DecoVAE: a Lightweight Interpretable Trend-Seasonal VAE Framework for Efficient Probabilistic Time Series Forecasting

arXiv:2608.20052 · cs.LG · Submitted 2026-08-20 · Read on arXiv

cs.LG

Submitted: 2026-08-20

Updated: 2026-09-25

Terminology

• Regularization — 27× in this paper · explained in 3 episodes
• Time Series Forecasting — 25× in this paper · explained in 3 episodes
• Accuracy — 9× in this paper · explained in 1 episode
• Embeddings — 9× in this paper · explained in 2 episodes
• Loss Function — 7× in this paper · explained in 2 episodes
• Latent Representation — 6× in this paper · explained in 2 episodes
• Benchmark — 5× in this paper · explained in 2 episodes
• Diffusion Model — 5× in this paper · explained in 8 episodes
• Diffusion Models — 5× in this paper · explained in 6 episodes
• Transformer — 5× in this paper · explained in 2 episodes
• Interpretability — 4× in this paper · explained in 15 episodes
• Latent Space — 4× in this paper · explained in 7 episodes
• Ablation — 3× in this paper · explained in 1 episode
• Ablation study — 3× in this paper · explained in 1 episode
• Generative Model — 3× in this paper · explained in 2 episodes
• Generative Models — 3× in this paper · explained in 2 episodes
• Continuous Ranked Probability Score — 2× in this paper
• Fidelity — 2× in this paper · explained in 2 episodes
• Flow Matching — 2× in this paper · explained in 8 episodes
• Foundation Model — 2× in this paper · explained in 3 episodes
• Normalized Mean Absolute Error — 2× in this paper
• Probabilistic Forecasting — 2× in this paper · explained in 3 episodes
• Trajectory Flow Matching — 2× in this paper
• Alignment — 1× in this paper · explained in 1 episode
• Benchmarking — 1× in this paper · explained in 3 episodes
• Clustering — 1× in this paper · explained in 2 episodes
• Composite Loss Function — 1× in this paper · explained in 2 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Distribution Shift — 1× in this paper · explained in 5 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Latent Representations — 1× in this paper · explained in 3 episodes
• Normalizing Flow — 1× in this paper · explained in 3 episodes
• Normalizing Flows — 1× in this paper · explained in 4 episodes
• Objective Function — 1× in this paper · explained in 2 episodes
• Parsimony — 1× in this paper · explained in 2 episodes
• Principal Component Analysis (PCA) — 1× in this paper · explained in 4 episodes
• Principle Component Analysis — 1× in this paper
• Reconstruction Error — 1× in this paper · explained in 2 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Uncertainty Quantification — 1× in this paper · explained in 8 episodes
• Unified Framework — 1× in this paper · explained in 5 episodes

Sources

• It's TIME: Towards the Next Generation of Time Series Forecasting Benchmarks
• Time Series Analysis in Frequency Domain: A Survey of Open Challenges, Opportunities and Benchmarks
• $K^2$VAE: A Koopman-Kalman Enhanced Variational AutoEncoder for Probabilistic Time Series Forecasting

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