Zobrazeno 1 - 10
of 88 292
pro vyhledávání: '"A Rio"'
Autor:
Alvarez-Ballesteros, Yulián A., Quiroz-Juarez, Mario A., Del-Rio-Correa, José L., Escobar-Ruiz, Adrian M.
In this work, we applied the Chaos Game Representation (CGR) to the complete human genomic sequence T2T-CHM13v2.0, analyzing the entire chromosome assembly and each chromosome separately, including mitochondrial DNA. Multifractal spectra were determi
Externí odkaz:
http://arxiv.org/abs/2412.16705
Economic agent-based models (ABMs) are becoming more and more data-driven, establishing themselves as increasingly valuable tools for economic research and policymaking. We propose to classify the extent to which an ABM is data-driven based on whethe
Externí odkaz:
http://arxiv.org/abs/2412.16591
Autor:
Saito, Koshiro, Mizuki, Sakae, Ohi, Masanari, Nakamura, Taishi, Shiotani, Taihei, Maeda, Koki, Ma, Youmi, Hattori, Kakeru, Fujii, Kazuki, Okamoto, Takumi, Ishida, Shigeki, Takamura, Hiroya, Yokota, Rio, Okazaki, Naoaki
Why do we build local large language models (LLMs)? What should a local LLM learn from the target language? Which abilities can be transferred from other languages? Do language-specific scaling laws exist? To explore these research questions, we eval
Externí odkaz:
http://arxiv.org/abs/2412.14471
Autor:
Neufang, Mathias, Pajak, Emma, van de Berg, Damien, Lee, Ye Seol, Chanona, Ehecatl Antonio del Rio
Optimization plays an important role in chemical engineering, impacting cost-effectiveness, resource utilization, product quality, and process sustainability metrics. This chapter broadly focuses on data-driven optimization, particularly, on model-ba
Externí odkaz:
http://arxiv.org/abs/2412.13948
Acquiring a comprehensive understanding of the interplay between foam friction and surface roughness is essential for achieving precise control over their flow dynamics. In particular, a major challenge is to reduce friction, which can be achieved wi
Externí odkaz:
http://arxiv.org/abs/2412.13692
Autor:
McNamara, Quinten, Fernández, Miguel Ángel del Río, Bhandari, Nishchal, Ratajczak, Martin, Chen, Danny, Miller, Corey, Jetté, Migüel
Word error rate (WER) as a metric has a variety of limitations that have plagued the field of speech recognition. Evaluation datasets suffer from varying style, formality, and inherent ambiguity of the transcription task. In this work, we attempt to
Externí odkaz:
http://arxiv.org/abs/2412.07937
Autor:
del Rio, Adrian, Navarro-Salas, Jose
In this article we briefly review the adiabatic renormalization program for spin 1/2 fields in expanding universes. We introduce the method and provide explicit expressions for the renormalized vacuum expectation value of the stress-energy tensor. Th
Externí odkaz:
http://arxiv.org/abs/2412.06718
Autor:
del Río, Ángel, Vergani, Marco
We introduce and study some families of groups whose irreducible characters take values on quadratic extensions of the rationals. We focus mostly on a generalization of inverse semi-rational groups, which we call uniformly semi-rational groups. Moreo
Externí odkaz:
http://arxiv.org/abs/2411.16563
Communication overhead is a key challenge in distributed deep learning, especially on slower Ethernet interconnects, and given current hardware trends, communication is likely to become a major bottleneck. While gradient compression techniques have b
Externí odkaz:
http://arxiv.org/abs/2411.16462
Autor:
Zhuang, Chen, Chen, Peng, Liu, Xin, Yokota, Rio, Dryden, Nikoli, Endo, Toshio, Matsuoka, Satoshi, Wahib, Mohamed
Graph Convolutional Networks (GCNs) are widely used in various domains. However, training distributed full-batch GCNs on large-scale graphs poses challenges due to inefficient memory access patterns and high communication overhead. This paper present
Externí odkaz:
http://arxiv.org/abs/2411.16025