Giovanni de Felice

Recursive message passing achieves 99% Sudoku-Extreme accuracy with just 16k parameters, outperforming larger neural baselines on N-queens and SAT with zero-shot generalization.

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—they're essential for reducing uncertainty in the underlying generative processes.