Zobrazeno 1 - 10
of 34 995
pro vyhledávání: '"Velasco, Á."'
Autor:
Velasco, Alejandro, Rodriguez-Cardenas, Daniel, Palacio, David N., Alif, Luftar Rahman, Poshyvanyk, Denys
Large Language Models (LLMs) have shown significant potential in automating software engineering tasks, particularly in code generation. However, current evaluation benchmarks, which primarily focus on accuracy, fall short in assessing the quality of
Externí odkaz:
http://arxiv.org/abs/2412.18989
We explore the production of gravitational waves (GW) resulting from a first-order phase transition (FOPT) in a non-minimally coupled `Dark Higgs Inflation' model. Utilizing a dark sector scalar field as the inflaton, we demonstrate how inflationary
Externí odkaz:
http://arxiv.org/abs/2412.17278
Autor:
Adhikari, Prabal, Ammon, Martin, Avancini, Sidney S., Ayala, Alejandro, Bandyopadhyay, Aritra, Blaschke, David, Braghin, Fabio L., Buividovich, Pavel, Cardoso, Rafael P., Cartwright, Casey, Castaño-Yepes, Jorge David, Chernodub, Maxim, Coppola, M., Das, Mayusree, Dutra, Mariana, Endrődi, Gergely, Fang, Jianjun, Farias, Ricardo L. S., Fraga, Eduardo S., Frazon, Arthur, Fukushima, Kenji, García-Muñoz, Juan D., Garnacho-Velasco, Eduardo, Dumm, D. Gomez, Grieninger, Sebastian, Gulminelli, Francesca, Hernandez, Juan, Islam, Chowdhury Aminul, Kaminski, Matthias, Kotov, Andrey, Krein, Gastão, Li, Jing, Lo, Pok Man, Loewe, Marcelo, Lourenço, Odilon, Markó, Gergely, Marquez, Kau D., Mizher, Ana, Mukhopadhyay, Banibrata, Muñoz, Enrique, Noguera, S., Nunes, Rodrigo M., Pais, Helena, Palhares, Letícia F., Providência, Constança, Raya, Alfredo, Restrepo, Tulio, Rojas, Juan Cristóbal, Scoccola, N. N., Scurto, Luigi, Sedrakian, Armen, Smith, Dominik, Tavares, William Rafael, Tejeda-Yeomans, Maria E., Timóteo, Varese S., Tolos, Laura, Villavicencio, Cristian, Weber, Fridolin, Yasui, Shigehiro, Zamora, Renato, Zuraiq, Zenia
Magnetic fields are ubiquitous across different physical systems of current interest; from the early Universe, compact astrophysical objects and heavy-ion collisions to condensed matter systems. A proper treatment of the effects produced by magnetic
Externí odkaz:
http://arxiv.org/abs/2412.18632
Piecewise omnigenous fields are stellarator magnetic fields that are optimized with respect to radial neoclassical transport thanks to a second adiabatic invariant that is piecewisely constant on the flux-surface. They are qualitatively different fro
Externí odkaz:
http://arxiv.org/abs/2412.14871
The coherent interaction between free electrons and optical fields can produce free-electron compression and push the temporal resolution of ultrafast electron microscopy to the attosecond regime. However, a large electron-light interaction is requir
Externí odkaz:
http://arxiv.org/abs/2412.03410
Autor:
O'Brien, Conor, Rodriguez-Cardenas, Daniel, Velasco, Alejandro, Palacio, David N., Poshyvanyk, Denys
The adoption of Large Language Models (LLMs) across multiple contexts has sparked interest in understanding how scaling model size might lead to behavioral changes, as LLMs can exhibit behaviors not observed in their smaller counterparts. Understandi
Externí odkaz:
http://arxiv.org/abs/2411.17927
Autor:
Uuk, Risto, Gutierrez, Carlos Ignacio, Guppy, Daniel, Lauwaert, Lode, Kasirzadeh, Atoosa, Velasco, Lucia, Slattery, Peter, Prunkl, Carina
Through a systematic review of academic literature, we propose a taxonomy of systemic risks associated with artificial intelligence (AI), in particular general-purpose AI. Following the EU AI Act's definition, we consider systemic risks as large-scal
Externí odkaz:
http://arxiv.org/abs/2412.07780
Autor:
Aharonian, F., Benkhali, F. Ait, Aschersleben, J., Ashkar, H., Backes, M., Martins, V. Barbosa, Batzofin, R., Becherini, Y., Berge, D., Bernlöhr, K., Bi, B., Böttcher, M., Boisson, C., Bolmont, J., de Lavergne, M. de Bony, Borowska, J., Bouyahiaoui, M., Brose, R., Brown, A., Brun, F., Bruno, B., Bulik, T., Burger-Scheidlin, C., Bylund, T., Casanova, S., Celic, J., Cerruti, M., Chand, T., Chandra, S., Chen, A., Chibueze, J., Chibueze, O., Collins, T., Cotter, G., Mbarubucyeye, J. Damascene, Devin, J., Djuvsland, J., Dmytriiev, A., Egberts, K., Einecke, S., Ernenwein, J. -P., Fegan, S., Feijen, K., Fontaine, G., Funk, S., Gabici, S., Gallant, Y. A., Glicenstein, J. F., Glombitza, J., Grolleron, G., Heß, B., Hofmann, W., Holch, T. L., Holler, M., Horns, D., Huang, Zhiqiu, Jamrozy, M., Jankowsky, F., Joshi, V., Jung-Richardt, I., Kasai, E., Katarzynski, K., Kerszberg, D., Khatoon, R., Khelifi, B., Kluzniak, W., Komin, Nu., Kosack, K., Kostunin, D., Kundu, A., Lang, R. G., Stum, S. Le, Leitl, F., Lemiere, A., Lemoine-Goumard, M., Lenain, J. -P., Leuschner, F., Luashvili, A., Mackey, J., Malyshev, D., Marandon, V., Marinos, P., Marti-Devesa, G., Marx, R., Meyer, M., Mitchell, A., Moderski, R., Moghadam, M. O., Mohrmann, L., Montanari, A., Moulin, E., de Naurois, M., Niemiec, J., Ohm, S., Olivera-Nieto, L., Wilhelmi, E. de Ona, Ostrowski, M., Panny, S., Panter, M., Parsons, D., Pensec, U., Peron, G., Pühlhofer, G., Punch, M., Quirrenbach, A., Ravikularaman, S., Regeard, M., Reimer, A., Reimer, O., Reis, I., Ren, H., Reville, B., Rieger, F., Rowell, G., Rudak, B., Ruiz-Velasco, E., Sahakian, V., Salzmann, H., Santangelo, A., Sasaki, M., Schäfer, J., Schüssler, F., Schutte, H. M., Shapopi, J. N. S., Sharma, A., Sol, H., Spencer, S., Stawarz, L., Steinmassl, S., Steppa, C., Suzuki, H., Takahashi, T., Tanaka, T., Taylor, A. M., Terrier, R., Tsirou, M., van Eldik, C., Vecchi, M., Venter, C., Vink, J., Wach, T., Wagner, S. J., Wierzcholska, A., Zacharias, M., Zdziarski, A. A., Zech, A., Zywucka, N.
Publikováno v:
Phys. Rev. Lett. 133, 221001 (2024)
Owing to their rapid cooling rate and hence loss-limited propagation distance, cosmic-ray electrons and positrons (CRe) at very high energies probe local cosmic-ray accelerators and provide constraints on exotic production mechanisms such as annihila
Externí odkaz:
http://arxiv.org/abs/2411.08189
Graph neural networks (GNNs) provide state-of-the-art results in a wide variety of tasks which typically involve predicting features at the vertices of a graph. They are built from layers of graph convolutions which serve as a powerful inductive bias
Externí odkaz:
http://arxiv.org/abs/2411.04265
We study spurious second-order stationary points and local minima in a nonconvex low-rank formulation of sum-of-squares optimization on a real variety $X$. We reformulate the problem of finding a spurious local minimum in terms of syzygies of the und
Externí odkaz:
http://arxiv.org/abs/2411.02208