4 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.AI2026
SEER: Supervised Learning to Control Energetic Reasoning
Sascha Van Cauwelaert, Michele Lombardi, Pierre Schaus
One of the main strengths of Constraint Programming is the ability to reduce the search space via propagation. However, propagation is a double-edged sword, with more pruning power…
cs.LG2026★ 4 cited
Score Function Gradient Estimation to Widen the Applicability of Decision-Focused Learning
Mattia Silvestri, Senne Berden, Jayanta Mandi +4
Many real-world optimization problems contain parameters that are unknown before deployment time, either due to stochasticity or to lack of information (e.g., demand or travel time…