Time-warping estimation via stationarity-based learning of the de-warped signal

arXiv:2609.16796 · stat.ML, cs.LG · Submitted 2026-09-15 · Read on arXiv

stat.ML, cs.LG

Submitted: 2026-09-15

Updated: 2026-09-15

Journal ref: 2026 IEEE International Workshop on Machine Learning for Signal Processing, Sep 2026, Atlanta, France

Code: https://github.com/CorentinPresvots/time-warping-estimation

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Wavelet Transform — 10× in this paper · explained in 2 episodes
• Inverse Problem — 6× in this paper · explained in 2 episodes
• Robustness — 4× in this paper · explained in 5 episodes
• Accuracy — 3× in this paper · explained in 1 episode
• Wide-Sense Stationary — 3× in this paper
• Time-Warping Estimation Trainable — 2× in this paper
• Activation Function — 1× in this paper · explained in 1 episode
• Aggregation — 1× in this paper · explained in 1 episode
• Alignment — 1× in this paper · explained in 1 episode
• Consistency — 1× in this paper · explained in 3 episodes
• Downstream Tasks — 1× in this paper · explained in 2 episodes
• Feature Extraction — 1× in this paper · explained in 2 episodes
• Gaussian Error Linear Unit — 1× in this paper
• Generalization — 1× in this paper · explained in 13 episodes
• Mean Squared Error — 1× in this paper
• Non-stationarity — 1× in this paper · explained in 2 episodes
• Objective Function — 1× in this paper · explained in 2 episodes
• Reconstruction Error — 1× in this paper · explained in 2 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Wavelet Scale Barycenter — 1× in this paper

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