Zobrazeno 1 - 10
of 68 535
pro vyhledávání: '"A. A. Rezende"'
We exhibit supercritical trade-off for monotone circuits, showing that there are functions computable by small circuits for which any circuit must have depth super-linear or even super-polynomial in the number of variables, far exceeding the linear w
Externí odkaz:
http://arxiv.org/abs/2411.14267
Autor:
Yang, Sherry, Batzner, Simon, Gao, Ruiqi, Aykol, Muratahan, Gaunt, Alexander L., McMorrow, Brendan, Rezende, Danilo J., Schuurmans, Dale, Mordatch, Igor, Cubuk, Ekin D.
Generative models trained at scale can now produce text, video, and more recently, scientific data such as crystal structures. In applications of generative approaches to materials science, and in particular to crystal structures, the guidance from t
Externí odkaz:
http://arxiv.org/abs/2409.06762
Autor:
Boitier, William, Del Pozzo, Antonella, García-Pérez, Álvaro, Gazut, Stephane, Jobic, Pierre, Lemaire, Alexis, Mahe, Erwan, Mayoue, Aurelien, Perion, Maxence, Rezende, Tuanir Franca, Singh, Deepika, Tucci-Piergiovanni, Sara
Federated Learning is a decentralized framework that enables multiple clients to collaboratively train a machine learning model under the orchestration of a central server without sharing their local data. The centrality of this framework represents
Externí odkaz:
http://arxiv.org/abs/2406.03608
Autor:
Cunha, Rafael O., Garcia-Basabe, Yunier, Larrude, Dunieskys G., Gamino, Matheus, Lima, Erika N., de Lima, Felipe Crasto, Fazzio, Adalberto, Rezende, Sergio M., Azevedo, Antonio, Mendes, Joaquim B. S.
We report experimental investigations of spin-to-charge current conversion and charge transfer dynamics (CT) at the interface of graphene/WS$_2$ van der Waals heterostructure. Pure spin current was produced by the spin precession in the microwave-dri
Externí odkaz:
http://arxiv.org/abs/2405.18617
Autor:
Didolkar, Aniket, Goyal, Anirudh, Ke, Nan Rosemary, Guo, Siyuan, Valko, Michal, Lillicrap, Timothy, Rezende, Danilo, Bengio, Yoshua, Mozer, Michael, Arora, Sanjeev
Metacognitive knowledge refers to humans' intuitive knowledge of their own thinking and reasoning processes. Today's best LLMs clearly possess some reasoning processes. The paper gives evidence that they also have metacognitive knowledge, including a
Externí odkaz:
http://arxiv.org/abs/2405.12205
Autor:
Pereira, Felipe de Carvalho, de Rezende, Pedro Jussieu, Yunes, Tallys, Morato, Luiz Fernando Batista
Publikováno v:
A Row Generation Algorithm for Finding Optimal Burning Sequences of Large Graphs. In 32nd Annual European Symposium on Algorithms (ESA 2024). Leibniz International Proceedings in Informatics (LIPIcs), Volume 308, pp. 94:1-94:17, 2024
We propose an exact algorithm for the Graph Burning Problem ($\texttt{GBP}$), an NP-hard optimization problem that models the spread of influence on social networks. Given a graph $G$ with vertex set $V$, the objective is to find a sequence of $k$ ve
Externí odkaz:
http://arxiv.org/abs/2404.17080
We prove that Sherali-Adams with polynomially bounded coefficients requires proofs of size $n^{\Omega(d)}$ to rule out the existence of an $n^{\Theta(1)}$-clique in Erd\H{o}s-R\'{e}nyi random graphs whose maximum clique is of size $d\leq 2\log n$. Th
Externí odkaz:
http://arxiv.org/abs/2404.16722
Autor:
Silva, Gabriel R. de Andrade, Santos, Vagson Luiz de Carvalho, Bittencourt, Guilherme Henrique Rezende
We propose a physical mechanism for fine-tuning the phase of a domain wall around the equilibrium directions involving the application of an external field and a spin polarized current in opposite directions. In this way, the position of the domain w
Externí odkaz:
http://arxiv.org/abs/2403.15311
Autor:
SIMA Team, Raad, Maria Abi, Ahuja, Arun, Barros, Catarina, Besse, Frederic, Bolt, Andrew, Bolton, Adrian, Brownfield, Bethanie, Buttimore, Gavin, Cant, Max, Chakera, Sarah, Chan, Stephanie C. Y., Clune, Jeff, Collister, Adrian, Copeman, Vikki, Cullum, Alex, Dasgupta, Ishita, de Cesare, Dario, Di Trapani, Julia, Donchev, Yani, Dunleavy, Emma, Engelcke, Martin, Faulkner, Ryan, Garcia, Frankie, Gbadamosi, Charles, Gong, Zhitao, Gonzales, Lucy, Gupta, Kshitij, Gregor, Karol, Hallingstad, Arne Olav, Harley, Tim, Haves, Sam, Hill, Felix, Hirst, Ed, Hudson, Drew A., Hudson, Jony, Hughes-Fitt, Steph, Rezende, Danilo J., Jasarevic, Mimi, Kampis, Laura, Ke, Rosemary, Keck, Thomas, Kim, Junkyung, Knagg, Oscar, Kopparapu, Kavya, Lawton, Rory, Lampinen, Andrew, Legg, Shane, Lerchner, Alexander, Limont, Marjorie, Liu, Yulan, Loks-Thompson, Maria, Marino, Joseph, Cussons, Kathryn Martin, Matthey, Loic, Mcloughlin, Siobhan, Mendolicchio, Piermaria, Merzic, Hamza, Mitenkova, Anna, Moufarek, Alexandre, Oliveira, Valeria, Oliveira, Yanko, Openshaw, Hannah, Pan, Renke, Pappu, Aneesh, Platonov, Alex, Purkiss, Ollie, Reichert, David, Reid, John, Richemond, Pierre Harvey, Roberts, Tyson, Ruscoe, Giles, Elias, Jaume Sanchez, Sandars, Tasha, Sawyer, Daniel P., Scholtes, Tim, Simmons, Guy, Slater, Daniel, Soyer, Hubert, Strathmann, Heiko, Stys, Peter, Tam, Allison C., Teplyashin, Denis, Terzi, Tayfun, Vercelli, Davide, Vujatovic, Bojan, Wainwright, Marcus, Wang, Jane X., Wang, Zhengdong, Wierstra, Daan, Williams, Duncan, Wong, Nathaniel, York, Sarah, Young, Nick
Building embodied AI systems that can follow arbitrary language instructions in any 3D environment is a key challenge for creating general AI. Accomplishing this goal requires learning to ground language in perception and embodied actions, in order t
Externí odkaz:
http://arxiv.org/abs/2404.10179
Autor:
Cardoso, Micaele Niobe Martins, Azevedo, Fernanda, Dias, Alan, de Almeida, Ana Carolina Sousa, Senna, André R., Marques, Antonio C., Rezende, Dafinny, Hajdu, Eduardo, Lopes-Filho, Erick Alves Pereira, Pitombo, Fábio Bettini, de Oliveira, Gabriela Moura, Doria, João Gabriel, Carraro, João Luís, De-Paula, Joel Campos, Bahia, Juliana, de Araujo, Juliana Magalhães, Paresque, Karla, Vieira, Leandro Manzoni, Fernandes, Luanny Martins, Santos, Luciano N., Miranda, Lucília Souza, Lorini, Maria Lucia, Klautau, Michelle, Pagliosa, Paulo Roberto, Clerier, Pedro Henrique Braga, de Moura, Rafael B., da Rocha Fortes, Rafael, Neves, Raquel A. F., da Rocha, Rosana Moreira, Stampar, Sérgio N., Salani, Sula, Miranda, Thaís Pires, Pinheiro, Ulisses, Venekey, Virág, Oliveira, Ubirajara
Publikováno v:
Diversity and Distributions, 2024 Jun 01. 30(6), 1-10.
Externí odkaz:
https://www.jstor.org/stable/48771599
