Hierarchical VAE
Hierarchical Variational Autoencoder
Papers Using This Method
Unveiling Secrets of Brain Function With Generative Modeling: Motion Perception in Primates & Cortical Network Organization in Mice2024-12-25Hierarchical VAE with a Diffusion-based VampPrior2024-12-02FissionVAE: Federated Non-IID Image Generation with Latent Space and Decoder Decomposition2024-08-30Theoretical Bound-Guided Hierarchical VAE for Neural Image Codecs2024-03-27Combining Hierachical VAEs with LLMs for clinically meaningful timeline summarisation in social media2024-01-29Improving Unsupervised Hierarchical Representation with Reinforcement Learning2024-01-01Hierarchical VAEs provide a normative account of motion processing in the primate brain2023-09-21Diffusion Variational Autoencoder for Tackling Stochasticity in Multi-Step Regression Stock Price Prediction2023-08-18Slot-VAE: Object-Centric Scene Generation with Slot Attention2023-06-12Beyond Vanilla Variational Autoencoders: Detecting Posterior Collapse in Conditional and Hierarchical Variational Autoencoders2023-06-08Discouraging posterior collapse in hierarchical Variational Autoencoders using context2023-02-20QARV: Quantization-Aware ResNet VAE for Lossy Image Compression2023-02-16Predictive World Models from Real-World Partial Observations2023-01-12LION: Latent Point Diffusion Models for 3D Shape Generation2022-10-12Efficient-VDVAE: Less is more2022-03-25Missing Data Imputation and Acquisition with Deep Hierarchical Models and Hamiltonian Monte Carlo2022-02-09SetVAE: Learning Hierarchical Composition for Generative Modeling of Set-Structured Data2021-03-29Spatial Dependency Networks: Neural Layers for Improved Generative Image Modeling2021-03-16Hierarchical Variational Autoencoder for Visual Counterfactuals2021-02-01HAVANA: Hierarchical and Variation-Normalized Autoencoder for Person Re-identification2021-01-06