Zobrazeno 1 - 10
of 2 000
pro vyhledávání: '"Fioretto P"'
Autor:
Bouvet, Pierre, Bevilacqua, Carlo, Ambekar, Yogeshwari, Antonacci, Giuseppe, Au, Joshua, Caponi, Silvia, Chagnon-Lessard, Sophie, Czarske, Juergen, Dehoux, Thomas, Fioretto, Daniele, Fu, Yujian, Guck, Jochen, Hamann, Thorsten, Heinemann, Dag, Jähnke, Torsten, Jean-Ruel, Hubert, Kabakova, Irina, Koski, Kristie, Koukourakis, Nektarios, Krause, David, Cavera III, Salvatore La, Landes, Timm, Li, Jinhao, Margueritat, Jeremie, Mattarelli, Maurizio, Monaghan, Michael, Overby, Darryl R., Perez-Cota, Fernando, Pontecorvo, Emanuele, Prevedel, Robert, Ruocco, Giancarlo, Sandercock, John, Scarcelli, Giuliano, Scarponi, Filippo, Testi, Claudia, Török, Peter, Vovard, Lucie, Weninger, Wolfgang, Yakovlev, Vladislav, Yun, Seok-Hyun, Zhang, Jitao, Palombo, Francesca, Bilenca, Alberto, Elsayad, Kareem
Brillouin Light Scattering (BLS) spectroscopy is a non-invasive, non-contact, label-free optical technique that can provide information on the mechanical properties of a material on the sub-micron scale. Over the last decade it has seen increased app
Externí odkaz:
http://arxiv.org/abs/2411.11712
This chapter is meant to be part of the book "Differential Privacy in Artificial Intelligence: From Theory to Practice" and provides an introduction to Differential Privacy. It starts by illustrating various attempts to protect data privacy, emphasiz
Externí odkaz:
http://arxiv.org/abs/2411.04710
Autor:
Huet, H., Ramesh, P. R., Wein, S. C., Coste, N., Hilaire, P., Somaschi, N., Morassi, M., Lemaître, A., Sagnes, I., Doty, M. F., Krebs, O., Lanco, L., Fioretto, D. A., Senellart, P.
Measurement-based quantum computing offers a promising route towards scalable, universal photonic quantum computation. This approach relies on the deterministic and efficient generation of photonic graph states in which many photons are mutually enta
Externí odkaz:
http://arxiv.org/abs/2410.23518
Recent developments in applying machine learning to address Alternating Current Optimal Power Flow (AC OPF) problems have demonstrated significant potential in providing close to optimal solutions for generator dispatch in near real-time. While these
Externí odkaz:
http://arxiv.org/abs/2410.19157
Criminal courts across the United States handle millions of cases every year, and the scheduling of those cases must accommodate a diverse set of constraints, including the preferences and availability of courts, prosecutors, and defense teams. When
Externí odkaz:
http://arxiv.org/abs/2410.17415
Autor:
Coste, N., Fioretto, D. A., Thomas, S. E., Wein, S. C., Ollivier, H., Wenniger, I. Maillette de Buy, Henry, A., Belabas, N., Harouri, A., Lemaitre, A., Sagnes, I., Somaschi, N., Krebs, O., Lanco, L., Senellart, P.
The frequency or color of photons is an attractive degree of freedom to encode and distribute the quantum information over long distances. However, the generation of frequency-encoded photonic qubits has so far relied on probabilistic non-linear sing
Externí odkaz:
http://arxiv.org/abs/2410.03454
Differential equations (DE) constrained optimization plays a critical role in numerous scientific and engineering fields, including energy systems, aerospace engineering, ecology, and finance, where optimal configurations or control strategies must b
Externí odkaz:
http://arxiv.org/abs/2410.01786
Autor:
Kotary, James, Di Vito, Vincenzo, Cristopher, Jacob, Van Hentenryck, Pascal, Fioretto, Ferdinando
The Predict-Then-Optimize framework uses machine learning models to predict unknown parameters of an optimization problem from exogenous features before solving. This setting is common to many real-world decision processes, and recently it has been s
Externí odkaz:
http://arxiv.org/abs/2409.04898
Statistical agencies rely on sampling techniques to collect socio-demographic data crucial for policy-making and resource allocation. This paper shows that surveys of important societal relevance introduce sampling errors that unevenly impact group-l
Externí odkaz:
http://arxiv.org/abs/2408.08471
Speculative decoding has emerged as a widely adopted method to accelerate large language model inference without sacrificing the quality of the model outputs. While this technique has facilitated notable speed improvements by enabling parallel sequen
Externí odkaz:
http://arxiv.org/abs/2408.05636