43 citations · 52 across the 4 of their papers we have counts for
4 papers
Employing Discrete Fourier Transform in Representation Learning
Raoof HojatJalali, Edmondo Trentin
Image representation learning via input reconstruction is a common technique in machine learning for generating representations that can be effectively utilized by arbitrary downst…
Cepheid Metallicity in the Leavitt Law (C-MetaLL) survey: I. HARPS-N@TNG spectroscopy of 47 Classical Cepheid and 1 BL Her variables
V. Ripepi, G. Catanzaro, R. Molinaro +11
Classical Cepheids (DCEPs) are the most important primary indicators of the extragalactic distance scale. Establishing the dependence on metallicity of their period--luminosity and…
Mixtures of Deep Neural Experts for Automated Speech Scoring
Sara Papi, Edmondo Trentin, Roberto Gretter +2
The paper copes with the task of automatic assessment of second language proficiency from the language learners' spoken responses to test prompts. The task has significant relevanc…
Multivariate Density Estimation with Deep Neural Mixture Models
Edmondo Trentin
Albeit worryingly underrated in the recent literature on machine learning in general (and, on deep learning in particular), multivariate density estimation is a fundamental task in…