Zobrazeno 1 - 10
of 1 228
pro vyhledávání: '"Stosic, P"'
Autor:
Stosic, Borko, Stosic, Tatijana
In this work we address the question of the Multifractal detrended cross-correlation analysis method that has been subject to some controversies since its inception almost two decades ago. To this end we propose several new options to deal with negat
Externí odkaz:
http://arxiv.org/abs/2406.19406
Autor:
Đorđević, Dušan, Stošić, Marko
The generalized knots-quivers correspondence extends the original knots-quivers correspondence, by allowing higher level generators of quiver generating series. In this paper we explore the underlined combinatorics of such generating series, relation
Externí odkaz:
http://arxiv.org/abs/2408.01832
An expression is any mathematical formula that contains certain formal variables and operations to be executed in a specified order. In computer science, it is usually convenient to represent each expression in the form of an expression tree. Here, w
Externí odkaz:
http://arxiv.org/abs/2405.13928
Autor:
Stošić, Marko, Sułkowski, Piotr
We relate invariants of torus knots to the counts of a class of lattice paths, which we call generalized Schr\"oder paths. We determine generating functions of such paths, located in a region determined by a type of a torus knot under consideration,
Externí odkaz:
http://arxiv.org/abs/2405.10161
Autor:
Dragović, Vladimir, Stošić, Marko
Starting from billiard partitions which arose recently in the description of periodic trajectories of ellipsoidal billiards in $d$-dimensional Euclidean space, we introduce a new type of separable integer partition classes, called type B. We study th
Externí odkaz:
http://arxiv.org/abs/2404.19078
Autor:
Stošić, Marko
We propose a generalized version of knots-quivers correspondence, where the quiver series variables specialize to arbitrary powers of the knot HOMFLY-PT polynomial series variable. We explicitely compute quivers for large classes of knots, as well as
Externí odkaz:
http://arxiv.org/abs/2402.03066
Autor:
Rouhani, Bita Darvish, Zhao, Ritchie, More, Ankit, Hall, Mathew, Khodamoradi, Alireza, Deng, Summer, Choudhary, Dhruv, Cornea, Marius, Dellinger, Eric, Denolf, Kristof, Dusan, Stosic, Elango, Venmugil, Golub, Maximilian, Heinecke, Alexander, James-Roxby, Phil, Jani, Dharmesh, Kolhe, Gaurav, Langhammer, Martin, Li, Ada, Melnick, Levi, Mesmakhosroshahi, Maral, Rodriguez, Andres, Schulte, Michael, Shafipour, Rasoul, Shao, Lei, Siu, Michael, Dubey, Pradeep, Micikevicius, Paulius, Naumov, Maxim, Verrilli, Colin, Wittig, Ralph, Burger, Doug, Chung, Eric
Narrow bit-width data formats are key to reducing the computational and storage costs of modern deep learning applications. This paper evaluates Microscaling (MX) data formats that combine a per-block scaling factor with narrow floating-point and int
Externí odkaz:
http://arxiv.org/abs/2310.10537
Autor:
Valentina N. Nikolic, Višeslav Popadic, Slobodan M. Jankovic, Nenad Govedarović, Stevan Vujić, Jelica Andjelković, Lazar S. Stosic, Nikola Č. Stevanović, Marija Zdravkovic, Zoran Todorovic
Publikováno v:
BMC Research Notes, Vol 17, Iss 1, Pp 1-6 (2024)
Abstract Objective This study aimed to evaluate the roles of galectin-3 and irisin as biomarkers in predicting severe outcomes in COVID-19 patients. Results We analyzed serum levels of galectin-3 and irisin in 59 patients with severe COVID-19 and 30
Externí odkaz:
https://doaj.org/article/a368c857b5854bad8b5e65a0de5274ac
Publikováno v:
Radioengineering, Vol 33, Iss 3, Pp 339-348 (2024)
This paper conducts a validation of two linearization approaches that utilize baseband nonlinear linearization signals of the 2nd order, through practical experiments on an asymmetrical two-way microstrip Doherty amplifier (ADA), and simulations on a
Externí odkaz:
https://doaj.org/article/dbc77d4842c14d6db5817dc21be509a8
This work maps deep neural networks to classical Ising spin models, allowing them to be described using statistical thermodynamics. The density of states shows that structures emerge in the weights after they have been trained -- well-trained network
Externí odkaz:
http://arxiv.org/abs/2209.08678