Zobrazeno 1 - 10
of 9 283
pro vyhledávání: '"Á. Arango"'
We consider three isogeny invariants of abelian varieties over finite fields: the Galois group, Newton polygon, and the angle rank. Motivated by work of Dupuy, Kedlaya, and Zureick-Brown, we define a new invariant called the weighted permutation repr
Externí odkaz:
http://arxiv.org/abs/2412.03358
Autor:
Arango, Sebastian Pineda, Janowski, Maciej, Purucker, Lennart, Zela, Arber, Hutter, Frank, Grabocka, Josif
Finetuning is a common practice widespread across different communities to adapt pretrained models to particular tasks. Text classification is one of these tasks for which many pretrained models are available. On the other hand, ensembles of neural n
Externí odkaz:
http://arxiv.org/abs/2410.19889
In integrated power and gas energy system optimization models (ESOMs), pipeline gas transmission with linepack is a particularly complex problem due to its non-linear and non-convex character. For ESOMs based on mixed-integer linear programing, piece
Externí odkaz:
http://arxiv.org/abs/2410.19280
We present and analyze a mathematical model to study the feedback between behavior and epidemic spread in a population that is actively assessing and reacting to risk of infection. In our model, a population dynamically forms an opinion that reflects
Externí odkaz:
http://arxiv.org/abs/2410.12993
Autor:
Rodriguez, Marta Veganzones, Phan, Thinh, Fernandes, Arthur F. A., Breen, Vivian, Arango, Jesus, Kidd, Michael T., Le, Ngan
Chick sexing, the process of determining the gender of day-old chicks, is a critical task in the poultry industry due to the distinct roles that each gender plays in production. While effective traditional methods achieve high accuracy, color, and wi
Externí odkaz:
http://arxiv.org/abs/2410.09155
Autor:
Shuntov, M., Ilbert, O., Toft, S., Arango-Toro, R. C., Akins, H. B., Casey, C. M., Franco, M., Harish, S., Kartaltepe, J. S., Koekemoer, A. M., McCracken, H. J., Paquereau, L., Laigle, C., Bethermin, M., Dubois, Y., Drakos, N. E., Faisst, A., Gozaliasl, G., Gillman, S., Hayward, C. C., Hirschmann, M., Huertas-Company, M., Jespersen, C. K., Jin, S., Kokorev, V., Lambrides, E., Borgne, D. Le, Liu, D., Magdis, G., Massey, R., McPartland, C. J. R., Mercier, W., McCleary, J. E., McKinney, J., Oesch, P. A., Rhodes, J. D., Rich, R. M., Robertson, B. E., Sanders, D., Trebitsch, M., Tresse, L., Valentino, F., Vijayan, A. P., Weaver, J. R., Weibel, A., Wilkins, S. M.
We study the stellar mass function (SMF) and the co-evolution with dark matter halos via abundance matching in the largest redshift range to date $0.25$, we find increas
Externí odkaz:
http://arxiv.org/abs/2410.08290
Autor:
Arango-Toro, R. C., Ilbert, O., Ciesla, L., Shuntov, M., Aufort, G., Mercier, W., Laigle, C., Franco, M., Bethermin, M., Borgne, D. Le, Dubois, Y., McCracken, H. J., Paquereau, L., Huertas-Company, M., Kartaltepe, J., Casey, C. M., Akins, H., Allen, N., Andika, I., Brinch, M., Drakos, N. E., Faisst, A., Gozaliasl, G., Harish, S., Kaminsky, A., Koekemoer, A., Kokorev, V., Liu, D., Magdis, G., Martin, C. L., Moutard, T., Rhodes, J., Rich, R. M., Robertson, B., Sanders, D. B., Sheth, K., Talia, M., Toft, S., Tresse, L., Valentino, F., Vijayan, A., Weaver, J.
The stellar mass-star formation rate (M$_\star$ - SFR) plane is essential for distinguishing galaxy populations, but how galaxies move within this plane over cosmic time remains unclear. This study aims to describe galaxy migrations in the M$_\star$
Externí odkaz:
http://arxiv.org/abs/2410.05375
Autor:
Arango, Sebastian Pineda, Janowski, Maciej, Purucker, Lennart, Zela, Arber, Hutter, Frank, Grabocka, Josif
Ensemble methods are known for enhancing the accuracy and robustness of machine learning models by combining multiple base learners. However, standard approaches like greedy or random ensembles often fall short, as they assume a constant weight acros
Externí odkaz:
http://arxiv.org/abs/2410.04520
Autor:
Aufort, G., Laigle, C., McCracken, H. J., Borgne, D. Le, Arango-Toro, R., Ciesla, L., Ilbert, O., Tresse, L., Dubois, Y.
We propose a novel method to reconstruct the full posterior distribution of the star formation histories (SFHs) of galaxies from broad-band photometry. Our method combines simulation-based inference (SBI) using a neural network trained with SFHs and
Externí odkaz:
http://arxiv.org/abs/2410.00795
In this work, we study the function $f_2(G)$ that counts the number of exact factorizations of a finite group $G$. We compute $f_2(G)$ for some well-known families of finite groups and use the results of Wiegold and Williamson \cite{WW} to derive an
Externí odkaz:
http://arxiv.org/abs/2409.10428