Zobrazeno 1 - 10
of 2 004
pro vyhledávání: '"Fioretto P."'
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
Networks are crucial components of many sectors, including telecommunications, healthcare, finance, energy, and transportation.The information carried in such networks often contains sensitive user data, like location data for commuters and packet da
Externí odkaz:
http://arxiv.org/abs/2408.05246
Autor:
Donne, Carlo Delle, Iuliano, Mariagrazia, van der Vecht, Bart, Ferreira, Guilherme Maciel, Jirovská, Hana, van der Steenhoven, Thom, Dahlberg, Axel, Skrzypczyk, Matt, Fioretto, Dario, Teller, Markus, Filippov, Pavel, Montblanch, Alejandro Rodríguez-Pardo, Fischer, Julius, van Ommen, Benjamin, Demetriou, Nicolas, Leichtle, Dominik, Music, Luka, Ollivier, Harold, Raa, Ingmar te, Kozlowski, Wojciech, Taminiau, Tim, Pawełczak, Przemysław, Northup, Tracy, Hanson, Ronald, Wehner, Stephanie
The goal of future quantum networks is to enable new internet applications that are impossible to achieve using solely classical communication. Up to now, demonstrations of quantum network applications and functionalities on quantum processors have b
Externí odkaz:
http://arxiv.org/abs/2407.18306
The principle of data minimization aims to reduce the amount of data collected, processed or retained to minimize the potential for misuse, unauthorized access, or data breaches. Rooted in privacy-by-design principles, data minimization has been endo
Externí odkaz:
http://arxiv.org/abs/2405.19471
Autor:
Das, Saswat, Romanelli, Marco, Tran, Cuong, Reza, Zarreen, Kailkhura, Bhavya, Fioretto, Ferdinando
Low-rank approximation techniques have become the de facto standard for fine-tuning Large Language Models (LLMs) due to their reduced computational and memory requirements. This paper investigates the effectiveness of these methods in capturing the s
Externí odkaz:
http://arxiv.org/abs/2405.18572
Recent work has shown a variety of ways in which machine learning can be used to accelerate the solution of constrained optimization problems. Increasing demand for real-time decision-making capabilities in applications such as artificial intelligenc
Externí odkaz:
http://arxiv.org/abs/2404.00882