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pro vyhledávání: '"Gavranović A"'
Autor:
Brina Škvor Jernejčič
Publikováno v:
Arheološki Vestnik, Vol 74, Pp 659-660 (2023)
Externí odkaz:
https://doaj.org/article/845ef6ded0fc4cda8c79ab7acabeecba
Autor:
Ganić, Mehmed1 (AUTHOR) mganic@ius.edu.ba, Gavranović, Nedim1 (AUTHOR) ngavranovic@ius.edu.ba
Publikováno v:
Our Economy / Nase Gospodarstvo. Dec2024, Vol. 70 Issue 4, p12-22. 11p.
We propose a categorical semantics for machine learning algorithms in terms of lenses, parametric maps, and reverse derivative categories. This foundation provides a powerful explanatory and unifying framework: it encompasses a variety of gradient de
Externí odkaz:
http://arxiv.org/abs/2404.00408
Publikováno v:
Electronic Notes in Theoretical Informatics and Computer Science, Volume 4 - Proceedings of MFPS XL (December 11, 2024) entics:14638
Categories of lenses/optics and Dialectica categories are both comprised of bidirectional morphisms of basically the same form. In this work we show how they can be considered a special case of an overarching fibrational construction, generalizing Ho
Externí odkaz:
http://arxiv.org/abs/2403.16388
Autor:
Gavranović, Bruno
Deep learning, despite its remarkable achievements, is still a young field. Like the early stages of many scientific disciplines, it is marked by the discovery of new phenomena, ad-hoc design decisions, and the lack of a uniform and compositional mat
Externí odkaz:
http://arxiv.org/abs/2403.13001
Autor:
Gavranović, Bruno, Lessard, Paul, Dudzik, Andrew, von Glehn, Tamara, Araújo, João G. M., Veličković, Petar
We present our position on the elusive quest for a general-purpose framework for specifying and studying deep learning architectures. Our opinion is that the key attempts made so far lack a coherent bridge between specifying constraints which models
Externí odkaz:
http://arxiv.org/abs/2402.15332
Autor:
Gavranovič, Jan, Kerševan, Borut Paul
Monte Carlo simulations are a crucial component when analysing the Standard Model and New physics processes at the Large Hadron Collider. This paper aims to explore the performance of generative models for complementing the statistics of classical Mo
Externí odkaz:
http://arxiv.org/abs/2310.08994
Autor:
Vladimír Mitáš
Publikováno v:
Slovenská archeológia. 69:413-415
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e56d76be6ce8f134aabbee6e61e09bd1
https://doi.org/10.31577/slovarch.2021.69.17
https://doi.org/10.31577/slovarch.2021.69.17
Autor:
Gavranović, Bruno, Villani, Mattia
We define the bicategory of Graph Convolutional Neural Networks $\mathbf{GCNN}_n$ for an arbitrary graph with $n$ nodes. We show it can be factored through the already existing categorical constructions for deep learning called $\mathbf{Para}$ and $\
Externí odkaz:
http://arxiv.org/abs/2212.00542
Autor:
Gavranović, Bruno
Optics and lenses are abstract categorical gadgets that model systems with bidirectional data flow. In this paper we observe that the denotational definition of optics - identifying two optics as equivalent by observing their behaviour from the outsi
Externí odkaz:
http://arxiv.org/abs/2209.09351