Research map / Probabilistic and scientific modeling / Variational and generative sampling
VAE Approximation Error: ELBO and Exponential Families
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Closest papers by meaning
- Improving Variational Autoencoders with Density Gap-based Regularization (NeurIPS 2022 · similarity 0.90)
- SHOT-VAE: Semi-supervised Deep Generative Models With Label-aware ELBO Approximations (AAAI 2021 · similarity 0.90)
- Embrace the Gap: VAEs Perform Independent Mechanism Analysis (NeurIPS 2022 · similarity 0.90)
- Trading Information between Latents in Hierarchical Variational Autoencoders (ICLR 2023 · similarity 0.89)
- Beyond Vanilla Variational Autoencoders: Detecting Posterior Collapse in Conditional and Hierarchical Variational Autoencoders (ICLR 2024 · similarity 0.89)
- EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling (ICML 2025 · similarity 0.88)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.