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cs.AI2026
DPNL: A DPLL-based Algorithm for Probabilistic Neurosymbolic Learning
Thomas Jean-Michel Valentin, Pierre Genev{è}s, Luisa Sophie Werner +3
Probabilistic Neurosymbolic Learning (PNL) combines neural predictions with symbolic reasoning, enabling end-to-end learning from final-output supervision without labels for interm…
cs.DB2026
Optimizing Relational Queries over Array-Valued Data in Columnar Systems
Maroua Zeblah, Etienne Couritas, Sarah Chlyah +3
Modern analytical workloads increasingly combine relational data with array-valued attributes. While columnar database systems efficiently process such workloads, their ability to…