Zobrazeno 1 - 10
of 30 437
pro vyhledávání: '"Garcés A"'
Autor:
Le, Thanh-Dung, Ha, Vu Nguyen, Nguyen, Ti Ti, Eappen, Geoffrey, Thiruvasagam, Prabhu, Garces-Socarras, Luis M., Chou, Hong-fu, Gonzalez-Rios, Jorge L., Merlano-Duncan, Juan Carlos, Chatzinotas, Symeon
Remote sensing image classification is a critical component of Earth observation (EO) systems, traditionally dominated by convolutional neural networks (CNNs) and other deep learning techniques. However, the advent of Transformer-based architectures
Externí odkaz:
http://arxiv.org/abs/2409.03901
Autor:
Wang, Kangwang, Wu, Mingjie, Yu, Peifeng, Garces, Hector F., Liang, Ying, Li, Longfu, Zeng, Lingyong, Li, Kuan, Zhang, Chao, Yan, Kai, Luo, Huixia
Publikováno v:
Applied Catalysis B: Environment and Energy,2024,352,124058
Despite ongoing research, the rational design of nontrivial topological semimetal surface states for the selective photocatalytic CO$_2$ conversion into valuable products remains full of challenges. Herein, we present the synthesis of 1T-OsCoTe$_2$ f
Externí odkaz:
http://arxiv.org/abs/2408.11369
Autor:
Arias, Esteban Garces, Rodemann, Julian, Li, Meimingwei, Heumann, Christian, Aßenmacher, Matthias
Decoding from the output distributions of large language models to produce high-quality text is a complex challenge in language modeling. Various approaches, such as beam search, sampling with temperature, $k-$sampling, nucleus $p-$sampling, typical
Externí odkaz:
http://arxiv.org/abs/2407.18698
We investigate a continuous-time investment-consumption problem with model uncertainty in a general diffusion-based market with random model coefficients. We assume that a power utility investor is ambiguity-averse, with the preference to robustness
Externí odkaz:
http://arxiv.org/abs/2407.02831
Autor:
Silber, Elizabeth A., Bowman, Daniel C., Carr, Chris G., Eisenberg, David P., Elbing, Brian R., Fernando, Benjamin, Garcés, Milton A., Haaser, Robert, Krishnamoorthy, Siddharth, Langston, Charles A., Nishikawa, Yasuhiro, Webster, Jeremy, Anderson, Jacob F., Arrowsmith, Stephen, Bazargan, Sonia, Beardslee, Luke, Beck, Brant, Bishop, Jordan W., Blom, Philip, Bracht, Grant, Chichester, David L., Christe, Anthony, Cummins, Kenneth, Cutts, James, Danielson, Lisa, Donahue, Carly, Eack, Kenneth, Fleigle, Michael, Fox, Douglas, Goel, Ashish, Green, David, Hasumi, Yuta, Hayward, Chris, Hicks, Dan, Hix, Jay, Horton, Stephen, Hough, Emalee, Huber, David P., Hunt, Madeline A., Inman, Jennifer, Islam, S. M. Ariful, Izraelevitz, Jacob, Jacob, Jamey D., Clarke, Jacob, Johnson, James, KC, Real J., Komjathy, Attila, Lam, Eric, LaPierre, Justin, Lewis, Kevin, Lewis, Richard D., Liu, Patrick, Martire, Léo, McCleary, Meaghan, McGhee, Elisa A., Mitra, Ipsita, Nag, Amitabh, Giraldo, Luis Ocampo, Pearson, Karen, Plaisir, Mathieu, Popenhagen, Sarah K., Rassoul, Hamid, Giannone, Miro Ronac, Samnani, Mirza, Schmerr, Nicholas, Spillman, Kate, Srinivas, Girish, Takazawa, Samuel K., Tempert, Alex, Turley, Reagan, Van Beek, Cory, Viens, Loïc, Walsh, Owen A., Weinstein, Nathan, White, Robert, Williams, Brian, Wilson, Trevor C., Wyckoff, Shirin, Yamamoto, Masa-yuki, Yap, Zachary, Yoshiyama, Tyler, Zeiler, Cleat
Sample Return Capsules (SRCs) entering Earth's atmosphere at hypervelocity from interplanetary space are a valuable resource for studying meteor phenomena. The 24 September 2023 arrival of the OSIRIS-REx (Origins, Spectral Interpretation, Resource Id
Externí odkaz:
http://arxiv.org/abs/2407.02420
Publikováno v:
E3S Web of Conferences, Vol 415, p 02007 (2023)
The openFOAM solver faDebrisFOAM was recently developed to simulate debris flows with the finite area method. This new solver includes, among other capabilities, a variable density for the solid-liquid mixture, erosion and deposition processes, and a
Externí odkaz:
https://doaj.org/article/83ec3d514bc64c94818a2d797ead69bc
This work presents a polyelectrolyte (PE) model based on a freely jointed chain (FJC) in which the beads are ionizable and the bonds are rigid. Electrostatic interactions considered are of the short range type up to next-nearest neighbours using a De
Externí odkaz:
http://arxiv.org/abs/2406.03991
Autor:
Mazzucchelli, Alessio, Garcia-Garcia, Adrian, Garces, Elena, Rivas-Manzaneque, Fernando, Moreno-Noguer, Francesc, Penate-Sanchez, Adrian
Advances in NERFs have allowed for 3D scene reconstructions and novel view synthesis. Yet, efficiently editing these representations while retaining photorealism is an emerging challenge. Recent methods face three primary limitations: they're slow fo
Externí odkaz:
http://arxiv.org/abs/2405.19876
Autor:
Garces, Luis M., Nik, Amirhossein, Ortiz, Flor, Vásquez-Peralvo, Juan A., Gonzalez, Jorge L., Chehailty, Mouhamad, Kuhfuss, Marcele, Lagunas, Eva, Thoemel, Jan, Kumar, Sumit, Singh, Vishal, Duncan, Juan C., Malmir, Sahar, Varadajulu, Swetha, Querol, Jorge, Chatzinotas, Symeon
Publikováno v:
SPAICE Conference 2024
The Artificial Intelligence Satellite Telecommunications Testbed (AISTT), part of the ESA project SPAICE, is focused on the transformation of the satellite payload by using artificial intelligence (AI) and machine learning (ML) methodologies over ava
Externí odkaz:
http://arxiv.org/abs/2405.18297
Let $\{C_i\}_{i\in \Gamma_1},$ and $\{D_j\}_{j\in \Gamma_2},$ be two families of Cartan factors such that all of them have dimension at least $2$, and consider the atomic JBW$^*$-triples $A=\bigoplus\limits_{i\in \Gamma_1}^{\ell_{\infty}} C_i$ and $B
Externí odkaz:
http://arxiv.org/abs/2405.13489