Ricardo Pio Monti

Publication Activity (10 Years)

Years Active: 2014-2023
Publications (10 Years): 25

Top Topics

Causal Discovery

Adaptive Regularization

Functional Connectivity

Top Venues

Publications

Aapo Hyvärinen, Ilyes Khemakhem, Ricardo Pio Monti
Identifiability of latent-variable and structural-equation models: from linear to nonlinear. CoRR (2023)
Joey Bose, Ricardo Pio Monti, Aditya Grover
Controllable Generative Modeling via Causal Reasoning. Trans. Mach. Learn. Res. 2022 (2022)
Ilyes Khemakhem, Ricardo Pio Monti, Robert Leech, Aapo Hyvärinen
Causal Autoregressive Flows. AISTATS (2021)
Hiroaki Sasaki, Takashi Takenouchi, Ricardo Pio Monti, Aapo Hyvärinen
Robust contrastive learning and nonlinear ICA in the presence of outliers. UAI (2020)
Ilyes Khemakhem, Ricardo Pio Monti, Robert Leech, Aapo Hyvärinen
Causal Autoregressive Flows. CoRR (2020)
Ilyes Khemakhem, Diederik P. Kingma, Ricardo Pio Monti, Aapo Hyvärinen
Variational Autoencoders and Nonlinear ICA: A Unifying Framework. AISTATS (2020)
Ricardo Pio Monti, Ilyes Khemakhem, Aapo Hyvärinen
Autoregressive flow-based causal discovery and inference. CoRR (2020)
Ilyes Khemakhem, Ricardo Pio Monti, Diederik P. Kingma, Aapo Hyvärinen
ICE-BeeM: Identifiable Conditional Energy-Based Deep Models Based on Nonlinear ICA. NeurIPS (2020)
Ilyes Khemakhem, Ricardo Pio Monti, Diederik P. Kingma, Aapo Hyvärinen
ICE-BeeM: Identifiable Conditional Energy-Based Deep Models. CoRR (2020)
Pedro F. da Costa, Romy Lorenz, Ricardo Pio Monti, Emily Jones, Robert Leech
Bayesian optimization for automatic design of face stimuli. CoRR (2020)
Hiroaki Sasaki, Takashi Takenouchi, Ricardo Pio Monti, Aapo Hyvärinen
Robust contrastive learning and nonlinear ICA in the presence of outliers. CoRR (2019)
Ricardo Pio Monti, Kun Zhang, Aapo Hyvärinen
Causal Discovery with General Non-Linear Relationships using Non-Linear ICA. UAI (2019)
Ricardo Pio Monti, Kun Zhang, Aapo Hyvärinen
Causal Discovery with General Non-Linear Relationships Using Non-Linear ICA. CoRR (2019)
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 (2019)
Ricardo Pio Monti, Aapo Hyvärinen
A Unified Probabilistic Model for Learning Latent Factors and Their Connectivities from High-Dimensional Data. CoRR (2018)
Ricardo Pio Monti, Sina Tootoonian, Robin Cao
Avoiding Degradation in Deep Feed-Forward Networks by Phasing Out Skip-Connections. ICANN (3) (2018)
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) (2018)
Ricardo Pio Monti, Aapo Hyvärinen
A unified probabilistic model for learning latent factors and their connectivities from high-dimensional data . UAI (2018)
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 (2017)
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)
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 (2016)
Ricardo Pio Monti, Christoforos Anagnostopoulos, Giovanni Montana
A framework for adaptive regularization in streaming Lasso models. CoRR (2016)
Ricardo Pio Monti, Romy Lorenz, Robert Leech, Christoforos Anagnostopoulos, Giovanni Montana
Text-mining the NeuroSynth corpus using Deep Boltzmann Machines. CoRR (2016)
Ricardo Pio Monti, Romy Lorenz, Robert Leech, Christoforos Anagnostopoulos, Giovanni Montana
Text-mining the neurosynth corpus using deep boltzmann machines. PRNI (2016)
Ai Wern Chung, Emanuele Pesce, Ricardo Pio Monti, Giovanni Montana
Classifying HCP task-fMRI networks using heat kernels. PRNI (2016)
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)
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 (2014)