Zobrazeno 1 - 10
of 2 430
pro vyhledávání: '"Araújo João"'
Autor:
Moreira, Ricardo P., da Silva, E. Lora, Oliveira, Gonçalo N. P., Rocha-Rodrigues, Pedro, Stroppa, Alessandro, Colin, Claire V., Darie, Céline, Correia, João G., Assali, Lucy V. C., Petrilli, Helena M., Lopes, Armandina M. L., Araújo, João P.
The structural and electronic properties of the CaMnGe$_2$O$_6$ and SrMnGe$_2$O$_6$ clinopyroxene systems have been investigated by means of perturbed angular correlation (PAC) measurements, performed at ISOLDE, combined with $ab-initio$ electronic s
Externí odkaz:
http://arxiv.org/abs/2407.21749
Deep reinforcement learning (deep RL) has achieved tremendous success on various domains through a combination of algorithmic design and careful selection of hyper-parameters. Algorithmic improvements are often the result of iterative enhancements bu
Externí odkaz:
http://arxiv.org/abs/2406.17523
Autor:
Barbero, Federico, Banino, Andrea, Kapturowski, Steven, Kumaran, Dharshan, Araújo, João G. M., Vitvitskyi, Alex, Pascanu, Razvan, Veličković, Petar
We study how information propagates in decoder-only Transformers, which are the architectural backbone of most existing frontier large language models (LLMs). We rely on a theoretical signal propagation analysis -- specifically, we analyse the repres
Externí odkaz:
http://arxiv.org/abs/2406.04267
Autor:
Araújo João, Norberto Marcos, Pinheiro Pedro, Mano Carlos, Campos José, Pimenta Vasco, Porto João Vasconcelos, Manso José, Fontes Natacha, Silva Sara, Graça António
Publikováno v:
BIO Web of Conferences, Vol 68, p 01022 (2023)
One of the most frequent, most expensive and potentially more impactful tasks in crop management is surveying and scouting the fields for problems in crop development. Any biotic / abiotic stress undetected becomes a bigger problem to solve later, wi
Externí odkaz:
https://doaj.org/article/5fb6cb21215e42e8a1c9b43b6ba11cf5
Autor:
Araújo João, Pimenta Vasco, Campos José, Pinheiro Pedro, Porto João Vasconcelos, Manso José, Fontes Natacha, Graça António
Publikováno v:
BIO Web of Conferences, Vol 56, p 01006 (2023)
Spin.Works has been developing its MAPP.it platform and implementing features in close cooperation with the internal R&D group of Sogrape Vinhos, Portugal's largest winemaker and a long-standing MAPP.it user. Borne of such cooperation were a number o
Externí odkaz:
https://doaj.org/article/671daadc6f954e00a6392859566ac0c8
Autor:
Gavranović, Bruno, Lessard, Paul, Dudzik, Andrew, von Glehn, Tamara, Araújo, João G. M., Veličković, Petar
We present our position on the elusive quest for a general-purpose framework for specifying and studying deep learning architectures. Our opinion is that the key attempts made so far lack a coherent bridge between specifying constraints which models
Externí odkaz:
http://arxiv.org/abs/2402.15332
Autor:
Huang, Shengyi, Gallouédec, Quentin, Felten, Florian, Raffin, Antonin, Dossa, Rousslan Fernand Julien, Zhao, Yanxiao, Sullivan, Ryan, Makoviychuk, Viktor, Makoviichuk, Denys, Danesh, Mohamad H., Roumégous, Cyril, Weng, Jiayi, Chen, Chufan, Rahman, Md Masudur, Araújo, João G. M., Quan, Guorui, Tan, Daniel, Klein, Timo, Charakorn, Rujikorn, Towers, Mark, Berthelot, Yann, Mehta, Kinal, Chakraborty, Dipam, KG, Arjun, Charraut, Valentin, Ye, Chang, Liu, Zichen, Alegre, Lucas N., Nikulin, Alexander, Hu, Xiao, Liu, Tianlin, Choi, Jongwook, Yi, Brent
In many Reinforcement Learning (RL) papers, learning curves are useful indicators to measure the effectiveness of RL algorithms. However, the complete raw data of the learning curves are rarely available. As a result, it is usually necessary to repro
Externí odkaz:
http://arxiv.org/abs/2402.03046
Time-lapse images carry out important information about dynamic changes in Earth's interior which can be inferred using different Full Waveform Inversion (FWI) schemes. The estimation process is performed by manipulating more than one seismic dataset
Externí odkaz:
http://arxiv.org/abs/2311.02999
Autor:
Araujo, Joao Pedro, Li, Jiaman, Vetrivel, Karthik, Agarwal, Rishi, Gopinath, Deepak, Wu, Jiajun, Clegg, Alexander, Liu, C. Karen
Synthesizing 3D human motion in a contextual, ecological environment is important for simulating realistic activities people perform in the real world. However, conventional optics-based motion capture systems are not suited for simultaneously captur
Externí odkaz:
http://arxiv.org/abs/2303.17912