Zobrazeno 1 - 10
of 11 706
pro vyhledávání: '"AVETISYAN, A. A."'
In this paper we prove the existence and uniqueness of positive mild solutions for the semilinear parabolic equations of the form $u_t+\mathcal{L}u=f+h\cdot G(u)$, where $h$ is a positive function and $G$ a positive concave function (for example, $G(
Externí odkaz:
http://arxiv.org/abs/2412.20278
We introduce and study weighted spaces of functions with mixed norm on the upper half-plane, defined in terms of Fourier transform. We give a characterization of analytic functions within these spaces, and in particular, we provide an analog of the P
Externí odkaz:
http://arxiv.org/abs/2412.18954
We describe a general framework of functional and Fourier analysis on domains with a free action of an Abelian Lie group $G$. Namely, on a domain of the form $G\times Y$ we introduce the appropriate spaces of distributions and measurable functions, e
Externí odkaz:
http://arxiv.org/abs/2411.15379
Autor:
Remy, François, Delobelle, Pieter, Avetisyan, Hayastan, Khabibullina, Alfiya, de Lhoneux, Miryam, Demeester, Thomas
The development of monolingual language models for low and mid-resource languages continues to be hindered by the difficulty in sourcing high-quality training data. In this study, we present a novel cross-lingual vocabulary transfer strategy, trans-t
Externí odkaz:
http://arxiv.org/abs/2408.04303
Autor:
Skorik, Sergey, Avetisyan, Aram
An electrocardiogram (ECG) is vital for identifying cardiac diseases, offering crucial insights for diagnosing heart conditions and informing potentially life-saving treatments. However, like other types of medical data, ECGs are subject to privacy c
Externí odkaz:
http://arxiv.org/abs/2407.11108
Electrocardiogram (ECG) delineation plays a crucial role in assisting cardiologists with accurate diagnoses. Prior research studies have explored various methods, including the application of deep learning techniques, to achieve precise delineation.
Externí odkaz:
http://arxiv.org/abs/2406.02711
Autor:
Chezhegov, Savelii, Skorik, Sergey, Khachaturov, Nikolas, Shalagin, Danil, Avetisyan, Aram, Takáč, Martin, Kholodov, Yaroslav, Beznosikov, Aleksandr
The rapid development of machine learning and deep learning has introduced increasingly complex optimization challenges that must be addressed. Indeed, training modern, advanced models has become difficult to implement without leveraging multiple com
Externí odkaz:
http://arxiv.org/abs/2406.00846
Maintaining adequate situation awareness (SA) is crucial for the safe operation of conditionally automated vehicles (AVs), which requires drivers to regain control during takeover (TOR) events. This study developed a predictive model for real-time as
Externí odkaz:
http://arxiv.org/abs/2405.07088
Autor:
Avetisyan, Armen, Xie, Christopher, Howard-Jenkins, Henry, Yang, Tsun-Yi, Aroudj, Samir, Patra, Suvam, Zhang, Fuyang, Frost, Duncan, Holland, Luke, Orme, Campbell, Engel, Jakob, Miller, Edward, Newcombe, Richard, Balntas, Vasileios
We introduce SceneScript, a method that directly produces full scene models as a sequence of structured language commands using an autoregressive, token-based approach. Our proposed scene representation is inspired by recent successes in transformers
Externí odkaz:
http://arxiv.org/abs/2403.13064
Detection of scattered light can determine the susceptibility of dielectrics. Rayleigh criterion normally limits it: details finer than the wavelength of the incident light cannot be determined from the far-field domain. We show that putting the diel
Externí odkaz:
http://arxiv.org/abs/2402.18268