Uncertainty Quantification of Next Generation Reservoir Computing with Applications to Memory-Driven Dynamical Systems

arXiv:2609.32169 · stat.ML, cs.LG · Submitted 2026-09-26 · Read on arXiv

stat.ML, cs.LG

Submitted: 2026-09-26

Updated: 2026-09-26

Terminology

• Calibration — 120× in this paper · explained in 7 episodes
• Conformal Prediction — 61× in this paper · explained in 5 episodes
• Trace — 46× in this paper · explained in 2 episodes
• Benchmark — 41× in this paper · explained in 2 episodes
• Uncertainty Quantification — 23× in this paper · explained in 8 episodes
• Regularization — 18× in this paper · explained in 3 episodes
• Robustness — 13× in this paper · explained in 5 episodes
• Transformer — 13× in this paper · explained in 2 episodes
• Adaptation — 7× in this paper · explained in 1 episode
• Accuracy — 6× in this paper · explained in 1 episode
• Exchangeability — 5× in this paper · explained in 2 episodes
• Alignment — 3× in this paper · explained in 1 episode
• Distribution Shift — 3× in this paper · explained in 6 episodes
• Empirical Coverage — 3× in this paper · explained in 2 episodes
• Verification — 2× in this paper · explained in 2 episodes
• Ablation — 1× in this paper · explained in 1 episode
• Adam — 1× in this paper · explained in 2 episodes
• Bayesian Inference — 1× in this paper · explained in 5 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Cosine Similarity — 1× in this paper · explained in 3 episodes
• Memory Augmentation — 1× in this paper · explained in 2 episodes
• Non-asymptotic Analysis — 1× in this paper · explained in 2 episodes
• Online Adaptation — 1× in this paper · explained in 3 episodes
• Time Series Forecasting — 1× in this paper · explained in 3 episodes
• Transformer Models — 1× in this paper · explained in 2 episodes

Sources

• Characterizing the Training-Conditional Coverage of Full Conformal Inference in High Dimensions

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