Functional Autoencoders for Amplitude-Phase Representation Learning

arXiv:2609.34207 · stat.ML, cs.LG · Submitted 2026-09-28 · Read on arXiv

stat.ML, cs.LG

Submitted: 2026-09-28

Updated: 2026-09-28

Terminology

• Clustering — 60× in this paper · explained in 2 episodes
• Alignment — 29× in this paper · explained in 1 episode
• Embeddings — 26× in this paper · explained in 2 episodes
• Reconstruction Error — 10× in this paper · explained in 2 episodes
• Accuracy — 8× in this paper · explained in 1 episode
• Representation Learning — 6× in this paper · explained in 2 episodes
• Robustness — 6× in this paper · explained in 5 episodes
• Benchmark — 4× in this paper · explained in 2 episodes
• Downstream Tasks — 2× in this paper · explained in 2 episodes
• Generative AI — 2× in this paper · explained in 2 episodes
• Regularization — 2× in this paper · explained in 3 episodes
• Synthetic Data Generation — 2× in this paper · explained in 5 episodes
• Ablation — 1× in this paper · explained in 1 episode
• Adam — 1× in this paper · explained in 2 episodes
• Core — 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
• Latent Representation — 1× in this paper · explained in 2 episodes
• Latent Space — 1× in this paper · explained in 7 episodes
• Time Series Forecasting — 1× in this paper · explained in 3 episodes

Sources

• The UEA multivariate time series classification archive, 2018
• Registration of Functional Data Using Fisher-Rao Metric

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