Zobrazeno 1 - 10
of 29 428
pro vyhledávání: '"Fournier, P"'
Fully connected Graph Transformers (GT) have rapidly become prominent in the static graph community as an alternative to Message-Passing models, which suffer from a lack of expressivity, oversquashing, and under-reaching. However, in a dynamic contex
Externí odkaz:
http://arxiv.org/abs/2409.17986
Publikováno v:
In Proceedings of the 21st International Conference on Informatics in Control, Automation and Robotics (ICINCO 2024)
This paper evaluates and compares the performance of model-free and model-based reinforcement learning for the attitude control of fixed-wing unmanned aerial vehicles using PID as a reference point. The comparison focuses on their ability to handle v
Externí odkaz:
http://arxiv.org/abs/2409.17896
Autor:
Rathel-Fournier, Dominique
We compute the cobordism group $\Omega^{\operatorname{lag}}(M)$ of Lagrangian immersions into a symplectic manifold $(M, \omega)$ in terms of a stable homotopy group of a Thom spectrum constructed from $M$. This generalizes a result of Eliashberg in
Externí odkaz:
http://arxiv.org/abs/2409.14651
Autor:
Gizon, Laurent, Bekki, Yuto, Birch, Aaron C., Cameron, Robert H., Fournier, Damien, Philidet, Jordan, Lekshmi, B., Liang, Zhi-Chao
The Sun's global inertial modes are very sensitive to the solar differential rotation and to properties of the deep solar convection zone which are currently poorly constrained. These properties include the superadiabatic temperature gradient, the la
Externí odkaz:
http://arxiv.org/abs/2409.04309
Autor:
Dinh, Tai, Hauchi, Wong, Fournier-Viger, Philippe, Lisik, Daniil, Ha, Minh-Quyet, Dam, Hieu-Chi, Huynh, Van-Nam
The clustering of categorical data is a common and important task in computer science, offering profound implications across a spectrum of applications. Unlike purely numerical data, categorical data often lack inherent ordering as in nominal data, o
Externí odkaz:
http://arxiv.org/abs/2408.17244
Autor:
Limonad, Lior, Fournier, Fabiana, Díaz, Juan Manuel Vera, Skarbovsky, Inna, Gur, Shlomit, Lazcano, Raquel
Publikováno v:
AIFin workshop at ECAI 2024
Large language models (LLMs) play a vital role in almost every domain in today's organizations. In the context of this work, we highlight the use of LLMs for sentiment analysis (SA) and explainability. Specifically, we contribute a novel technique to
Externí odkaz:
http://arxiv.org/abs/2407.19922
Autor:
Fournier-Facio, Francesco
We give a criterion for separability of subgroups of certain outer automorphism groups. This answers questions of Hagen and Sisto, by strengthening and generalizing a result of theirs on mapping class groups.
Comment: 5 pages
Comment: 5 pages
Externí odkaz:
http://arxiv.org/abs/2407.13824
Autor:
Karmim, Yannis, Yang, Leshanshui, S'Niehotta, Raphaël Fournier, Chatelain, Clément, Adam, Sébastien, Thome, Nicolas
Publikováno v:
MLG Workshop at ECML-PKDD, Sep 2024, Vilnius (Lituanie), France
Dynamic link prediction is a critical task in the analysis of evolving networks, with applications ranging from recommender systems to economic exchanges. However, the concept of the temporal receptive field, which refers to the temporal context that
Externí odkaz:
http://arxiv.org/abs/2407.12370
The increasing scale of Transformer models has led to an increase in their pre-training computational requirements. While quantization has proven to be effective after pre-training and during fine-tuning, applying quantization in Transformers during
Externí odkaz:
http://arxiv.org/abs/2407.11722
Autor:
Fournier, Jean-Baptiste
Publikováno v:
EPL, 146 (2024) 57001
The point-curvature model for membrane protein inclusions is shown to capture multibody interactions very well. Using this model, we find that the interplay between membrane tension and multibody interactions results in a collective attraction of opp
Externí odkaz:
http://arxiv.org/abs/2407.08631