Zobrazeno 1 - 10
of 104 297
pro vyhledávání: '"Domingo, A"'
Deep generative models that learn from the distribution of natural protein sequences and structures may enable the design of new proteins with valuable functions. While the majority of today's models focus on generating either sequences or structures
Externí odkaz:
http://arxiv.org/abs/2410.01773
Autor:
Domingo-Enrich, Carles
Stochastic optimal control (SOC) aims to direct the behavior of noisy systems and has widespread applications in science, engineering, and artificial intelligence. In particular, reward fine-tuning of diffusion and flow matching models and sampling f
Externí odkaz:
http://arxiv.org/abs/2410.00345
Autor:
Khaldi, Rohaifa, Alcaraz-Segura, Domingo, Sánchez-Herrera, Ignacio, Martinez-Lopez, Javier, Navarro, Carlos Javier, Tabik, Siham
Social media images have shown to be a valuable source of information for understanding human interactions with important subjects such as cultural heritage, biodiversity and nature among others. The task of grouping such images into a number of sema
Externí odkaz:
http://arxiv.org/abs/2410.00275
We consider a class of elliptic quasivariational inequalities in a reflexive Banach space $X$ for which we recall a convergence criterion obtained in [10]. Each inequality $\cal P$ in the class is governed by a set of constraints $K$ and has a unique
Externí odkaz:
http://arxiv.org/abs/2409.16031
Autor:
Paxman, C. J., Matta, A., Catford, W. N., Lotay, G., Assié, M., Clément, E., Lemasson, A., Ramos, D., Orr, N. A., Galtarossa, F., Girard-Alcindor, V., Dudouet, J., Achouri, N. L., Ackermann, D., Barrientos, D., Beaumel, D., Bednarczyk, P., Benzoni, G., Bracco, A., Canete, L., Cederwall, B., Ciemala, M., Delahaye, P., Doherty, D. T., Domingo-Pardo, C., Fernández-Domínguez, B., Fernández, D., Flavigny, F., Fougères, C., de France, G., Franchoo, S., Gadea, A., Gibelin, J., González, V., Gottardo, A., Goyal, N., Hammache, F., Harkness-Brennan, L. J., Harrouz, D. S., Jacquot, B., Judson, D. S., Jungclaus, A., Kaşkaş, A., Korten, W., Labiche, M., Lalanne, L., Lenain, C., Leoni, S., Ljungvall, J., Lois-Fuentes, J., Lokotko, T., Lopez-Martens, A., Maj, A., Marqués, F. M., Martel, I., Menegazzo, R., Mengoni, D., Million, B., Nyberg, J., Pérez-Vidal, R. M., Plagnol, L., Podolyák, Zs., Pullia, A., Quintana, B., Regueira-Castro, D., Reiter, P., Rejmund, M., Rezynkina, K., Sanchis, E., Şenyiğit, M., de Séréville, N., Siciliano, M., Sohler, D., Stezowski, O., Thomas, J. -C., Utepov, A., Valiente-Dobón, J. J., Verney, D., Zielińska, M.
We present the first measurement of the $^{47}$K($d,p\gamma$)$^{48}$K transfer reaction, performed in inverse kinematics using a reaccelerated beam of $^{47}$K. The level scheme of $^{48}$K has been greatly extended with nine new bound excited states
Externí odkaz:
http://arxiv.org/abs/2409.12594
Autor:
Leon, Vasileios, Xynos, Anastasios, Soudris, Dimitrios, Lentaris, George, Domingo, Ruben, Perez, Arturo, Gonzalez-Arjona, David, Conway, Isabelle, Codinachs, David Merodio
The emergence of demanding space applications has modified the traditional landscape of computing systems in space. When reliability is a first-class concern, in addition to enhanced performance-per-Watt, radiation-hardened FPGAs are favored. In this
Externí odkaz:
http://arxiv.org/abs/2409.12253
Autor:
Torres-Sánchez, Pablo, Lerendegui-Marco, Jorge, Balibrea-Correa, Javier, Babiano-Suárez, Victor, Gameiro, Bernardo, Ladarescu, Ion, Álvarez-Rodríguez, Patricia, Daugas, Jean-Michel, Koester, Ulli, Michelagnoli, Caterina, Pedrosa-Rivera, Maria, Porras, Ignacio, Ruiz-Magaña, Maria José, Ruiz-Ruiz, Carmen, Domingo-Pardo, César
This paper explores the adaptation and application of i-TED Compton imagers for real-time dosimetry in Boron Neutron Capture Therapy (BNCT). The i-TED array, previously utilized in nuclear astrophysics experiments at CERN, is being optimized for dete
Externí odkaz:
http://arxiv.org/abs/2409.10107
Dynamical generative models that produce samples through an iterative process, such as Flow Matching and denoising diffusion models, have seen widespread use, but there has not been many theoretically-sound methods for improving these models with rew
Externí odkaz:
http://arxiv.org/abs/2409.08861
Autor:
Lerendegui-Marco, J., Balibrea-Correa, J., Álvarez-Rodríguez, P., Babiano-Suárez, V., Gameiro, B., Ladarescu, I., Méndez-Malagón, C., Michelagnoli, C., Porras, I., Porras-Quesada, M., Ruiz-Ruiz, C., Torres-Sánchez, P., Domingo-Pardo, C.
Dosimetry in BNCT poses significant challenges due to the indirect effect of neutrons interacting with elements within the body and uncertainties associated with the uptake of boron compounds used in clinical practice. Current treatment planning reli
Externí odkaz:
http://arxiv.org/abs/2409.05687
Autor:
Pulgar, Sebastian, Mery, Domingo
In recent years, facial recognition (FR) models have become the most widely used biometric tool, achieving impressive results on numerous datasets. However, inherent hardware challenges or shooting distances often result in low-resolution images, whi
Externí odkaz:
http://arxiv.org/abs/2409.03530