Zobrazeno 1 - 10
of 11 203
pro vyhledávání: '"Toral, A."'
Neural machine translation (NMT) systems amplify lexical biases present in their training data, leading to artificially impoverished language in output translations. These language-level characteristics render automatic translations different from te
Externí odkaz:
http://arxiv.org/abs/2412.08473
Autor:
Barrionuevo, Alejandro Mendoza, Luis, Samuel Yanes, Reina, Daniel Gutiérrez, Marín, Sergio L. Toral
This paper presents a model-free deep reinforcement learning framework for informative path planning with heterogeneous fleets of autonomous surface vehicles to locate and collect plastic waste. The system employs two teams of vehicles: scouts and cl
Externí odkaz:
http://arxiv.org/abs/2412.02316
Autor:
Díaz, Luis Miguel, Luis, Samuel Yanes, Barrionuevo, Alejandro Mendoza, Diop, Dame Seck, Perales, Manuel, Casado, Alejandro, Toral, Sergio, Gutiérrez, Daniel
The use of Autonomous Surface Vehicles, equipped with water quality sensors and artificial vision systems, allows for a smart and adaptive deployment in water resources environmental monitoring. This paper presents a real implementation of a vehicle
Externí odkaz:
http://arxiv.org/abs/2410.05892
Machine translations are found to be lexically poorer than human translations. The loss of lexical diversity through MT poses an issue in the automatic translation of literature, where it matters not only what is written, but also how it is written.
Externí odkaz:
http://arxiv.org/abs/2408.17308
We present an efficient technique for calculating the angular two-point correlation functions (or ``overlap reduction functions'') induced by gravitational waves in both the pulse arrival times of pulsars and in the angular deflections of distant sou
Externí odkaz:
http://arxiv.org/abs/2406.00096
Autor:
Gupta, Toral, Cornish, Neil
We currently lack good waveform models for many gravitational wave sources. Examples where models are lacking include neutron star post merger signals, core collapse supernovae, and signals of unknown origin. Wavelet based techniques have proven effe
Externí odkaz:
http://arxiv.org/abs/2404.11719
Publikováno v:
EPJ Data Science 13, 61 (2024)
Languages are grouped into families that share common linguistic traits. While this approach has been successful in understanding genetic relations between diverse languages, more analyses are needed to accurately quantify their relatedness, especial
Externí odkaz:
http://arxiv.org/abs/2403.18430
Autor:
van Noord, Rik, Kuzman, Taja, Rupnik, Peter, Ljubešić, Nikola, Esplà-Gomis, Miquel, Ramírez-Sánchez, Gema, Toral, Antonio
Large, curated, web-crawled corpora play a vital role in training language models (LMs). They form the lion's share of the training data in virtually all recent LMs, such as the well-known GPT, LLaMA and XLM-RoBERTa models. However, despite this impo
Externí odkaz:
http://arxiv.org/abs/2403.08693
Autor:
Luis, Samuel Yanes, Shutin, Dmitriy, Gómez, Juan Marchal, Reina, Daniel Gutiérrez, Marín, Sergio Toral
The conservation of hydrological resources involves continuously monitoring their contamination. A multi-agent system composed of autonomous surface vehicles is proposed in this paper to efficiently monitor the water quality. To achieve a safe contro
Externí odkaz:
http://arxiv.org/abs/2401.04631
Publikováno v:
Physics 6, 515 (2024)
Changes of mind can become less likely the longer an agent has adopted a given opinion state. This resilience or inertia to change has been called ``aging''. We perform a comparative study of the effects of aging on the critical behavior of two stand
Externí odkaz:
http://arxiv.org/abs/2312.13077