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2024 ICML ICML 2024

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

Abstract

No abstract available. No abstract was captured for this paper when its proceedings were scraped - most often an older edition published without one online. How the corpus is built.

Authors

Maksim Sinelnikov, Manuel Haussmann, Harri Lahdesmaki

Topics

Artificial Intelligence > Bayesian & Probabilistic > Probabilistic Modeling Machine Learning > Core Methods > Representation Learning Deep Learning > Models > Generative Models

Keywords

gaussian processes point process latent variable model variational autoencoder amortised variational inference structured missingness
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