21 citations · 39 across the 11 of their papers we have counts for
17 papers
Spectral clustering of network time series via the sample covariance matrix
Brendan Martin, Joshua Agterberg, Mihai Cucuringu +2
Spectral clustering for community detection is analysed in multivariate time series models whose dependence structure is determined by an unobserved stochastic blockmodel. We estab…
Convergence guarantees for response prediction for latent structure network time series
Aranyak Acharyya, Francesco Sanna Passino, Michael W. Trosset +1
In this article, we propose a technique to predict the response associated with an unlabeled time series of networks in a semisupervised setting. Our model involves a collection of…
Doubly unfolded adjacency spectral embedding of dynamic multiplex graphs
Maximilian Baum, Francesco Sanna Passino, Axel Gandy
Many real-world networks evolve dynamically over time and present different types of connections between nodes, often called layers. In this work, we propose a latent position mode…
Targeted synthetic data generation for tabular data via hardness characterization
Tommaso Ferracci, Leonie Tabea Goldmann, Anton Hinel +1
Data augmentation via synthetic data generation has been shown to be effective in improving model performance and robustness in the context of scarce or low-quality data. Using the…
Approximate learning of parsimonious Bayesian context trees
Daniyar Ghani, Nicholas A. Heard, Francesco Sanna Passino
Models for categorical sequences typically assume exchangeable or first-order dependent sequence elements. These are common assumptions, for example, in models of computer malware…
NIRVAR: Network Informed Restricted Vector Autoregression
Brendan Martin, Francesco Sanna Passino, Mihai Cucuringu +1
High-dimensional panels of time series often arise in finance and macroeconomics, where co-movements within groups of panel components occur. Extracting these groupings from the da…