Zobrazeno 1 - 10
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pro vyhledávání: '"Franzese, A"'
Diffusion models for Text-to-Image (T2I) conditional generation have seen tremendous success recently. Despite their success, accurately capturing user intentions with these models still requires a laborious trial and error process. This challenge is
Externí odkaz:
http://arxiv.org/abs/2405.20759
Water's unique anomalies are vital in various applications and biological processes, yet the molecular mechanisms behind these anomalies remain debated, particularly in the metastable liquid phase under supercooling and stretching conditions. Experim
Externí odkaz:
http://arxiv.org/abs/2405.10181
Learning from Interactive Demonstrations has revolutionized the way non-expert humans teach robots. It is enough to kinesthetically move the robot around to teach pick-and-place, dressing, or cleaning policies. However, the main challenge is correctl
Externí odkaz:
http://arxiv.org/abs/2404.13458
Autor:
Christophorou, Christophoros, Ioannou, Iacovos, Vassiliou, Vasos, Christofi, Loizos, Vardakas, John S, Seder, Erin E, Chiasserini, Carla Fabiana, Iordache, Marius, Issaid, Chaouki Ben, Markopoulos, Ioannis, Franzese, Giulio, Järvet, Tanel, Verikoukis, Christos
In the upcoming 6G era, mobile networks must deal with more challenging applications (e.g., holographic telepresence and immersive communication) and meet far more stringent application requirements stemming along the edge-cloud continuum. These new
Externí odkaz:
http://arxiv.org/abs/2403.05277
The analysis of scientific data and complex multivariate systems requires information quantities that capture relationships among multiple random variables. Recently, new information-theoretic measures have been developed to overcome the shortcomings
Externí odkaz:
http://arxiv.org/abs/2402.05667
Autor:
Franzese, Olive, Dziedzic, Adam, Choquette-Choo, Christopher A., Thomas, Mark R., Kaleem, Muhammad Ahmad, Rabanser, Stephan, Fang, Congyu, Jha, Somesh, Papernot, Nicolas, Wang, Xiao
Collaborative machine learning (ML) is widely used to enable institutions to learn better models from distributed data. While collaborative approaches to learning intuitively protect user data, they remain vulnerable to either the server, the clients
Externí odkaz:
http://arxiv.org/abs/2310.16678
In this work we present a new method for the estimation of Mutual Information (MI) between random variables. Our approach is based on an original interpretation of the Girsanov theorem, which allows us to use score-based diffusion models to estimate
Externí odkaz:
http://arxiv.org/abs/2310.09031
Autor:
Spinozzi, Francesco, Moretti, Paolo, Perinelli, Diego Romano, Corucci, Giacomo, Piergiovanni, Paolo, Amenitsch, Heinz, Sancini, Giulio Alfredo, Franzese, Giancarlo, Blasi, Paolo
Lipid nanoparticles own a remarkable potential in nanomedicine, only partially disclosed. While the clinical use of liposomes and cationic lipid-nucleic acid complexes is well-established, liquid lipid nanoparticles (nanoemulsions), solid lipid nanop
Externí odkaz:
http://arxiv.org/abs/2309.12679
Autor:
Cosier, Lucas, Iordan, Rares, Zwane, Sicelukwanda, Franzese, Giovanni, Wilson, James T., Deisenroth, Marc Peter, Terenin, Alexander, Bekiroglu, Yasemin
Publikováno v:
Artificial Intelligence and Statistics, 2024
To control how a robot moves, motion planning algorithms must compute paths in high-dimensional state spaces while accounting for physical constraints related to motors and joints, generating smooth and stable motions, avoiding obstacles, and prevent
Externí odkaz:
http://arxiv.org/abs/2309.00854
Autor:
Fatemeh Taktaz, Rosaria Anna Fontanella, Lucia Scisciola, Ada Pesapane, Manuela Giovanna Basilicata, Puja Ghosh, Martina Franzese, Giovanni Tortorella, Armando Puocci, Maria Teresa Vietri, Annalisa Capuano, Giuseppe Paolisso, Michelangela Barbieri
Publikováno v:
Cardiovascular Diabetology, Vol 23, Iss 1, Pp 1-13 (2024)
Abstract Tirzepatide is a new drug targeting glucagon-like peptide 1(GLP1) and gastric inhibitory polypeptide (GIP) receptors. This drug has demonstrated great potential in improving the clinical outcomes of patients with type 2 diabetes. It can lead
Externí odkaz:
https://doaj.org/article/4ca156c215ba43d686dcdf0858b6834f