| 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 | 658 | 2019 |
| 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 | 202 | 2014 |
| Causal Autoregressive Flows I Khemakhem, RP Monti, R Leech, A Hyvärinen The 24th International Conference on Artificial Intelligence and Statistics …, 2020 | 119 | 2020 |
| 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, 12768-12778, 2020 | 116 | 2020 |
| 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 | 97 | 2016 |
| Causal Discovery with General Non-Linear Relationships Using Non-Linear ICA RP Monti, K Zhang, A Hyvarinen Uncertainty in Artificial Intelligence (UAI), 2019 | 96 | 2019 |
| 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 | 71 | 2019 |
| Dissociating frontoparietal brain networks with neuroadaptive Bayesian optimization R Lorenz, IR Violante, RP Monti, G Montana, A Hampshire, R Leech Nature communications 9 (1), 1227, 2018 | 65 | 2018 |
| A guided multiverse study of neuroimaging analyses J Dafflon, P F. Da Costa, F Váša, RP Monti, D Bzdok, PJ Hellyer, ... Nature Communications 13 (1), 3758, 2022 | 54* | 2022 |
| Correlation between work impairment, scores of rhinitis severity and asthma using the MASK‐air® App A Bédard, JM Antó, JA Fonseca, S Arnavielhe, C Bachert, A Bedbrook, ... Allergy 75 (7), 1672-1688, 2020 | 52 | 2020 |
| Behavioural patterns in allergic rhinitis medication in Europe: A study using MASK‐air® real‐world data B Sousa‐Pinto, A Sá‐Sousa, RJ Vieira, R Amaral, L Klimek, W Czarlewski, ... Allergy 77 (9), 2699-2711, 2022 | 47 | 2022 |
| 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 | 41 | 2015 |
| 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 | 36 | 2018 |
| 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 | 36 | 2017 |
| Identifiability of latent-variable and structural-equation models: from linear to nonlinear A Hyvärinen, I Khemakhem, R Monti Annals of the Institute of Statistical Mathematics 76 (1), 1-33, 2024 | 30 | 2024 |
| The reference site collaborative network of the European innovation partnership on active and healthy ageing J Bousquet, M Illario, J Farrell, N Batey, AM Carriazo, J Malva, J Hajjam, ... Translational Medicine@ UniSa 19, 66, 2019 | 30 | 2019 |
| Brain and behavioral alterations in subjects with social anxiety dominated by empathic embarrassment S Tei, JP Kauppi, KF Jankowski, J Fujino, RP Monti, J Tohka, N Abe, ... Proceedings of the National Academy of Sciences 117 (8), 4385-4391, 2020 | 28 | 2020 |
| ICE-BeeM: Identifiable conditional energy-based deep models I Khemakhem, DP Kingma, RP Monti, A Hyvärinen Conference on Neural Information Processing Systems (NeurIPS 2020), 2020 | 27 | 2020 |
| 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 | 25 | 2020 |
| Learning population and subject-specific brain connectivity networks via mixed neighborhood selection RP Monti, C Anagnostopoulos, G Montana The Annals of Applied Statistics, 2142-2164, 2017 | 23 | 2017 |
Robert LeechKing's College LondonDirección de correo verificada de kcl.ac.uk