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Akademický článek

In Memory of Leonid Leonidovich Kasatkin (30.12.1926–13.09.2020)

Publikováno v: Slavistica Vilnensis, Vol 65, Iss 2 (2020)

Leonid Kasatkin is a famous Russian dialectologist. He devoted his works to Russian phonetics, the study of dialects, especially of the Old Believers. He often came to Vilnius University for conferences, for many years he had creative contacts with p

Externí odkaz: https://doaj.org/article/be2bbac1a51d4767907cd72a84a02fde

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Akademický článek

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SoccerNet 2024 Challenges Results

Autor: Cioppa, Anthony, Giancola, Silvio, Somers, Vladimir, Joos, Victor, Magera, Floriane, Held, Jan, Ghasemzadeh, Seyed Abolfazl, Zhou, Xin, Seweryn, Karolina, Kowalczyk, Mateusz, Mróz, Zuzanna, Łukasik, Szymon, Hałoń, Michał, Mkhallati, Hassan, Deliège, Adrien, Hinojosa, Carlos, Sanchez, Karen, Mansourian, Amir M., Miralles, Pierre, Barnich, Olivier, De Vleeschouwer, Christophe, Alahi, Alexandre, Ghanem, Bernard, Van Droogenbroeck, Marc, Gorski, Adam, Clapés, Albert, Boiarov, Andrei, Afanasiev, Anton, Xarles, Artur, Scott, Atom, Lim, ByoungKwon, Yeung, Calvin, Gonzalez, Cristian, Rüfenacht, Dominic, Pacilio, Enzo, Deuser, Fabian, Altawijri, Faisal Sami, Cachón, Francisco, Kim, HanKyul, Wang, Haobo, Choe, Hyeonmin, Kim, Hyunwoo J, Kim, Il-Min, Kang, Jae-Mo, Tursunboev, Jamshid, Yang, Jian, Hong, Jihwan, Lee, Jimin, Zhang, Jing, Lee, Junseok, Zhang, Kexin, Habel, Konrad, Jiao, Licheng, Li, Linyi, Gutiérrez-Pérez, Marc, Ortega, Marcelo, Li, Menglong, Lopatto, Milosz, Kasatkin, Nikita, Nemtsev, Nikolay, Oswald, Norbert, Udin, Oleg, Kononov, Pavel, Geng, Pei, Alotaibi, Saad Ghazai, Kim, Sehyung, Ulasen, Sergei, Escalera, Sergio, Zhang, Shanshan, Yang, Shuyuan, Moon, Sunghwan, Moeslund, Thomas B., Shandyba, Vasyl, Golovkin, Vladimir, Dai, Wei, Chung, WonTaek, Liu, Xinyu, Zhu, Yongqiang, Kim, Youngseo, Li, Yuan, Yang, Yuting, Xiao, Yuxuan, Cheng, Zehua, Li, Zhihao

The SoccerNet 2024 challenges represent the fourth annual video understanding challenges organized by the SoccerNet team. These challenges aim to advance research across multiple themes in football, including broadcast video understanding, field unde

Externí odkaz: http://arxiv.org/abs/2409.10587

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Detecting Quantum and Classical Phase Transitions via Unsupervised Machine Learning of the Fisher Information Metric

Autor: Kasatkin, Victor, Mozgunov, Evgeny, Ezzell, Nicholas, Lidar, Daniel

The detection of quantum and classical phase transitions in the absence of an order parameter is possible using the Fisher information metric (FIM), also known as fidelity susceptibility. Here, we propose and investigate an unsupervised machine learn

Externí odkaz: http://arxiv.org/abs/2408.03418

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ClassiFIM: An Unsupervised Method To Detect Phase Transitions

Autor: Kasatkin, Victor, Mozgunov, Evgeny, Ezzell, Nicholas, Mishra, Utkarsh, Hen, Itay, Lidar, Daniel

Estimation of the Fisher Information Metric (FIM-estimation) is an important task that arises in unsupervised learning of phase transitions, a problem proposed by physicists. This work completes the definition of the task by defining rigorous evaluat

Externí odkaz: http://arxiv.org/abs/2408.03323

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