Zobrazeno 1 - 10
of 122
pro vyhledávání: '"Pantazis, Yannis"'
Autor:
Fagin, Joshua, Vernardos, Georgios, Tsagkatakis, Grigorios, Pantazis, Yannis, Shajib, Anowar J., O'Dowd, Matthew
Publikováno v:
Monthly Notices of the Royal Astronomical Society, Volume 532, Issue 2, August 2024
Strong gravitational lensing can be used as a tool for constraining the substructure in the mass distribution of galaxies. In this study we investigate the power spectrum of dark matter perturbations in a population of 23 Hubble Space Telescope image
Externí odkaz:
http://arxiv.org/abs/2403.13881
Principal component analysis (PCA) is a standard dimensionality reduction technique used in various research and applied fields. From an algorithmic point of view, classical PCA can be formulated in terms of operations on a multivariate Gaussian like
Externí odkaz:
http://arxiv.org/abs/2211.03181
We build a new class of generative algorithms capable of efficiently learning an arbitrary target distribution from possibly scarce, high-dimensional data and subsequently generate new samples. These generative algorithms are particle-based and are c
Externí odkaz:
http://arxiv.org/abs/2210.17230
We propose a new family of regularized R\'enyi divergences parametrized not only by the order $\alpha$ but also by a variational function space. These new objects are defined by taking the infimal convolution of the standard R\'enyi divergence with t
Externí odkaz:
http://arxiv.org/abs/2210.04974
Our work focuses on extra gradient learning algorithms for finding Nash equilibria in bilinear zero-sum games. The proposed method, which can be formally considered as a variant of Optimistic Mirror Descent \cite{DBLP:conf/iclr/MertikopoulosLZ19}, us
Externí odkaz:
http://arxiv.org/abs/2106.03579
Inferring the driving equations of a dynamical system from population or time-course data is important in several scientific fields such as biochemistry, epidemiology, financial mathematics and many others. Despite the existence of algorithms that le
Externí odkaz:
http://arxiv.org/abs/2012.05055
We develop a rigorous and general framework for constructing information-theoretic divergences that subsume both $f$-divergences and integral probability metrics (IPMs), such as the $1$-Wasserstein distance. We prove under which assumptions these div
Externí odkaz:
http://arxiv.org/abs/2011.05953
Gravitational lensing is a powerful tool for constraining substructure in the mass distribution of galaxies, be it from the presence of dark matter sub-halos or due to physical mechanisms affecting the baryons throughout galaxy evolution. Such substr
Externí odkaz:
http://arxiv.org/abs/2010.07314
The increased adoption of digital assistants makes text-to-speech (TTS) synthesis systems an indispensable feature of modern mobile devices. It is hence desirable to build a system capable of generating highly intelligible speech in the presence of n
Externí odkaz:
http://arxiv.org/abs/2008.05809
Recent advancements in deep learning led to human-level performance in single-speaker speech synthesis. However, there are still limitations in terms of speech quality when generalizing those systems into multiple-speaker models especially for unseen
Externí odkaz:
http://arxiv.org/abs/2008.05289