Vincent Fortuin

On Disentanglement in Gaussian Process Variational Autoencoders

2021 · arXiv (Cornell University)

Complex multivariate time series arise in many fields, ranging from computer vision to robotics or medicine. Often we are interested in the independent underlying factors that give rise to the high-dimensional data we are observing. …

Data-Driven Discovery of Feature Groups in Clinical Time Series

2025 · arXiv (Cornell University)

Clinical time series data are critical for patient monitoring and predictive modeling. These time series are typically multivariate and often comprise hundreds of heterogeneous features from different data sources. The grouping of features based on …