Tag: Variational Autoencoder
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Instance-Adaptive VAE for Efficient Variational Inference
Discover how instance-adaptive parametrization improves variational autoencoders, reducing the amortization gap for better inference accuracy and efficienc...
MO-RiskVAE: Multi-Omics Survival Risk Model for Myeloma
Discover MO-RiskVAE, a multi-omics variational autoencoder improving survival risk prediction in multiple myeloma through advanced latent space modeling.
λSplit: Advanced Self-Supervised Spectral Unmixing for Microscopy
Discover λSplit, a self-supervised model enhancing spectral unmixing accuracy in fluorescence microscopy with noise robustness and structural priors.
Variational Lossy Autoencoder: Advanced Data Compression
Explore how Variational Lossy Autoencoders enhance data compression and generation for images, anomaly detection, and more with AI-driven methods.