Zobrazeno 1 - 10
of 1 243
pro vyhledávání: '"Enrico, M. P."'
Matrix models, as quantum mechanical systems without explicit spatial dependence, provide valuable insights into higher-dimensional gauge and gravitational theories, especially within the framework of string theory, where they can describe quantum bl
Externí odkaz:
http://arxiv.org/abs/2412.04133
Autor:
Eertmans, Jérome, Di Cicco, Nicola, Oestges, Claude, Jacques, Laurent, Vittuci, Enrico M., Degli-Esposti, Vittorio
Radio propagation modeling is essential in telecommunication research, as radio channels result from complex interactions with environmental objects. Recently, Machine Learning has been attracting attention as a potential alternative to computational
Externí odkaz:
http://arxiv.org/abs/2410.23773
Autor:
Brehm, Enrico M., Runkel, Ingo
In this paper we continue to investigate the lattice models obtained from 2d CFTs via the construction introduced in [arXiv:2112.01563]. On the side of the 2d CFT we consider the cloaking boundary condition relative to a fixed fusion category F of to
Externí odkaz:
http://arxiv.org/abs/2410.19938
Publikováno v:
Journal of Guidance Control and Dynamics, Vol.47, No.8, April 2024, pp. 1586-1601
Bayesian estimation with an explicit transitional prior is required for a tracking algorithm to be embedded in most multi-target tracking frameworks. This paper describes a novel approach capable of tracking maneuvering spacecraft with an explicit tr
Externí odkaz:
http://arxiv.org/abs/2410.18300
We analyze the problem of storing random pattern-label associations using two classes of continuous non-convex weights models, namely the perceptron with negative margin and an infinite-width two-layer neural network with non-overlapping receptive fi
Externí odkaz:
http://arxiv.org/abs/2410.06717
This work introduces TrajDiffuser, a compositional diffusion-based flexible and concurrent trajectory generator for 6 degrees of freedom powered descent guidance. TrajDiffuser is a statistical model that learns the multi-modal distributions of a data
Externí odkaz:
http://arxiv.org/abs/2410.04261
Autor:
Fang, Jie, Chen, Rui, Sharp, David, Renzi, Enrico M., Manna, Arnab, Kala, Abhinav, Mann, Sander A., Yao, Kan, Munley, Christopher, Rarick, Hannah, Tang, Andrew, Pumulo, Sinabu, Zheng, Yuebing, Menon, Vinod M., Alu, Andrea, Majumdar, Arka
High-quality (Q)-factor optical resonators with extreme temporal coherence are of both technological and fundamental importance in optical metrology, continuous-wave lasing, and semiconductor quantum optics. Despite extensive efforts in designing hig
Externí odkaz:
http://arxiv.org/abs/2409.02874
Autor:
Spavone, Marilena, Iodice, Enrichetta, Lohmann, Felipe S., Arnaboldi, Magda, Hilker, Michael, La Marca, Antonio, Calvi, Rosa, Cantiello, Michele, Corsini, Enrico M., D'Ago, Giuseppe, Forbes, Duncan A., Mirabile, Marco, Rejkuba, Marina
In this paper, we analyse the light distribution in the Hydra I cluster of galaxies to explore their low surface brightness features, measure the intra-cluster light, and address the assembly history of the cluster. For this purpose, we used deep wid
Externí odkaz:
http://arxiv.org/abs/2408.01501
Autor:
Lauditi, Clarissa, Malatesta, Enrico M., Pittorino, Fabrizio, Baldassi, Carlo, Brunel, Nicolas, Zecchina, Riccardo
Multiple neurophysiological experiments have shown that dendritic non-linearities can have a strong influence on synaptic input integration. In this work we model a single neuron as a two-layer computational unit with non-overlapping sign-constrained
Externí odkaz:
http://arxiv.org/abs/2407.07572
Autor:
Kalaj, Silvio, Lauditi, Clarissa, Perugini, Gabriele, Lucibello, Carlo, Malatesta, Enrico M., Negri, Matteo
It has been recently shown that a learning transition happens when a Hopfield Network stores examples generated as superpositions of random features, where new attractors corresponding to such features appear in the model. In this work we reveal that
Externí odkaz:
http://arxiv.org/abs/2407.05658