Zobrazeno 1 - 10
of 874
pro vyhledávání: '"Giorno, P."'
Publikováno v:
Mathematical Biosciences and Engineering, 21(9), 7067-7083, 2024
We consider a time-inhomogeneous diffusion process able to describe the dynamics of infected people in a susceptible-infectious epidemic model in which the transmission intensity function is time-dependent. Such a model is well suited to describe som
Externí odkaz:
http://arxiv.org/abs/2410.21954
Autor:
Abdin, Marah, Aneja, Jyoti, Awadalla, Hany, Awadallah, Ahmed, Awan, Ammar Ahmad, Bach, Nguyen, Bahree, Amit, Bakhtiari, Arash, Bao, Jianmin, Behl, Harkirat, Benhaim, Alon, Bilenko, Misha, Bjorck, Johan, Bubeck, Sébastien, Cai, Martin, Cai, Qin, Chaudhary, Vishrav, Chen, Dong, Chen, Dongdong, Chen, Weizhu, Chen, Yen-Chun, Chen, Yi-Ling, Cheng, Hao, Chopra, Parul, Dai, Xiyang, Dixon, Matthew, Eldan, Ronen, Fragoso, Victor, Gao, Jianfeng, Gao, Mei, Gao, Min, Garg, Amit, Del Giorno, Allie, Goswami, Abhishek, Gunasekar, Suriya, Haider, Emman, Hao, Junheng, Hewett, Russell J., Hu, Wenxiang, Huynh, Jamie, Iter, Dan, Jacobs, Sam Ade, Javaheripi, Mojan, Jin, Xin, Karampatziakis, Nikos, Kauffmann, Piero, Khademi, Mahoud, Kim, Dongwoo, Kim, Young Jin, Kurilenko, Lev, Lee, James R., Lee, Yin Tat, Li, Yuanzhi, Li, Yunsheng, Liang, Chen, Liden, Lars, Lin, Xihui, Lin, Zeqi, Liu, Ce, Liu, Liyuan, Liu, Mengchen, Liu, Weishung, Liu, Xiaodong, Luo, Chong, Madan, Piyush, Mahmoudzadeh, Ali, Majercak, David, Mazzola, Matt, Mendes, Caio César Teodoro, Mitra, Arindam, Modi, Hardik, Nguyen, Anh, Norick, Brandon, Patra, Barun, Perez-Becker, Daniel, Portet, Thomas, Pryzant, Reid, Qin, Heyang, Radmilac, Marko, Ren, Liliang, de Rosa, Gustavo, Rosset, Corby, Roy, Sambudha, Ruwase, Olatunji, Saarikivi, Olli, Saied, Amin, Salim, Adil, Santacroce, Michael, Shah, Shital, Shang, Ning, Sharma, Hiteshi, Shen, Yelong, Shukla, Swadheen, Song, Xia, Tanaka, Masahiro, Tupini, Andrea, Vaddamanu, Praneetha, Wang, Chunyu, Wang, Guanhua, Wang, Lijuan, Wang, Shuohang, Wang, Xin, Wang, Yu, Ward, Rachel, Wen, Wen, Witte, Philipp, Wu, Haiping, Wu, Xiaoxia, Wyatt, Michael, Xiao, Bin, Xu, Can, Xu, Jiahang, Xu, Weijian, Xue, Jilong, Yadav, Sonali, Yang, Fan, Yang, Jianwei, Yang, Yifan, Yang, Ziyi, Yu, Donghan, Yuan, Lu, Zhang, Chenruidong, Zhang, Cyril, Zhang, Jianwen, Zhang, Li Lyna, Zhang, Yi, Zhang, Yue, Zhang, Yunan, Zhou, Xiren
We introduce phi-3-mini, a 3.8 billion parameter language model trained on 3.3 trillion tokens, whose overall performance, as measured by both academic benchmarks and internal testing, rivals that of models such as Mixtral 8x7B and GPT-3.5 (e.g., phi
Externí odkaz:
http://arxiv.org/abs/2404.14219
Publikováno v:
Communications in Nonlinear Science and Numerical Simulation 107 (2022) 106100
We discuss a general growth curve including several parameters, whose choice leads to a variety of models including the classical cases of Malthusian, Richards, Gompertz, Logistic and some their generalizations. The advantage is to obtain a single ma
Externí odkaz:
http://arxiv.org/abs/2402.00882
Autor:
Albano, Giuseppina, Giorno, Virginia, Román-Román, Patricia, Román-Román, Sergio, Serrano-Pérez, Juan José, Torres-Ruiz, Francisco
Publikováno v:
Mathematical Biosciences, 328, 108428, 2020
We consider a non homogeneous Gompertz diffusion process whose parameters are modified by generally time-dependent exogenous factors included in the infinitesimal moments. The proposed model is able to describe tumor dynamics under the effect of anti
Externí odkaz:
http://arxiv.org/abs/2401.15382
Autor:
Albano, Giuseppina, Barrera, Antonio, Giorno, Virginia, Román-Román, Patricia, Torres-Ruiz, Francisco
Publikováno v:
Communications in Nonlinear Science and Numerical Simulation, 126, (2023), 107494
Recently a general growth curve including the well known growth equations, such as Malthus, logistic, Bertallanfy, Gompertz, has been studied. We now propose two stochastic formulations of this growth equation. They are obtained starting from a suita
Externí odkaz:
http://arxiv.org/abs/2401.14788
Autor:
Li, Yuanzhi, Bubeck, Sébastien, Eldan, Ronen, Del Giorno, Allie, Gunasekar, Suriya, Lee, Yin Tat
We continue the investigation into the power of smaller Transformer-based language models as initiated by \textbf{TinyStories} -- a 10 million parameter model that can produce coherent English -- and the follow-up work on \textbf{phi-1}, a 1.3 billio
Externí odkaz:
http://arxiv.org/abs/2309.05463
Autor:
Del Corro, Luciano, Del Giorno, Allie, Agarwal, Sahaj, Yu, Bin, Awadallah, Ahmed, Mukherjee, Subhabrata
Autoregressive large language models (LLMs) have made remarkable progress in various natural language generation tasks. However, they incur high computation cost and latency resulting from the autoregressive token-by-token generation. To address this
Externí odkaz:
http://arxiv.org/abs/2307.02628
Autor:
Gunasekar, Suriya, Zhang, Yi, Aneja, Jyoti, Mendes, Caio César Teodoro, Del Giorno, Allie, Gopi, Sivakanth, Javaheripi, Mojan, Kauffmann, Piero, de Rosa, Gustavo, Saarikivi, Olli, Salim, Adil, Shah, Shital, Behl, Harkirat Singh, Wang, Xin, Bubeck, Sébastien, Eldan, Ronen, Kalai, Adam Tauman, Lee, Yin Tat, Li, Yuanzhi
We introduce phi-1, a new large language model for code, with significantly smaller size than competing models: phi-1 is a Transformer-based model with 1.3B parameters, trained for 4 days on 8 A100s, using a selection of ``textbook quality" data from
Externí odkaz:
http://arxiv.org/abs/2306.11644
Autor:
R. Pompili, M. P. Anania, A. Biagioni, M. Carillo, E. Chiadroni, A. Cianchi, G. Costa, L. Crincoli, A. Del Dotto, M. Del Giorno, F. Demurtas, M. Ferrario, M. Galletti, A. Giribono, J. K. Jones, V. Lollo, T. Pacey, G. Parise, G. Di Pirro, S. Romeo, G. J. Silvi, V. Shpakov, F. Villa, A. Zigler
Publikováno v:
Communications Physics, Vol 7, Iss 1, Pp 1-8 (2024)
Abstract Plasma wakefield acceleration revolutionized the field of particle accelerators by generating gigavolt-per-centimeter fields. To compete with conventional radio-frequency (RF) accelerators, plasma technology must demonstrate operation at hig
Externí odkaz:
https://doaj.org/article/f3063d8adc304d00b27bd89e53dde0ea
Publikováno v:
Journal of Membrane Science Letters, Vol 4, Iss 2, Pp 100081- (2024)
New blend membranes consisting of a tuned ratio of polyvinylidene fluoride (PVDF) and alkali lignin (AL) were studied. Through the use of a green solvent like dimethyl sulfoxide, effective mixing between PVDF and AL was achieved, leading to the devel
Externí odkaz:
https://doaj.org/article/ef988c883e7e47b5afc9ad194f537404