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Variational Inference

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TitleStatusHype
Gray-box inference for structured Gaussian process models—0
Group Factor Analysis—0
Half-AVAE: Adversarial-Enhanced Factorized and Structured Encoder-Free VAE for Underdetermined Independent Component Analysis—0
Half-VAE: An Encoder-Free VAE to Bypass Explicit Inverse Mapping—0
Hamiltonian Policy Optimization—0
Hamiltonian Policy Optimization in Reinforcement Learning—0
Refining Latent Representations: A Generative SSL Approach for Heterogeneous Graph Learning—0
Hierarchical Bayes Autoencoders—0
Hierarchical Bayesian Personalized Recommendation: A Case Study and Beyond—0
Hierarchical Implicit Models and Likelihood-Free Variational Inference—0
Hierarchical mixtures of Unigram models for short text clustering: The role of Beta-Liouville priors—0
Hierarchical models for neural population dynamics in the presence of non-stationarity—0
Hierarchical Sparse Bayesian Multitask Model with Scalable Inference for Microbiome Analysis—0
HierVST: Hierarchical Adaptive Zero-shot Voice Style Transfer—0
Higher-Order Inference for Multi-Class Log-Supermodular Models—0
High Mutual Information in Representation Learning with Symmetric Variational Inference—0
Homeostatic plasticity in Bayesian spiking networks as Expectation Maximization with posterior constraints—0
How particular is the physics of the free energy principle?—0
How to deal with missing data in supervised deep learning?—0
Hybrid Bayesian Neural Networks with Functional Probabilistic Layers—0
Hybrid Variational Autoencoder for Time Series Forecasting—0
Hyperspectral Unmixing Under Endmember Variability: A Variational Inference Framework—0
Variational Hyper-Encoding Networks—0
Identifiable Feature Learning for Spatial Data with Nonlinear ICA—0
Identifying signal and noise structure in neural population activity with Gaussian process factor models—0
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