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stat.ML2024
Decomposable Transformer Point Processes
Aristeidis Panos
The standard paradigm of modeling marked point processes is by parameterizing the intensity function using an attention-based (Transformer-style) architecture. Despite the flexibil…
stat.ML2018
Fully Scalable Gaussian Processes using Subspace Inducing Inputs
Aristeidis Panos, Petros Dellaportas, Michalis K. Titsias
We introduce fully scalable Gaussian processes, an implementation scheme that tackles the problem of treating a high number of training instances together with high dimensional inp…