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pro vyhledávání: '"A. Mammadov"'
We propose a variational inference approach to sample from the posterior distribution for solving inverse problems. From a pre-trained diffusion model, our approach trains a conditional flow model to minimize the divergence between the proposal varia
Externí odkaz:
http://arxiv.org/abs/2407.17907
We introduce Modelizer - a novel framework that, given a black-box program, learns a _model from its input/output behavior_ using _neural machine translation_. The resulting model _mocks_ the original program: Given an input, the model predicts the o
Externí odkaz:
http://arxiv.org/abs/2407.08597
The emergence of multilingual large language models has enabled the development of language understanding and generation systems in Azerbaijani. However, most of the production-grade systems rely on cloud solutions, such as GPT-4. While there have be
Externí odkaz:
http://arxiv.org/abs/2407.02337
Model compression and hardware acceleration are essential for the resource-efficient deployment of deep neural networks. Modern object detectors have highly interconnected convolutional layers with concatenations. In this work, we study how pruning c
Externí odkaz:
http://arxiv.org/abs/2405.03715
In fair division of indivisible items, domain restriction has played a key role in escaping from negative results and providing structural insights into the computational and axiomatic boundaries of fairness. One notable subdomain of additive prefere
Externí odkaz:
http://arxiv.org/abs/2404.19740
Current theoretical and empirical research in neural networks suggests that complex datasets require large network architectures for thorough classification, yet the precise nature of this relationship remains unclear. This paper tackles this issue b
Externí odkaz:
http://arxiv.org/abs/2402.02407
Autor:
Burcu Kulaksız Mammadov, Hayriye Şentürk Çiftçi, Emre Sertaç Bingül, Kamil M. Tuğrul, Fatma Savran Oğuz, Selçuk Erdem, Tural Mammadov, Meltem Savran Karadeniz
Publikováno v:
Journal of Urological Surgery, Vol 11, Iss 3, Pp 145-152 (2024)
Objective: The endothelial glycocalyx layer (EGL) is the interface between the blood and the endothelium that regulates permeability. This study compared the effects of liberal and restrictive fluid therapies on atrial natriuretic peptide (ANP) relea
Externí odkaz:
https://doaj.org/article/ef71169a0e074743b688e3bcc8a0458d
Publikováno v:
Open Linguistics, Vol 10, Iss 1, Pp 1-24 (2024)
Despite the fact that various functions of repetition in discourse have been studied, we have decided to continue our exploration of the role of phonetic and lexical repetitions in the pragmatics and cognition of text and discourse focusing our atten
Externí odkaz:
https://doaj.org/article/f000745209b14111a7508ff27462330b
Autor:
Mammadov, Meraj
Reinforcement Learning (RL) has emerged as a transformative approach in the domains of automation and robotics, offering powerful solutions to complex problems that conventional methods struggle to address. In scenarios where the problem definitions
Externí odkaz:
http://arxiv.org/abs/2309.00296
Publikováno v:
East European Journal of Physics, Iss 3, Pp 125-134 (2024)
The problem of the spatial motion of a passively gravitating body during an to the central body of a perturbing body – a test star – is considered. Using the exact expression of the force function, an integral invariant relationship – a quasi-i
Externí odkaz:
https://doaj.org/article/17c26405d35b418398f6df16d19aa7a2