Ricardo Pio Monti
Ricardo Pio Monti
Gatsby Unit, UCL
Verified email at gatsby.ucl.ac.uk - Homepage
Title
Cited by
Cited by
Year
Estimating time-varying brain connectivity networks from functional MRI time series
RP Monti, P Hellyer, D Sharp, R Leech, C Anagnostopoulos, G Montana
NeuroImage 103, 427-443, 2014
1282014
The automatic neuroscientist: a framework for optimizing experimental design with closed-loop real-time fMRI
R Lorenz, RP Monti, IR Violante, C Anagnostopoulos, AA Faisal, ...
NeuroImage 129, 320-334, 2016
572016
Variational autoencoders and nonlinear ICA: A unifying framework
I Khemakhem, DP Kingma, RP Monti, A Hyvärinen
International Conference on Artificial Intelligence and Statistics (AISTATS), 2019
552019
Dissociating frontoparietal brain networks with neuroadaptive Bayesian optimization
R Lorenz, IR Violante, RP Monti, G Montana, A Hampshire, R Leech
Nature communications 9 (1), 1-14, 2018
262018
Real‐time estimation of dynamic functional connectivity networks
RP Monti, R Lorenz, RM Braga, C Anagnostopoulos, R Leech, G Montana
Human brain mapping 38 (1), 202-220, 2017
21*2017
Causal Discovery with General Non-Linear Relationships Using Non-Linear ICA
RP Monti, K Zhang, A Hyvarinen
Uncertainty in Artificial Intelligence (UAI), 2019
172019
Stopping criteria for boosting automatic experimental design using real-time fMRI with Bayesian optimization
R Lorenz, RP Monti, IR Violante, AA Faisal, C Anagnostopoulos, R Leech, ...
5th NIPS Workshop on Machine Learning and Interpretation in Neuroimaging …, 2015
172015
Efficiently searching through large tACS parameter spaces using closed-loop Bayesian optimization
R Lorenz, LE Simmons, RP Monti, JL Arthur, S Limal, I Laakso, R Leech, ...
Brain stimulation 12 (6), 1484-1489, 2019
14*2019
Learning population and subject-specific brain connectivity networks via mixed neighborhood selection
RP Monti, C Anagnostopoulos, G Montana
The Annals of Applied Statistics 11 (4), 2142-2164, 2017
142017
Classifying HCP task-fMRI networks using heat kernels
AW Chung, E Pesce, RP Monti, G Montana
2016 International Workshop on Pattern Recognition in NeuroImaging (PRNI), 1-4, 2016
122016
A Unified Probabilistic Model for Learning Latent Factors and Their Connectivities from High-Dimensional Data
RP Monti, A Hyvärinen
Uncertainty in Artificial Intelligence (UAI), 2018
112018
Towards tailoring non-invasive brain stimulation using real-time fMRI and Bayesian optimization
R Lorenz, RP Monti, A Hampshire, Y Koush, C Anagnostopoulos, ...
2016 International Workshop on Pattern Recognition in Neuroimaging (PRNI), 1-4, 2016
112016
Graph embeddings of dynamic functional connectivity reveal discriminative patterns of task engagement in HCP data
R Monti, R Lorenz, P Hellyer, R Leech, C Anagnostopoulos, G Montana
2015 International Workshop on Pattern Recognition in NeuroImaging, 1-4, 2015
112015
ICE-BeeM: Identifiable Conditional Energy-Based Deep Models Based on Nonlinear ICA
I Khemakhem, R Monti, D Kingma, A Hyvarinen
Advances in Neural Information Processing Systems 33, 2020
8*2020
Adaptive regularization for Lasso models in the context of nonstationary data streams
RP Monti, C Anagnostopoulos, G Montana
Statistical Analysis and Data Mining: The ASA Data Science Journal 11 (5 …, 2018
7*2018
Avoiding degradation in deep feed-forward networks by phasing out skip-connections
RP Monti, S Tootoonian, R Cao
International Conference on Artificial Neural Networks (ICANN) 11141, 447-456, 2018
72018
Decoding time-varying functional connectivity networks via linear graph embedding methods
RP Monti, R Lorenz, P Hellyer, R Leech, C Anagnostopoulos, G Montana
Frontiers in computational neuroscience 11, 14, 2017
62017
Text-mining the NeuroSynth corpus using deep Boltzmann machines
R Monti, R Lorenz, R Leech, C Anagnostopoulos, G Montana
2016 International Workshop on Pattern Recognition in NeuroImaging (PRNI), 1-4, 2016
52016
Towards the interpretation of time-varying regularization parameters in streaming penalized regression models
L Zboňáková, RP Monti, WK Härdle
Pattern Recognition Letters 125, 542-548, 2019
32019
Interpretable brain age prediction using linear latent variable models of functional connectivity
RP Monti, A Gibberd, S Roy, M Nunes, R Lorenz, R Leech, T Ogawa, ...
Plos one 15 (6), e0232296, 2020
12020
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Articles 1–20