Zobrazeno 1 - 10
of 1 681
pro vyhledávání: '"MARTINEZ, ALVARO"'
Autor:
Bernárdez, Guillermo, Telyatnikov, Lev, Montagna, Marco, Baccini, Federica, Papillon, Mathilde, Ferriol-Galmés, Miquel, Hajij, Mustafa, Papamarkou, Theodore, Bucarelli, Maria Sofia, Zaghen, Olga, Mathe, Johan, Myers, Audun, Mahan, Scott, Lillemark, Hansen, Vadgama, Sharvaree, Bekkers, Erik, Doster, Tim, Emerson, Tegan, Kvinge, Henry, Agate, Katrina, Ahmed, Nesreen K, Bai, Pengfei, Banf, Michael, Battiloro, Claudio, Beketov, Maxim, Bogdan, Paul, Carrasco, Martin, Cavallo, Andrea, Choi, Yun Young, Dasoulas, George, Elphick, Matouš, Escalona, Giordan, Filipiak, Dominik, Fritze, Halley, Gebhart, Thomas, Gil-Sorribes, Manel, Goomanee, Salvish, Guallar, Victor, Imasheva, Liliya, Irimia, Andrei, Jin, Hongwei, Johnson, Graham, Kanakaris, Nikos, Koloski, Boshko, Kovač, Veljko, Lecha, Manuel, Lee, Minho, Leroy, Pierrick, Long, Theodore, Magai, German, Martinez, Alvaro, Masden, Marissa, Mežnar, Sebastian, Miquel-Oliver, Bertran, Molina, Alexis, Nikitin, Alexander, Nurisso, Marco, Piekenbrock, Matt, Qin, Yu, Rygiel, Patryk, Salatiello, Alessandro, Schattauer, Max, Snopov, Pavel, Suk, Julian, Sánchez, Valentina, Tec, Mauricio, Vaccarino, Francesco, Verhellen, Jonas, Wantiez, Frederic, Weers, Alexander, Zajec, Patrik, Škrlj, Blaž, Miolane, Nina
This paper describes the 2nd edition of the ICML Topological Deep Learning Challenge that was hosted within the ICML 2024 ELLIS Workshop on Geometry-grounded Representation Learning and Generative Modeling (GRaM). The challenge focused on the problem
Externí odkaz:
http://arxiv.org/abs/2409.05211
Autor:
Ayuso-Martinez, Alvaro, Casanueva-Morato, Daniel, Dominguez-Morales, Juan Pedro, Jimenez-Fernandez, Angel, Jimenez-Moreno, Gabriel
Since the advent of mobile robots, obstacle detection has been a topic of great interest. It has also been a subject of study in neuroscience, where flying insects and bats could be considered two of the most interesting cases in terms of vision-base
Externí odkaz:
http://arxiv.org/abs/2409.02680
Autor:
Martinez, Alvaro L., Wildon, Mark
Let $\mathbb{F}$ be a field and let $E$ be the natural representation of $\mathrm{SL}_2(\mathbb{F})$. Given a vector space $V$, let $\Delta^{(2,1^{N-1})}V$ be the kernel of the multiplication map $\bigwedge^N V \otimes V \rightarrow \bigwedge^{N+1}V$
Externí odkaz:
http://arxiv.org/abs/2405.04631
Autor:
Casanueva-Morato, Daniel, Ayuso-Martinez, Alvaro, Dominguez-Morales, Juan P., Jimenez-Fernandez, Angel, Jimenez-Moreno, Gabriel
The brain has computational capabilities that surpass those of modern systems, being able to solve complex problems efficiently in a simple way. Neuromorphic engineering aims to mimic biology in order to develop new systems capable of incorporating s
Externí odkaz:
http://arxiv.org/abs/2310.05868
Autor:
Casanueva-Morato, Daniel, Ayuso-Martinez, Alvaro, Dominguez-Morales, Juan P., Jimenez-Fernandez, Angel, Jimenez-Moreno, Gabriel, Perez-Pena, Fernando
The brain has a great capacity for computation and efficient resolution of complex problems, far surpassing modern computers. Neuromorphic engineering seeks to mimic the basic principles of the brain to develop systems capable of achieving such capab
Externí odkaz:
http://arxiv.org/abs/2305.12892
Autor:
Casanueva-Morato, Daniel, Ayuso-Martinez, Alvaro, Dominguez-Morales, Juan P., Jimenez-Fernandez, Angel, Jimenez-Moreno, Gabriel
The nervous system, more specifically, the brain, is capable of solving complex problems simply and efficiently, far surpassing modern computers. In this regard, neuromorphic engineering is a research field that focuses on mimicking the basic princip
Externí odkaz:
http://arxiv.org/abs/2206.04924
Autor:
Ayuso-Martinez, Alvaro, Casanueva-Morato, Daniel, Dominguez-Morales, Juan P., Jimenez-Fernandez, Angel, Jimenez-Moreno, Gabriel
Neuromorphic engineering concentrates the efforts of a large number of researchers due to its great potential as a field of research, in a search for the exploitation of the advantages of the biological nervous system and the brain as a whole for the
Externí odkaz:
http://arxiv.org/abs/2206.03957
Spike-based computational models of bio-inspired memories in the hippocampal CA3 region on SpiNNaker
Autor:
Casanueva-Morato, Daniel, Ayuso-Martinez, Alvaro, Dominguez-Morales, Juan P., Jimenez-Fernandez, Angel, Jimenez-Moreno, Gabriel
The human brain is the most powerful and efficient machine in existence today, surpassing in many ways the capabilities of modern computers. Currently, lines of research in neuromorphic engineering are trying to develop hardware that mimics the funct
Externí odkaz:
http://arxiv.org/abs/2205.04782
Autor:
Ayuso-Martinez, Alvaro, Casanueva-Morato, Daniel, Dominguez-Morales, Juan P., Jimenez-Fernandez, Angel, Jimenez-Moreno, Gabriel
One of the most interesting and still growing scientific fields is neuromorphic engineering, which is focused on studying and designing hardware and software with the purpose of mimicking the basic principles of biological nervous systems. Currently,
Externí odkaz:
http://arxiv.org/abs/2205.04430
Autor:
Xie, Junqing, López-Güell, Kim, Dedman, Daniel, Duarte-Salles, Talita, Kolde, Raivo, López-Blasco, Raúl, Martínez, Álvaro, Mercier, Gregoire, Abellan, Alicia, Arinze, Johnmary T., Cuccu, Zara, Delmestri, Antonella, Delseny, Dominique, Khalid, Sara, Kim, Chungsoo, Kim, Ji-woo, Kostka, Kristin, Loste, Cora, Mateu, Lourdes, Mayer, Miguel A., Meléndez-Cardiel, Jaime, Mercadé-Besora, Núria, Mosseveld, Mees, Nishimura, Akihito, Nordeng, Hedvig M.E., Oyinlola, Jessie O., Pérez-Crespo, Laura, Pineda-Moncusí, Marta, Ramírez-Anguita, Juan Manuel, Trinh, Nhung T.H., Uusküla, Anneli, Valdivieso, Bernardo, Burkard, Theresa, Burn, Edward, Català, Martí, Prieto-Alhambra, Daniel, Paredes, Roger, Jödicke, Annika M.
Publikováno v:
In eClinicalMedicine November 2024 77
