17 citations · 50 across the 10 of their papers we have counts for
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stat.ML2016
Complex-valued Gaussian Process Regression for Time Series Analysis
Luca Ambrogioni, Eric Maris
The construction of synthetic complex-valued signals from real-valued observations is an important step in many time series analysis techniques. The most widely used approach is ba…
stat.ML2016
Analysis of Nonstationary Time Series Using Locally Coupled Gaussian Processes
Luca Ambrogioni, Eric Maris
The analysis of nonstationary time series is of great importance in many scientific fields such as physics and neuroscience. In recent years, Gaussian process regression has attrac…
q-bio.NC2016★ 17 cited
Dynamic Decomposition of Spatiotemporal Neural Signals
Luca Ambrogioni, Marcel A. J. van Gerven, Eric Maris
Neural signals are characterized by rich temporal and spatiotemporal dynamics that reflect the organization of cortical networks. Theoretical research has shown how neural networks…