Zobrazeno 1 - 10
of 74
pro vyhledávání: '"Mombaerts, Laurent"'
Autor:
Ding, Tianyu, Banerjee, Adi, Mombaerts, Laurent, Li, Yunhong, Borogovac, Tarik, Weinstein, Juan Pablo De la Cruz
The increasing use of Retrieval-Augmented Generation (RAG) systems in various applications necessitates stringent protocols to ensure RAG systems accuracy, safety, and alignment with user intentions. In this paper, we introduce VERA (Validation and E
Externí odkaz:
http://arxiv.org/abs/2409.03759
Autor:
Mombaerts, Laurent, Ding, Terry, Banerjee, Adi, Felice, Florian, Taws, Jonathan, Borogovac, Tarik
Retrieval Augmented Generation (RAG) is a technique used to augment Large Language Models (LLMs) with contextually relevant, time-critical, or domain-specific information without altering the underlying model parameters. However, constructing RAG sys
Externí odkaz:
http://arxiv.org/abs/2408.09017
In recent years, exploiting the domain-specific underlying structure of data and its generative factors for representation learning has shown success in various use-case agnostic applications. However, the diversity and complexity of tabular data hav
Externí odkaz:
http://arxiv.org/abs/2402.18164
Autor:
Klamminger, Gilbert Georg1,2,3 (AUTHOR) gilbert-georg.klamminger@uks.eu, Mombaerts, Laurent4 (AUTHOR), Kemp, Françoise4 (AUTHOR), Jelke, Finn5,6 (AUTHOR), Klein, Karoline5,7 (AUTHOR), Slimani, Rédouane6,8 (AUTHOR), Mirizzi, Giulia5,7 (AUTHOR), Husch, Andreas5,9 (AUTHOR), Hertel, Frank5,7 (AUTHOR), Mittelbronn, Michel4,8,9,10,11 (AUTHOR), Kleine Borgmann, Felix B.3,5,8,12 (AUTHOR) gilbert-georg.klamminger@uks.eu
Publikováno v:
Brain Sciences (2076-3425). Apr2024, Vol. 14 Issue 4, p301. 13p.
In the past years, many computational methods have been developed to infer the structure of gene regulatory networks from time-series data. However, the applicability and accuracy presumptions of such algorithms remain unclear due to experimental het
Externí odkaz:
http://arxiv.org/abs/1906.12243
Autor:
Martins, Teresa G., Soliman, Remon, Cordero-Maldonado, Maria Lorena, Donato, Cristina, Ameli, Corrado, Mombaerts, Laurent, Skupin, Alexander, Peri, Francesca, Crawford, Alexander D.
Publikováno v:
In Epilepsy Research July 2023
Publikováno v:
"Gene regulatory network inference from sparsely sampled noisy data", Nature Communications 11: 3493 (2020)
One of the focus areas of modern scientific research is to reveal mysteries related to genes and their interactions. The dynamic interactions between genes can be encoded into a gene regulatory network (GRN), which can be used to gain understanding o
Externí odkaz:
http://arxiv.org/abs/1808.08161
Autor:
Yuan, Ye, Sun, Chuan, Tang, Xiuchuan, Cheng, Cheng, Mombaerts, Laurent, Wang, Maolin, Hu, Tao, Sun, Chenyu, Guo, Yuqi, Li, Xiuting, Xu, Hui, Ren, Tongxin, Xiao, Yang, Xiao, Yaru, Zhu, Hongling, Wu, Honghan, Li, Kezhi, Chen, Chuming, Liu, Yingxia, Liang, Zhichao, Cao, Zhiguo, Zhang, Hai-Tao, Paschaldis, Ioannis Ch., Liu, Quanying, Goncalves, Jorge, Zhong, Qiang, Yan, Li
Publikováno v:
In Engineering January 2022 8:116-121
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.