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Christopher Yau

Disentangling shared and private latent factors in multimodal Variational Autoencoders

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Mar 10, 2024
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A Multi-Resolution Framework for U-Nets with Applications to Hierarchical VAEs

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Jan 19, 2023
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Multi-Facet Clustering Variational Autoencoders

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Jun 09, 2021
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Neural Decomposition: Functional ANOVA with Variational Autoencoders

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Jun 25, 2020
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BasisVAE: Translation-invariant feature-level clustering with Variational Autoencoders

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Mar 06, 2020
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Bayesian Nonparametric Boolean Factor Models

Jun 28, 2019
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Covariate Gaussian Process Latent Variable Models

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Oct 16, 2018
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TensOrMachine: Probabilistic Boolean Tensor Decomposition

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May 11, 2018
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Testing and Learning on Distributions with Symmetric Noise Invariance

Nov 05, 2017
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Rejection-free Ensemble MCMC with applications to Factorial Hidden Markov Models

Mar 24, 2017
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