The -Alternator adapts to varying noise levels in sequences, improving robustness and performance.
problem Current models assume uniform noise levels, limiting performance on noisy temporal data.
method Introduces -Alternator using Vendi Score to dynamically adjust noise sensitivity.
result Outperforms Alternators and state-of-the-art models in trajectory prediction, imputation, and forecasting.