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02/13/2023
Variational Mixture of HyperGenerators for Learning Distributions Over Functions
Recent approaches build on implicit neural representations (INRs) to pro...
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02/09/2022
Missing Data Imputation and Acquisition with Deep Hierarchical Models and Hamiltonian Monte Carlo
Variational Autoencoders (VAEs) have recently been highly successful at ...
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12/15/2020
Unsupervised Learning of Global Factors in Deep Generative Models
We present a novel deep generative model based on non i.i.d. variational...
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11/06/2019
