Zobrazeno 1 - 10
of 6 505
pro vyhledávání: '"Moreno,Juan A."'
Autor:
Roy, Sujit, Singh, Talwinder, Freitag, Marcus, Schmude, Johannes, Lal, Rohit, Hegde, Dinesha, Ranjan, Soumya, Lin, Amy, Gaur, Vishal, Vos, Etienne Eben, Ghosal, Rinki, Patro, Badri Narayana, Aydin, Berkay, Pogorelov, Nikolai, Moreno, Juan Bernabe, Maskey, Manil, Ramachandran, Rahul
Deep learning-based methods have been widely researched in the areas of language and vision, demonstrating their capacity to understand long sequences of data and their usefulness in numerous helio-physics applications. Foundation models (FMs), which
Externí odkaz:
http://arxiv.org/abs/2410.10841
Autor:
Schmude, Johannes, Roy, Sujit, Trojak, Will, Jakubik, Johannes, Civitarese, Daniel Salles, Singh, Shraddha, Kuehnert, Julian, Ankur, Kumar, Gupta, Aman, Phillips, Christopher E, Kienzler, Romeo, Szwarcman, Daniela, Gaur, Vishal, Shinde, Rajat, Lal, Rohit, Da Silva, Arlindo, Diaz, Jorge Luis Guevara, Jones, Anne, Pfreundschuh, Simon, Lin, Amy, Sheshadri, Aditi, Nair, Udaysankar, Anantharaj, Valentine, Hamann, Hendrik, Watson, Campbell, Maskey, Manil, Lee, Tsengdar J, Moreno, Juan Bernabe, Ramachandran, Rahul
Triggered by the realization that AI emulators can rival the performance of traditional numerical weather prediction models running on HPC systems, there is now an increasing number of large AI models that address use cases such as forecasting, downs
Externí odkaz:
http://arxiv.org/abs/2409.13598
Autor:
Hamann, Hendrik F., Brunschwiler, Thomas, Gjorgiev, Blazhe, Martins, Leonardo S. A., Puech, Alban, Varbella, Anna, Weiss, Jonas, Bernabe-Moreno, Juan, Massé, Alexandre Blondin, Choi, Seong, Foster, Ian, Hodge, Bri-Mathias, Jain, Rishabh, Kim, Kibaek, Mai, Vincent, Mirallès, François, De Montigny, Martin, Ramos-Leaños, Octavio, Suprême, Hussein, Xie, Le, Youssef, El-Nasser S., Zinflou, Arnaud, Belvi, Alexander J., Bessa, Ricardo J., Bhattari, Bishnu Prasad, Schmude, Johannes, Sobolevsky, Stanislav
Foundation models (FMs) currently dominate news headlines. They employ advanced deep learning architectures to extract structural information autonomously from vast datasets through self-supervision. The resulting rich representations of complex syst
Externí odkaz:
http://arxiv.org/abs/2407.09434
Autor:
Villena-Rodríguez, Alejandro, Gómez, Gerardo, Aguayo-Torres, Mari Carmen, Martín-Vega, Francisco J., Outes-Carnero, José, Ng-Molina, F. Yak, Ramiro-Moreno, Juan
The uplink of 5G networks allows selecting the transmit waveform between cyclic prefix orthogonal frequency division multiplexing (CP-OFDM) and discrete Fourier transform spread OFDM (DFT-S-OFDM), which is appealing for cell-edge users using high-fre
Externí odkaz:
http://arxiv.org/abs/2406.13675
The hybridisation of robot-assisted gait training and functional electrical stimulation (FES) can provide numerous physiological benefits to neurological patients. However, the design of an effective hybrid controller poses significant challenges. In
Externí odkaz:
http://arxiv.org/abs/2402.00775
Autor:
Albers, Roland, Andrews, Henrik, Boccacci, Gabriele, Pires, Vasco D. C, Laddha, Sunny, Lundén, Ville, Maraqten, Nadim, Matias, João, Krämer, Eva, Schulz, Leonard, Palanca, Ines Terraza, Teubenbacher, Daniel, Baskevitch, Claire, Covella, Francesca, Cressa, Luca, Moreno, Juan Garrido, Gillmayr, Jana, Hollowood, Joshua, Huber, Kilian, Kutnohorsky, Viktoria, Lennerstrand, Sofia, Malatinszky, Adel, Manzini, Davide, Maurer, Manuel, Nidele, Daiana Maria Alessandra, Rigon, Luca, Sinjan, Jonas, Suarez, Crisel, Viviano, Mirko, Knutsen, Elise Wright
Induced magnetospheres form around planetary bodies with atmospheres through the interaction of the solar wind with their ionosphere. Induced magnetospheres are highly dependent on the solar wind conditions and have only been studied with single spac
Externí odkaz:
http://arxiv.org/abs/2312.07167
Autor:
Moreno, Juan José, Puertas-Martín, Savíns, Redondo, Juana L., Ortigosa, Pilar M., Zawadzka, Anna, Kukolowicz, Pawel, Szmurło, Robert, Kaliszewski, Ignacy, Miroforidis, Janusz, Garzón, Ester M.
Intensity Modulated Radiation Therapy is an effective cancer treatment. Models based on the Generalized Equivalent Uniform Dose (gEUD) provide radiation plans with excellent planning target volume coverage and low radiation for organs at risk. Howeve
Externí odkaz:
http://arxiv.org/abs/2311.10272
Autor:
Pekaslan, Direnc, Alonso-Moral, Jose Maria, Bandara, Kasun, Bergmeir, Christoph, Bernabe-Moreno, Juan, Eigenmann, Robert, Einecke, Nils, Ergen, Selvi, Godahewa, Rakshitha, Hewamalage, Hansika, Lago, Jesus, Limmer, Steffen, Rebhan, Sven, Rabinovich, Boris, Rajapasksha, Dilini, Song, Heda, Wagner, Christian, Wu, Wenlong, Magdalena, Luis, Triguero, Isaac
This paper presents the real-world smart-meter dataset and offers an analysis of solutions derived from the Energy Prediction Technical Challenges, focusing primarily on two key competitions: the IEEE Computational Intelligence Society (IEEE-CIS) Tec
Externí odkaz:
http://arxiv.org/abs/2311.04007
Autor:
Ghosh, Kumar J. B., Yogaraj, Kavitha, Agliardi, Gabriele, Sabino, Piergiacomo, Fernández-Campoamor, Marina, Bernabé-Moreno, Juan, Cortiana, Giorgio, Shehab, Omar, O'Meara, Corey
We generalize the Approximate Quantum Compiling algorithm into a new method for CNOT-depth reduction, which is apt to process wide target quantum circuits. Combining this method with state-of-the-art techniques for error mitigation and circuit compil
Externí odkaz:
http://arxiv.org/abs/2305.09501