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08/29/2023
A Hybrid Membership Latent Distance Model for Unsigned and Signed Integer Weighted Networks
Graph representation learning (GRL) has become a prominent tool for furt...
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01/23/2023
Characterizing Polarization in Social Networks using the Signed Relational Latent Distance Model
Graph representation learning has become a prominent tool for the charac...
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12/23/2022
Piecewise-Velocity Model for Learning Continuous-time Dynamic Node Representations
Networks have become indispensable and ubiquitous structures in many fie...
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04/12/2022
A Hierarchical Block Distance Model for Ultra Low-Dimensional Graph Representations
Graph Representation Learning (GRL) has become central for characterizin...
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02/06/2020
Short Term Blood Glucose Prediction based on Continuous Glucose Monitoring Data
Continuous Glucose Monitoring (CGM) has enabled important opportunities ...
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06/21/2018
Probabilistic PARAFAC2
The PARAFAC2 is a multimodal factor analysis model suitable for analyzin...
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01/04/2016
Nonparametric Modeling of Dynamic Functional Connectivity in fMRI Data
Dynamic functional connectivity (FC) has in recent years become a topic ...
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08/12/2015
Bayesian Dropout
Dropout has recently emerged as a powerful and simple method for trainin...
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05/31/2014
Adaptive Reconfiguration Moves for Dirichlet Mixtures
Bayesian mixture models are widely applied for unsupervised learning and...
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12/20/2013
Non-parametric Bayesian modeling of complex networks
Modeling structure in complex networks using Bayesian non-parametrics ma...
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11/11/2013