Zobrazeno 1 - 10
of 26 540
pro vyhledávání: '"Morgado, A"'
Autor:
Pereira, C. L., Braga-Ribas, F., Sicardy, B., Morgado, B. E., Ortiz, J. L., Assafin, M., Miles, R., Desmars, J., Camargo, J. I. B., Benedetti-Rossi, G., Kretlow, M., Vieira-Martins, R.
Comets offer valuable insights into the early Solar System's conditions and processes. Stellar occultations enables detailed study of cometary nuclei typically hidden by their coma. Observing the star's light passing through the coma helps infer dust
Externí odkaz:
http://arxiv.org/abs/2411.16358
Masked Image Modeling (MIM) has emerged as a powerful self-supervised learning paradigm for visual representation learning, enabling models to acquire rich visual representations by predicting masked portions of images from their visible regions. Whi
Externí odkaz:
http://arxiv.org/abs/2411.10685
By defining an analogous stochastic quantity called Stochastic Fisher Information (SFI), we uncover two fluctuation relations with an inherent geometric nature, as the SFI acts as a single nonequilibrium trajectory metric. The geometric nature of the
Externí odkaz:
http://arxiv.org/abs/2410.23939
Our work tackles the computational challenges of contrastive learning methods, particularly for the pretraining of Vision Transformers (ViTs). Despite the effectiveness of contrastive learning, the substantial computational resources required for tra
Externí odkaz:
http://arxiv.org/abs/2410.22364
Autor:
Kretlow, M., Ortiz, J. L., Desmars, J., Morales, N., Rommel, F. L., Santos-Sanz, P., Vara-Lubiano, M., Fernández-Valenzuela, E., Alvarez-Candal, A., Duffard, R., Braga-Ribas, F., Sicardy, B., Castro-Tirado, A., Fernández-García, E. J., Sánchez, M., Sota, A., Assafin, M., Benedetti-Rossi, G., Boufleur, R., Camargo, J. I. B., Cikota, S., Gomes-Junior, A., Gómez-Limón, J. M., Kilic, Y., Lecacheux, J., Leiva, R., Marques-Oliveira, J., Morales, R., Morgado, B., Rizos, J. L., Roques, F., Souami, D., Vieira-Martins, R., Alarcon, M. R., Boninsegna, R., Çakır, O., Casarramona, F., Castellani, J. J., de la Cueva, I., Fişek, S., Guijarro, A., Haymes, T., Jehin, E., Kidd, S., Licandro, J., Maestre, J. L., Murgas, F., Pallé, E., Popescu, M., Pratt, A., Serra-Ricart, M., Talbot, J. C.
Trans-Neptunian objects (TNOs) are considered to be among the most primitive objects in our Solar System. Knowledge of their primary physical properties is essential for understanding their origin and the evolution of the outer Solar System. We predi
Externí odkaz:
http://arxiv.org/abs/2410.00561
Contrastive image-text pre-trained models such as CLIP have shown remarkable adaptability to downstream tasks. However, they face challenges due to the high computational requirements of the Vision Transformer (ViT) backbone. Current strategies to bo
Externí odkaz:
http://arxiv.org/abs/2409.14607
In this project, we employ the short-distance factorization to compute the distribution amplitude of the $\eta_c$-meson from Lattice QCD at leading twist. We employ a set of CLS $N_f=2$ ensembles at three lattice spacings and various quark masses to
Externí odkaz:
http://arxiv.org/abs/2409.12084
The formalism of short-distance factorization, conveyed through the pseudo-distribution approach, connects space-like and light-cone correlators and thus allows for the extraction in lattice QCD of a number of parton distributions. We compute the $t$
Externí odkaz:
http://arxiv.org/abs/2409.03609
Autor:
Morgado, F. F., Stephenson, L. T., Bhatt, S., Freysoldt, C., Neumeier, S., Katnagallu, S., Subramanyam, A. P. A., Pietka, I., Hammerschmidt, T., Vurpillot, F., Gault, B.
Stacking faults (SF) are important structural defects that play an essential role in the deformation of engineering alloys. However, direct observation of stacking faults at the atomic scale can be challenging. Here, we use the analytical field ion m
Externí odkaz:
http://arxiv.org/abs/2408.03167
Autor:
Colombo, Pierre, Pires, Telmo, Boudiaf, Malik, Melo, Rui, Culver, Dominic, Morgado, Sofia, Malaboeuf, Etienne, Hautreux, Gabriel, Charpentier, Johanne, Desa, Michael
In this paper, we introduce SaulLM-54B and SaulLM-141B, two large language models (LLMs) tailored for the legal sector. These models, which feature architectures of 54 billion and 141 billion parameters, respectively, are based on the Mixtral archite
Externí odkaz:
http://arxiv.org/abs/2407.19584