Zobrazeno 1 - 10
of 873
pro vyhledávání: '"P. Gonzálvo"'
Publikováno v:
Actas Dermo-Sifiliográficas, Vol 113, Iss 3, Pp 326-328 (2022)
Externí odkaz:
https://doaj.org/article/0d21f91930394ea8b62148fa459a74da
Publikováno v:
Actas Dermo-Sifiliográficas, Vol 113, Iss 3, Pp T326-T328 (2022)
Externí odkaz:
https://doaj.org/article/642ab1ae6ac04ee4a315f5d7ac7150ee
Quantum computers are expected to scale in size to close the gap that currently exists between quantum algorithms and quantum hardware. To this end, quantum compilation techniques must scale along with the hardware constraints, shifting the current p
Externí odkaz:
http://arxiv.org/abs/2407.17306
Publikováno v:
Proceedings of 2nd Annual Workshop on Topology, Algebra, and Geometry in Machine Learning (TAG-ML), PMLR 221:189-205, 2023
There has been considerable effort to better understand the generalization capabilities of deep neural networks both as a means to unlock a theoretical understanding of their success as well as providing directions for further improvements. In this p
Externí odkaz:
http://arxiv.org/abs/2405.18590
Many of the recent remarkable advances in computer vision and language models can be attributed to the success of transfer learning via the pre-training of large foundation models. However, a theoretical framework which explains this empirical succes
Externí odkaz:
http://arxiv.org/abs/2405.15706
Recent breakthroughs and successful deployment of large language and vision models in a constrained environment predominantly follow a two phase approach. First, large models are trained to achieve peak performance, followed by a model shrinking meth
Externí odkaz:
http://arxiv.org/abs/2402.05033
In recent years, deep learning has made remarkable progress in a wide range of domains, with a particularly notable impact on natural language processing tasks. One of the challenges associated with training deep neural networks in the context of LLM
Externí odkaz:
http://arxiv.org/abs/2306.11903
Publikováno v:
Sci Rep 13, 523 (2023)
We present a novel, single-ion trap with integrated optical fibers directly embedded within the trap structure to deliver laser light as well as collect the ion's fluorescence. This eliminates the need for optical windows. We characterise the system'
Externí odkaz:
http://arxiv.org/abs/2112.06816
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Akademický článek
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