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Ricardo Pio Monti

Researcher at University College London

Publications -  57
Citations -  1639

Ricardo Pio Monti is an academic researcher from University College London. The author has contributed to research in topics: Bayesian optimization & Identifiability. The author has an hindex of 14, co-authored 53 publications receiving 1047 citations. Previous affiliations of Ricardo Pio Monti include Medical University of Warsaw & Imperial College London.

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Proceedings Article

Variational Autoencoders and Nonlinear ICA: A Unifying Framework

Ilyes Khemakhem, +4 more
TL;DR: This work shows that for a broad family of deep latent-variable models, identification of the true joint distribution over observed and latent variables is actually possible up to very simple transformations, thus achieving a principled and powerful form of disentanglement.
Journal ArticleDOI

Estimating time-varying brain connectivity networks from functional MRI time series.

Ricardo Pio Monti, +6 more
- 01 Dec 2014 - 
TL;DR: The Smooth Incremental Graphical Lasso Estimation (SINGLE) algorithm is proposed which estimates dynamic brain networks from fMRI data and is applied to functional MRI data from 24 healthy patients performing a Choice Reaction Task to demonstrate the dynamic changes in network structure that accompany a simple but attentionally demanding cognitive task.
Posted Content

Estimating Time-varying Brain Connectivity Networks from Functional MRI Time Series

Ricardo Pio Monti, +6 more
- 14 Oct 2013 - 
TL;DR: In this article, the Smooth Incremental Graphical Lasso Estimation (SINGLE) algorithm was proposed to estimate dynamic brain networks from fMRI data, which showed that the Right Inferior Frontal Gyrus, frequently reported as playing an important role in cognitive control, dynamically changes with the task.
Journal ArticleDOI

Allergic Rhinitis and its Impact on Asthma (ARIA) Phase 4 (2018): Change management in allergic rhinitis and asthma multimorbidity using mobile technology

Jean Bousquet, +541 more
- 01 Mar 2019 - 
TL;DR: The proposed next phase of ARIA is change management, with the aim of providing an active and healthy life to patients with rhinitis and to those with asthma multimorbidity across the lifecycle irrespective of their sex or socioeconomic status.
Journal ArticleDOI

MASK 2017: ARIA digitally-enabled, integrated, person-centred care for rhinitis and asthma multimorbidity using real-world-evidence

Jean Bousquet, +93 more
- 25 Oct 2018 - 
TL;DR: An overview of the methods used in MASK and the key results obtained to date include a novel phenotypic characterization of the patients, confirmation of the impact of allergic rhinitis on work productivity and treatment patterns in real life and the potential usefulness of MASK will be further explored.