Zobrazeno 1 - 10
of 109 501
pro vyhledávání: '"SMIRNOV A. A."'
Autor:
Smirnov, Oleg M., Makhathini, Sphesihle, Kenyon, Jonathan S., Bester, Hertzog L., Perkins, Simon J., Ramaila, Athanaseus J. T., Hugo, Benjamin V.
Stimela2 is a new-generation framework for developing data reduction workflows. It is designed for radio astronomy data but can be adapted for other data processing applications. Stimela2 aims at the middle ground between ease of development, human r
Externí odkaz:
http://arxiv.org/abs/2412.10080
Autor:
Kenyon, Jonathan S., Perkins, Simon J., Bester, Hertzog L., Smirnov, Oleg M., Russeeawon, Cyndie, Hugo, Benjamin V.
Calibration of radio interferometer data ought to be a solved problem; it has been an integral part of data reduction for some time. However, as larger, more sensitive radio interferometers are conceived and built, the calibration problem grows in bo
Externí odkaz:
http://arxiv.org/abs/2412.10072
Autor:
Bester, Hertzog L., Kenyon, Jonathan S., Repetti, Audrey, Perkins, Simon J., Smirnov, Oleg M., Blecher, Tariq, Mhiri, Yassine, Roth, Jakob, Heywood, Ian, Wiaux, Yves, Hugo, Benjamin V.
The popularity of the CLEAN algorithm in radio interferometric imaging stems from its maturity, speed, and robustness. While many alternatives have been proposed in the literature, none have achieved mainstream adoption by astronomers working with da
Externí odkaz:
http://arxiv.org/abs/2412.10073
Autor:
Wan, Qiaochu, Vaz, Daniel, Xiang, Li, Ramavath, Anshul, Vargo, Brandon, Ye, Juntong, Beaumariage, Jonathan, Watanabe, Kenji, Taniguchi, Takashi, Sun, Zheng, Smirnov, Dmitry, Youngblood, Nathan, Bondarev, Igor V., Snoke, David W.
Previous experimental and theoretical work has given evidence of the existence of doubly charged exciton states in strongly screened bilayers of transition metal dichalcogenide (TMD) layers. These complexes are important because they are performed el
Externí odkaz:
http://arxiv.org/abs/2412.06941
Autor:
Smirnov, Roman
The paper describes LLM unlearning without a retaining dataset, using the ORPO reinforcement learning method with inference enhanced by modified classifier-free guidance. Significant improvement in unlearning, without degradation of the model, is ach
Externí odkaz:
http://arxiv.org/abs/2412.06846
We consider the effect of the emergence of chimera states in a system of coexisting stationary and flying-through in potential particles with an internal degree of freedom determined by the phase. All particles tend to an equilibrium state with a sma
Externí odkaz:
http://arxiv.org/abs/2412.05044
Autor:
Ennadir, Sofiane, Gandler, Gabriela Zarzar, Cornell, Filip, Cao, Lele, Smirnov, Oleg, Wang, Tianze, Zólyomi, Levente, Brinne, Björn, Asadi, Sahar
Graphs are ubiquitous in real-world applications, ranging from social networks to biological systems, and have inspired the development of Graph Neural Networks (GNNs) for learning expressive representations. While most research has centered on stati
Externí odkaz:
http://arxiv.org/abs/2412.03783
Publikováno v:
Publications of the Pulkovo Observatory, Issue 235, p. 1-15 (2024)
The paper is devoted to the analysis of the influence of the galactic bar on the nature of the orbital motion (chaotic or regular) of globular clusters in the central region of the Galaxy with a radius of 3.5 kpc, which are subject to the greatest in
Externí odkaz:
http://arxiv.org/abs/2412.02426
Autor:
DeAndres-Tame, Ivan, Tolosana, Ruben, Melzi, Pietro, Vera-Rodriguez, Ruben, Kim, Minchul, Rathgeb, Christian, Liu, Xiaoming, Gomez, Luis F., Morales, Aythami, Fierrez, Julian, Ortega-Garcia, Javier, Zhong, Zhizhou, Huang, Yuge, Mi, Yuxi, Ding, Shouhong, Zhou, Shuigeng, He, Shuai, Fu, Lingzhi, Cong, Heng, Zhang, Rongyu, Xiao, Zhihong, Smirnov, Evgeny, Pimenov, Anton, Grigorev, Aleksei, Timoshenko, Denis, Asfaw, Kaleb Mesfin, Low, Cheng Yaw, Liu, Hao, Wang, Chuyi, Zuo, Qing, He, Zhixiang, Shahreza, Hatef Otroshi, George, Anjith, Unnervik, Alexander, Rahimi, Parsa, Marcel, Sébastien, Neto, Pedro C., Huber, Marco, Kolf, Jan Niklas, Damer, Naser, Boutros, Fadi, Cardoso, Jaime S., Sequeira, Ana F., Atzori, Andrea, Fenu, Gianni, Marras, Mirko, Štruc, Vitomir, Yu, Jiang, Li, Zhangjie, Li, Jichun, Zhao, Weisong, Lei, Zhen, Zhu, Xiangyu, Zhang, Xiao-Yu, Biesseck, Bernardo, Vidal, Pedro, Coelho, Luiz, Granada, Roger, Menotti, David
Synthetic data is gaining increasing popularity for face recognition technologies, mainly due to the privacy concerns and challenges associated with obtaining real data, including diverse scenarios, quality, and demographic groups, among others. It a
Externí odkaz:
http://arxiv.org/abs/2412.01383
Autor:
Parker, Julian D, Smirnov, Anton, Pons, Jordi, Carr, CJ, Zukowski, Zack, Evans, Zach, Liu, Xubo
The tokenization of speech with neural audio codec models is a vital part of modern AI pipelines for the generation or understanding of speech, alone or in a multimodal context. Traditionally such tokenization models have concentrated on low paramete
Externí odkaz:
http://arxiv.org/abs/2411.19842