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2020 – today
- 2023
[i10]Aapo Hyvärinen, Ilyes Khemakhem, Ricardo Pio Monti:
Identifiability of latent-variable and structural-equation models: from linear to nonlinear. CoRR abs/2302.02672 (2023)- 2022
- [j6]Joey Bose, Ricardo Pio Monti, Aditya Grover:
Controllable Generative Modeling via Causal Reasoning. Trans. Mach. Learn. Res. 2022 (2022) - 2021
- [c11]Ilyes Khemakhem, Ricardo Pio Monti, Robert Leech, Aapo Hyvärinen:
Causal Autoregressive Flows. AISTATS 2021: 3520-3528 - 2020
- [c10]Ilyes Khemakhem, Diederik P. Kingma, Ricardo Pio Monti, Aapo Hyvärinen:
Variational Autoencoders and Nonlinear ICA: A Unifying Framework. AISTATS 2020: 2207-2217 - [c9]Ilyes Khemakhem, Ricardo Pio Monti, Diederik P. Kingma, Aapo Hyvärinen:
ICE-BeeM: Identifiable Conditional Energy-Based Deep Models Based on Nonlinear ICA. NeurIPS 2020 - [c8]Hiroaki Sasaki, Takashi Takenouchi, Ricardo Pio Monti, Aapo Hyvärinen:
Robust contrastive learning and nonlinear ICA in the presence of outliers. UAI 2020: 659-668 - [i9]Ilyes Khemakhem, Ricardo Pio Monti, Diederik P. Kingma, Aapo Hyvärinen:
ICE-BeeM: Identifiable Conditional Energy-Based Deep Models. CoRR abs/2002.11537 (2020) - [i8]Ricardo Pio Monti, Ilyes Khemakhem, Aapo Hyvärinen:
Autoregressive flow-based causal discovery and inference. CoRR abs/2007.09390 (2020) - [i7]Pedro F. Da Costa, Romy Lorenz, Ricardo Pio Monti, Emily J. H. Jones, Robert Leech:
Bayesian optimization for automatic design of face stimuli. CoRR abs/2007.09989 (2020) - [i6]Ilyes Khemakhem, Ricardo Pio Monti, Robert Leech, Aapo Hyvärinen:
Causal Autoregressive Flows. CoRR abs/2011.02268 (2020)
2010 – 2019
- 2019
- [j5]Lenka Zbonáková, Ricardo Pio Monti, Wolfgang Karl Härdle
:
Towards the interpretation of time-varying regularization parameters in streaming penalized regression models. Pattern Recognit. Lett. 125: 542-548 (2019) - [c7]Ricardo Pio Monti, Kun Zhang, Aapo Hyvärinen:
Causal Discovery with General Non-Linear Relationships using Non-Linear ICA. UAI 2019: 186-195 - [i5]Ricardo Pio Monti, Kun Zhang, Aapo Hyvärinen:
Causal Discovery with General Non-Linear Relationships Using Non-Linear ICA. CoRR abs/1904.09096 (2019) - [i4]Hiroaki Sasaki, Takashi Takenouchi, Ricardo Pio Monti, Aapo Hyvärinen:
Robust contrastive learning and nonlinear ICA in the presence of outliers. CoRR abs/1911.00265 (2019) - 2018
- [j4]Ricardo Pio Monti, Christoforos Anagnostopoulos, Giovanni Montana:
Adaptive regularization for Lasso models in the context of nonstationary data streams. Stat. Anal. Data Min. 11(5): 237-247 (2018) - [c6]Ricardo Pio Monti, Sina Tootoonian, Robin Cao:
Avoiding Degradation in Deep Feed-Forward Networks by Phasing Out Skip-Connections. ICANN (3) 2018: 447-456 - [c5]Ricardo Pio Monti, Aapo Hyvärinen:
A unified probabilistic model for learning latent factors and their connectivities from high-dimensional data . UAI 2018: 300-309 - [i3]Ricardo Pio Monti, Aapo Hyvärinen:
A Unified Probabilistic Model for Learning Latent Factors and Their Connectivities from High-Dimensional Data. CoRR abs/1805.09567 (2018) - 2017
- [j3]Ricardo Pio Monti, Romy Lorenz, Peter Hellyer, Robert Leech, Christoforos Anagnostopoulos, Giovanni Montana:
Decoding Time-Varying Functional Connectivity Networks via Linear Graph Embedding Methods. Frontiers Comput. Neurosci. 11: 14 (2017) - 2016
- [j2]Romy Lorenz, Ricardo Pio Monti, Inês R. Violante, Christoforos Anagnostopoulos, Aldo A. Faisal, Giovanni Montana, Robert Leech:
The Automatic Neuroscientist: A framework for optimizing experimental design with closed-loop real-time fMRI. NeuroImage 129: 320-334 (2016) - [c4]Ai Wern Chung, Emanuele Pesce, Ricardo Pio Monti, Giovanni Montana:
Classifying HCP task-fMRI networks using heat kernels. PRNI 2016: 1-4 - [c3]Romy Lorenz, Ricardo Pio Monti, Adam Hampshire, Yury Koush, Christoforos Anagnostopoulos, Aldo A. Faisal, David J. Sharp, Giovanni Montana, Robert Leech, Inês R. Violante:
Towards tailoring non-invasive brain stimulation using real-time fMRI and Bayesian optimization. PRNI 2016: 1-4 - [c2]Ricardo Pio Monti, Romy Lorenz, Robert Leech, Christoforos Anagnostopoulos, Giovanni Montana:
Text-mining the neurosynth corpus using deep boltzmann machines. PRNI 2016: 1-4 - [i2]Ricardo Pio Monti, Romy Lorenz, Robert Leech, Christoforos Anagnostopoulos, Giovanni Montana:
Text-mining the NeuroSynth corpus using Deep Boltzmann Machines. CoRR abs/1605.00223 (2016) - [i1]Ricardo Pio Monti, Christoforos Anagnostopoulos, Giovanni Montana:
A framework for adaptive regularization in streaming Lasso models. CoRR abs/1610.09127 (2016) - 2015
- [c1]Ricardo Pio Monti, Romy Lorenz, Peter Hellyer, Robert Leech, Christoforos Anagnostopoulos, Giovanni Montana:
Graph Embeddings of Dynamic Functional Connectivity Reveal Discriminative Patterns of Task Engagement in HCP Data. PRNI 2015: 1-4 - 2014
- [j1]Ricardo Pio Monti, Peter Hellyer, David J. Sharp, Robert Leech, Christoforos Anagnostopoulos, Giovanni Montana:
Estimating time-varying brain connectivity networks from functional MRI time series. NeuroImage 103: 427-443 (2014)
Coauthor Index
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