile ground for the emergence of conspiracy ideations. Computational models constitute valuable tools for understanding the mechanisms at play in the fo
Externí odkaz:
https://doaj.org/article/975339f0bc0341aab4d5aa308abc0079
CNNs are often assumed to be capable of using contextual information about distinct objects (such as their directional relations) inside their receptive field. However, the nature and limits of this capacity has never been explored in full. We explor
Externí odkaz:
http://arxiv.org/abs/2207.02574
Epistemic voting interprets votes as noisy signals about a ground truth. We consider contexts where the truth consists of a set of objective winners, knowing a lower and upper bound on its cardinality. A prototypical problem for this setting is the a
Externí odkaz:
http://arxiv.org/abs/2201.06655
In causality, estimating the effect of a treatment without confounding inference remains a major issue because requires to assess the outcome in both case with and without treatment. Not being able to observe simultaneously both of them, the estimati
Externí odkaz:
http://arxiv.org/abs/2112.04288