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pro vyhledávání: '"Barthélémy, P."'
The field of textual adversarial defenses has gained considerable attention in recent years due to the increasing vulnerability of natural language processing (NLP) models to adversarial attacks, which exploit subtle perturbations in input text to de
Externí odkaz:
http://arxiv.org/abs/2412.07078
Autor:
Chowdhury, Rup Kumar, Islam, Md Samiul, Barthelemy, Marie, Beyer, Nicolas, Engel, Lorry, Pelle, Jean-Sebastien, Rastei, Mircea, Barsella, Alberto, Fras, Francois
The discovery of in-plane anisotropic excitons in two-dimensional layered semiconductors enables state-of-the-art nanophotonic applications. A fundamental yet unknown parameter of these quasiparticles is the coherence time (T_2 ), which governs the q
Externí odkaz:
http://arxiv.org/abs/2411.13695
This paper aims to study the functional renormalization group for quantum $(2+p)$-spin dynamics of a $N$-vector $\textbf{x}\in \mathbb{R}^N$. By fixing the gauge symmetry in the construction of the FRG, that breaks the $O(N)$-symmetry and deriving th
Externí odkaz:
http://arxiv.org/abs/2411.11089
Autor:
Barthelemy, Marc
Publikováno v:
npj Sustainable Mobility and Transport volume 1, Article number:11 (2024)
Mobility is a complex phenomenon encompassing diverse transportation modes, infrastructure elements, and human behaviors. Tackling the persistent challenges of congestion, pollution, and accessibility requires a range of modeling approaches to optimi
Externí odkaz:
http://arxiv.org/abs/2411.04484
Current large open vision models could be useful for one and few-shot object recognition. Nevertheless, gradient-based re-training solutions are costly. On the other hand, open-vocabulary object detection models bring closer visual and textual concep
Externí odkaz:
http://arxiv.org/abs/2410.16028
Autor:
Barthelemy, Marc
We introduce a novel metric to quantify the fragility of chess positions using the interaction graph of pieces. This fragility score $F$ captures the tension within a position and serves as a strong indicator of tipping points in a game. In well-know
Externí odkaz:
http://arxiv.org/abs/2410.02333
Recent studies have showcased remarkable capabilities of decoder-only models in many NLP tasks, including translation. Yet, the machine translation field has been largely dominated by encoder-decoder models based on the Transformer architecture. As a
Externí odkaz:
http://arxiv.org/abs/2409.15051
Autor:
Barthelemy, Marc, Boeing, Geoff
Publikováno v:
Findings. 2024 Aug 13
We review measures of street network structure proposed in the recent literature, establish their relevance to practice, and identify open challenges facing researchers. These measures' empirical values vary substantially across world regions and dev
Externí odkaz:
http://arxiv.org/abs/2409.08016
Autor:
Gravier, Julie, Barthelemy, Marc
Publikováno v:
Nature Cities, Volume 1 September 2024, 567-575
Contemporary literature on the dynamics of economic activities in growing cities mainly focused on a few years or decades time frames. Using a new geo-historical database constructed from historical directories with about 1 million entries, we presen
Externí odkaz:
http://arxiv.org/abs/2409.03263
Current artificial neural networks are trained with parameters encoded as floating point numbers that occupy lots of memory space at inference time. Due to the increase in the size of deep learning models, it is becoming very difficult to consider tr
Externí odkaz:
http://arxiv.org/abs/2408.04460