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Maksim Sinelnikov

2 accepted papers

2025

Bayesian Basis Function Approximation for Scalable Gaussian Process Priors in Deep Generative Models

ICML 2025poster

High-dimensional time-series datasets are common in domains such as healthcare and economics. Variational autoencoder (VAE) models, where latent variables are modeled with a Gaussian process (GP) prior, have become a prominent model class to analyze such correlated datasets. However, their applicati…

Cited by 0SourcePDFScholar
2024

Latent variable model for high-dimensional point process with structured missingness

ICML 2024poster

Longitudinal data are important in numerous fields, such as healthcare, sociology and seismology, but real-world datasets present notable challenges for practitioners because they can be high-dimensional, contain structured missingness patterns, and measurement time points can be governed by an unkn…