Unverified
2026
Pareto-Sparse Fractional Dynamics Layer
Add a sparse, interpretable fractional-dynamics layer to a neural world model: candidate terms are evaluated through weak projections, while both their support and continuous derivative orders are selected by validation error versus model complexity. This avoids forcing the model to choose from a dense fixed dictionary containing many nearly collinear fractional orders.
Paper: Robust data-driven discovery of fractional differential equations via weak formulations and Pareto-based subset selection
arXiv:2608.12879