Zobrazeno 1 - 10
of 2 746
pro vyhledávání: '"VAN HOOF, P."'
Autor:
van Dalen, Joyce N. D., Levan, Andrew J., Jonker, Peter G., Malesani, Daniele B., Izzo, Luca, Sarin, Nikhil, Quirola-Vásquez, Jonathan, Sánchez, Daniel Mata, Postigo, Antonio de Ugarte, van Hoof, Agnes P. C., Torres, Manuel A. P., Schulze, Steve, Littlefair, Stuart P., Chrimes, Ashley, Ravasio, Maria E., Bauer, Franz E., Martin-Carrillo, Antonio, Fraser, Morgan, van der Horst, Alexander J., Jakobsson, Pall, O'Brien, Paul, De Pasquale, Massimiliano, Pugliese, Giovanna, Sollerman, Jesper, Tanvir, Nial R., Zafar, Tayyaba, Anderson, Joseph P., Galbany, Lluís, Gal-Yam, Avishay, Gromadzki, Mariusz, Muller-Bravo, Tomas E., Ragosta, Fabio, Terwel, Jacco H.
Detections of fast X-ray transients (FXTs) have been accrued over the last few decades. However, their origin has remained mysterious. There is now rapid progress thanks to timely discoveries and localisations with the Einstein Probe mission. Early r
Externí odkaz:
http://arxiv.org/abs/2409.19056
Autor:
Van de Steene, Griet, van Hoof, Peter, Kimeswenger, Stefan, Hajduk, Marcin, Tafoya, Daniel, Toala, Jesus, Zijlstra, Albert, Barria, Daniela
Optical spectra of the Very Late Thermal Pulse (VLTP) object V4334 Sgr have shown a rapidly changing spectrum resulting from shocks in the outflow, which created a new bipolar nebula inside the old nebula. We see C II and C III emission lines emergin
Externí odkaz:
http://arxiv.org/abs/2409.13289
Exposure bias is a well-known issue in recommender systems where items and suppliers are not equally represented in the recommendation results. This bias becomes particularly problematic over time as a few items are repeatedly over-represented in rec
Externí odkaz:
http://arxiv.org/abs/2408.04332
Autor:
Hajduk, Marcin, van Hoof, Peter A. M., Zijlstra, Albert A., Van de Steene, Griet, Kimeswenger, Stefan, Barría, Daniela, Tafoya, Daniel, Toalá, Jesús A.
Publikováno v:
A&A 688, L21 (2024)
The very late thermal pulse (VLTP) affects the evolution of $\sim$20\% of 1--8\,$\mathrm M_\odot$ stars, repeating the last phases of the red giant within a few years and leading to the formation of a new, but hydrogen-poor nebula within the old plan
Externí odkaz:
http://arxiv.org/abs/2407.18020
Two typical forms of bias in user interaction data with recommender systems (RSs) are popularity bias and positivity bias, which manifest themselves as the over-representation of interactions with popular items or items that users prefer, respectivel
Externí odkaz:
http://arxiv.org/abs/2404.18640
Autor:
Levan, Andrew J., Jonker, Peter G., Saccardi, Andrea, Malesani, Daniele Bjørn, Tanvir, Nial R., Izzo, Luca, Heintz, Kasper E., Sánchez, Daniel Mata, Quirola-Vásquez, Jonathan, Torres, Manuel A. P., Vergani, Susanna D., Schulze, Steve, Rossi, Andrea, D'Avanzo, Paolo, Gompertz, Benjamin, Martin-Carrillo, Antonio, Postigo, Antonio de Ugarte, Schneider, Benjamin, Yuan, Weimin, Ling, Zhixing, Zhang, Wenjie, Mao, Xuan, Liu, Yuan, Sun, Hui, Xu, Dong, Zhu, Zipei, Fernández, José Feliciano Agüí, Amati, Lorenzo, Bauer, Franz E., Campana, Sergio, Carotenuto, Francesco, Chrimes, Ashley, van Dalen, Joyce N. D., D'Elia, Valerio, Della Valle, Massimo, De Pasquale, Massimiliano, Dhillon, Vikram S., Galbany, Lluís, Gaspari, Nicola, Gianfagna, Giulia, Gomboc, Andreja, Habeeb, Nusrin, van Hoof, Agnes P. C., Hu, Youdong, Jakobsson, Pall, Julakanti, Yashaswi, Korth, Judith, Kouveliotou, Chryssa, Laskar, Tanmoy, Littlefair, Stuart P., Maiorano, Elisabetta, Mao, Jirong, Melandri, Andrea, Miller, M. Coleman, Mukherjee, Tamal, Oates, Samantha R., O'Brien, Paul, Palmerio, Jesse T., Parviainen, Hannu, Pieterse, Daniëlle L. A., Piranomonte, Silvia, Piro, Luigi, Pugliese, Giovanna, Ravasio, Maria E., Rayson, Ben, Salvaterra, Ruben, Sánchez-Ramírez, Rubén, Sarin, Nikhil, Shilling, Samuel P. R., Starling, Rhaana L. C., Tagliaferri, Gianpiero, Thakur, Aishwarya Linesh, Thöne, Christina C., Wiersema, Klaas, Worssam, Isabelle, Zafar, Tayyaba
The nature of the minute-to-hour long Fast X-ray Transients (FXTs) localised by telescopes such as Chandra, Swift, and XMM-Newton remains mysterious, with numerous models suggested for the events. Here, we report multi-wavelength observations of EP24
Externí odkaz:
http://arxiv.org/abs/2404.16350
Conventional reinforcement learning (RL) methods can successfully solve a wide range of sequential decision problems. However, learning policies that can generalize predictably across multiple tasks in a setting with non-Markovian reward specificatio
Externí odkaz:
http://arxiv.org/abs/2403.15301
We announce the C23.01 update of Cloudy. This corrects a simple coding error, present since $\sim$ 1990, in one routine that required a conversion from the line-center to the mean normalization of the Ly$\alpha$ optical depth. This affects the destru
Externí odkaz:
http://arxiv.org/abs/2311.10163
Autor:
Royer, P., Merle, T., Dsilva, K., Sekaran, S., Van Winckel, H., Frémat, Y., Van der Swaelmen, M., Gebruers, S., Tkachenko, A., Laverick, M., Dirickx, M., Raskin, G., Hensberge, H., Abdul-Masih, M., Acke, B., Alonso, M. L., Mahato, S. Bandhu, Beck, P. G., Behara, N., Bloemen, S., Buysschaert, B., Cox, N., Debosscher, J., De Cat, P., Degroote, P., De Nutte, R., De Smedt, K., de Vries, B., Dumortier, L., Escorza, A., Exter, K., Goriely, S., Gorlova, N., Hillen, M., Homan, W., Jorissen, A., Kamath, D., Karjalainen, M., Karjalainen, R., Lampens, P., Lobel, A., Lombaert, R., Marcos-Arenal, P., Menu, J., Merges, F., Moravveji, E., Nemeth, P., Neyskens, P., Ostensen, R., Pápics, P. I., Perez, J., Royer, S. Prins S., Samadi-Ghadim, A., Sana, H., Fuentes, A. Sans, Scaringi, S., Schmid, V., Siess, L., Siopis, C., Smolders, K., Sodor, S., Thoul, A., Triana, S., Vandenbussche, B., Van de Sande, M., Van De Steene, G., Van Eck, S., van Hoof, P. A. M., Van Marle, A. J., Van Reeth, T., Vermeylen, L., Volpi, D., Vos, J., Waelkens, C.
Publikováno v:
A&A 681, A107 (2024)
Over the past decades, libraries of stellar spectra have been used in a large variety of science cases, including as sources of reference spectra for a given object or a given spectral type. Despite the existence of large libraries and the increasing
Externí odkaz:
http://arxiv.org/abs/2311.02705
Learning in high-dimensional action spaces is a key challenge in applying reinforcement learning (RL) to real-world systems. In this paper, we study the possibility of controlling power networks using RL methods. Power networks are critical infrastru
Externí odkaz:
http://arxiv.org/abs/2311.02129