Zobrazeno 1 - 10
of 2 298
pro vyhledávání: '"Dhaouadi, A."'
Autor:
Meier, Johannes, Scalerandi, Luca, Dhaouadi, Oussema, Kaiser, Jacques, Araslanov, Nikita, Cremers, Daniel
Existing techniques for monocular 3D detection have a serious restriction. They tend to perform well only on a limited set of benchmarks, faring well either on ego-centric car views or on traffic camera views, but rarely on both. To encourage progres
Externí odkaz:
http://arxiv.org/abs/2408.11958
In this paper we present a new first-order hyperbolic reformulation of the Cahn-Hilliard equation. The model is obtained from the combination of augmented Lagrangian techniques proposed earlier by the authors of this paper, with a classical Cattaneo-
Externí odkaz:
http://arxiv.org/abs/2408.03862
Autor:
Chouikhi, Hasna, Aloui, Manel, Hammou, Cyrine Ben, Chaabane, Ghaith, Kchaou, Haithem, Dhaouadi, Chehir
Large language models (LLMs) have greatly impacted the natural language processing (NLP) field, particularly for the English language. These models have demonstrated capabilities in understanding and generating human-like text. The success of languag
Externí odkaz:
http://arxiv.org/abs/2407.02147
In recent years, Large Language Models have revolutionized the field of natural language processing, showcasing an impressive rise predominantly in English-centric domains. These advancements have set a global benchmark, inspiring significant efforts
Externí odkaz:
http://arxiv.org/abs/2405.01590
We present a new second order accurate structure-preserving finite volume scheme for the solution of the compressible barotropic two-phase model of Romenski et. al in multiple space dimensions. The governing equations fall into the wider class of sym
Externí odkaz:
http://arxiv.org/abs/2403.18724
Code commit messages can contain useful information on why a developer has made a change. However, the presence and structure of rationale in real-world code commit messages is not well studied. Here, we detail the creation of a labelled dataset to a
Externí odkaz:
http://arxiv.org/abs/2403.18832
In this paper, we examine biases arising in A/B tests where firms modify a continuous parameter, such as price, to estimate the global treatment effect of a given performance metric, such as profit. These biases emerge in canonical experimental estim
Externí odkaz:
http://arxiv.org/abs/2310.17165
Extracting rationale information from commit messages allows developers to better understand a system and its past development. Here we present our ongoing work on the Kantara end-to-end rationale reconstruction pipeline to a) structure rationale inf
Externí odkaz:
http://arxiv.org/abs/2311.03358
Model stealing attacks have become a serious concern for deep learning models, where an attacker can steal a trained model by querying its black-box API. This can lead to intellectual property theft and other security and privacy risks. The current s
Externí odkaz:
http://arxiv.org/abs/2309.01838
Autor:
Dhaouadi, Firas, Gavrilyuk, Sergey
Publikováno v:
Proceedings of the Royal Society Volume 480, Issue 2283 (2024)
In this paper, we present a new model for heat transfer in compressible fluid flows. The model is derived from Hamilton's principle of stationary action in Eulerian coordinates, in a setting where the entropy conservation is recovered as an Euler--La
Externí odkaz:
http://arxiv.org/abs/2305.12229