Empirical Variational Autoencoder
cs.LG
Submitted: 2026-10-05
Updated: 2026-10-05
Project page: https://mapooon.github.io/EVAPage
Sources
- Layer Normalization
- Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images
- Generating Sequences With Recurrent Neural Networks
- PixelVAE: A Latent Variable Model for Natural Images
- Auto-Encoding Variational Bayes
- Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation
- WaveNet: A Generative Model for Raw Audio
- SimFlow: Simplified and End-to-End Training of Latent Normalizing Flows
- Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model
Related papers
- Polynomial-Augmented Neural Networks (PANNs) with Weak Orthogonality Constraints for Enhanced Function and PDE Approximation
- AIRL-S: Unifying Reinforcement Learning and Search-Based Test-Time Scaling via Adversarial Inverse Reinforcement Learning
- Transformers as Bayesian In-Context Experimenters: Smoothness-Adaptive Efficient ATE Estimation
- Convergence issues in Relational Concept Analysis based on AOC-posets
- Beliefs Beyond Posteriors: The Predictive Cost of ELBO Binding
- Understanding Diffusion Models via Ratio-Based Function Approximation with SignReLU Networks