Zobrazeno 1 - 10
of 1 614
pro vyhledávání: '"A P, Makar"'
Autor:
Shi, Claudia, Beltran-Velez, Nicolas, Nazaret, Achille, Zheng, Carolina, Garriga-Alonso, Adrià, Jesson, Andrew, Makar, Maggie, Blei, David M.
Large language models (LLMs) demonstrate surprising capabilities, but we do not understand how they are implemented. One hypothesis suggests that these capabilities are primarily executed by small subnetworks within the LLM, known as circuits. But ho
Externí odkaz:
http://arxiv.org/abs/2410.13032
Recommender systems aim to estimate the dynamically changing user preferences and sequential dependencies between historical user behaviour and metadata. Although transformer-based models have proven to be effective in sequential recommendations, the
Externí odkaz:
http://arxiv.org/abs/2408.05606
In this paper we study short-time behavior of the at-the-money implied volatility for Inverse European options with fixed strike price. The asset price is assumed to follow a general stochastic volatility process. Using techniques of the Malliavin ca
Externí odkaz:
http://arxiv.org/abs/2401.00539
When modeling nuclear processes which occur in heavy-ion reactions, it is necessary to calculate the potential energy of interaction between two nuclei. One of the main features determining the dynamics of the nucleus-nucleus collision is the Coulomb
Externí odkaz:
http://arxiv.org/abs/2311.08892
Autor:
Piotr Makar, Rabiu Muazu Musa, Rui Miguel Silva, Jarosław Muracki, Robert Trybulski, Emre Altundağ, Murat Altaca, Wacław Kuczmik, Rafał Studnicki, Zeki Akildiz
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract This study aims to explore the interplay between locomotor demands and goal differentials to better understand their combined influence on overall success. Spanning three competitive seasons within the male Turkish Super League, this study a
Externí odkaz:
https://doaj.org/article/7e2d3caa6ee443d18bf5b4ceeca4a9a4
Publikováno v:
Geoscientific Model Development, Vol 17, Pp 7713-7749 (2024)
The Global Forest Fire Emissions Prediction System (GFFEPS) is a model that estimates biomass burning in near-real time for global air quality forecasting. The model uses a bottom-up approach, based on remotely sensed hotspot locations, and global da
Externí odkaz:
https://doaj.org/article/002a9f0dc0724237bea9114d67834635
Autor:
L. V. Makar, A. V. Borodulin, A. Yu. Kolesnichenko, A. G. Kazarenko, K. S. Mokrushin, G. Zh. Abakarov, O. M. Shchukina, D. A. Chernyshev, P. А. Vladimirov, K. M. Vakhitov, A. Ya. Bedrov
Publikováno v:
Вестник хирургии имени И.И. Грекова, Vol 183, Iss 1, Pp 23-30 (2024)
The OBJECTIVE was to study the short-term results of surgical treatment of patients with brachial artery injury in peacetime upper limb injury.METHODS AND MATERIALS. This study presents the short-term results of surgical treatment of 61 patients with
Externí odkaz:
https://doaj.org/article/e3a9c5eb045a41f8839f83b24ec77d45
Publikováno v:
BMC Anesthesiology, Vol 24, Iss 1, Pp 1-9 (2024)
Abstract Study design Retrospective analysis of difficult airway alerts in a major tertiary centre. Objective To investigate the completeness, utility and efficacy of difficult airway alerts and their impact on future airway management episodes. Desi
Externí odkaz:
https://doaj.org/article/efd9b03a0dcf4ebea9b3a07b0a9be8be
In this paper we study the short-time behavior of the at-the-money implied volatility for European and arithmetic Asian call options with fixed strike price. The asset price is assumed to follow the Bachelier model with a general stochastic volatilit
Externí odkaz:
http://arxiv.org/abs/2308.15341
Autor:
Nafshi, Ron, Makar, Maggie
Nonparametric two-sample tests such as the Maximum Mean Discrepancy (MMD) are often used to detect differences between two distributions in machine learning applications. However, the majority of existing literature assumes that error-free samples fr
Externí odkaz:
http://arxiv.org/abs/2308.03570