Zobrazeno 1 - 10
of 99
pro vyhledávání: '"Bernabe Moreno"'
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, Belyi, Alexander J., Bessa, Ricardo J., Bhattarai, 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:
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
Publikováno v:
PLoS ONE, Vol 13, Iss 7, p e0200414 (2018)
INTRODUCTION:Feline obesity is a worldwide concern which has recently been formally classified as a disease by the veterinary community. Management involves invoking controlled weight loss by feeding a purpose-formulated food in restricted quantities
Externí odkaz:
https://doaj.org/article/aabcf384ef7843a3901557dad75862ff
Autor:
John Flanagan, Thomas Bissot, Marie-Anne Hours, Bernabe Moreno, Alexandre Feugier, Alexander J German
Publikováno v:
PLoS ONE, Vol 12, Iss 9, p e0184199 (2017)
Obesity is a global concern in dogs with an increasing prevalence, and effective weight loss solutions are required that work in different geographical regions. The main objective was to conduct an international, multi-centre, weight loss trial to de
Externí odkaz:
https://doaj.org/article/635fea230734453eb0c2eaf0caad9891
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
Autor:
Agliardi, Gabriele, O'Meara, Corey, Yogaraj, Kavitha, Ghosh, Kumar, Sabino, Piergiacomo, Fernández-Campoamor, Marina, Cortiana, Giorgio, Bernabé-Moreno, Juan, Tacchino, Francesco, Mezzacapo, Antonio, Shehab, Omar
Computing nonlinear functions over multilinear forms is a general problem with applications in risk analysis. For instance in the domain of energy economics, accurate and timely risk management demands for efficient simulation of millions of scenario
Externí odkaz:
http://arxiv.org/abs/2304.10385
Autor:
Mayer, Kevin, Haas, Lukas, Huang, Tianyuan, Bernabé-Moreno, Juan, Rajagopal, Ram, Fischer, Martin
Current methods to determine the energy efficiency of buildings require on-site visits of certified energy auditors which makes the process slow, costly, and geographically incomplete. To accelerate the identification of promising retrofit targets on
Externí odkaz:
http://arxiv.org/abs/2206.02270
Autor:
Gómez, Raúl Berganza, O'Meara, Corey, Cortiana, Giorgio, Mendl, Christian B., Bernabé-Moreno, Juan
Publikováno v:
2022 IEEE 19th International Conference on Software Architecture Companion (ICSA-C), 129-136 (2022)
The learning process of classical machine learning algorithms is tuned by hyperparameters that need to be customized to best learn and generalize from an input dataset. In recent years, Quantum Machine Learning (QML) has been gaining traction as a po
Externí odkaz:
http://arxiv.org/abs/2202.08024
Autor:
Sakhnenko, Alona, O'Meara, Corey, Ghosh, Kumar J. B., Mendl, Christian B., Cortiana, Giorgio, Bernabé-Moreno, Juan
Publikováno v:
Quantum Mach. Intell. 4, 27 (2022)
We propose a Hybrid classical-quantum Autoencoder (HAE) model, which is a synergy of a classical autoencoder (AE) and a parametrized quantum circuit (PQC) that is inserted into its bottleneck. The PQC augments the latent space, on which a standard ou
Externí odkaz:
http://arxiv.org/abs/2112.08869
Autor:
Fernández-Campoamor, Marina, O'Meara, Corey, Cortiana, Giorgio, Peric, Vedran, Bernabé-Moreno, Juan
With the increase of intermittent renewable generation resources feeding into the electrical grid, Distribution System Operators (DSOs) must find ways to incorporate these new actors and adapt the grid to ensure stability and enable flexibility. Divi
Externí odkaz:
http://arxiv.org/abs/2112.08300