Theoretical Study on the Evidential Learning-based Variational Autoencoder

arXiv:2609.27853 · stat.ML, cs.LG, cs.NE, math.ST, stat.TH · Submitted 2026-08-19 · Read on arXiv

stat.ML, cs.LG, cs.NE, math.ST, stat.TH

Submitted: 2026-08-19

Updated: 2026-08-19

Terminology

• Calibration — 13× in this paper · explained in 7 episodes
• Degeneracy — 8× in this paper · explained in 3 episodes
• Regularization — 5× in this paper · explained in 3 episodes
• Consistency — 3× in this paper · explained in 3 episodes
• Self-consistency — 3× in this paper · explained in 2 episodes
• Aggregation — 2× in this paper · explained in 1 episode
• Latent Representation — 2× in this paper · explained in 2 episodes
• Uncertainty Decomposition — 2× in this paper · explained in 2 episodes
• Epistemic Uncertainty — 1× in this paper · explained in 10 episodes
• Gauge Freedom — 1× in this paper · explained in 2 episodes
• Generative AI — 1× in this paper · explained in 2 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Generative Models — 1× in this paper · explained in 2 episodes
• Redundancy — 1× in this paper · explained in 2 episodes
• Uncertainty Quantification — 1× in this paper · explained in 8 episodes
• Variational Bayes — 1× in this paper · explained in 2 episodes

Sources

• ELVAE: Evidential Learning-Based Variational Autoencoder for Uncertainty-Aware Generation

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