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A unified theory of interpretability that leverages Lagrangian mechanics to transform opaque models into interpretable ones, revealing new research avenues and design principles.
Longer context windows in time series forecasting aren't just about capturing dependencies鈥攖hey're essential for reducing uncertainty in the underlying generative processes.
