3 problems
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Conjecture on the cause of poor one-step CCA+LoRA prediction
CCA+LoRA one-step conjecture. The particularly poor prediction quality of CCA+LoRA when is caused by the absence of the action of Koopman matrices.
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Conjecture that nesting improves convergence by focusing parametric models on important signals
Nesting-convergence conjecture. The nesting technique helps the parametric models to focus on the most important signals, and thus improves the overall convergence.
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Proportional error bounds for Koopman estimates under alternative sampling strategies
Proportional error-bound conjecture. For other sampling strategies, such as ergodic sampling, similar arguments to those used for the proportional error bound should apply if the e…