2 papers
cs.AI2026
Exact Regular-Constrained Variable-Order Markov Generation via Sparse Context-State Belief Propagation
François Pachet
Variable-order Markov models generate sequences over a finite alphabet by conditioning each symbol on the longest available suffix of the generated history. Regular constraints, by…
cs.AI2026
Maximum Entropy Relaxation of Multi-Way Cardinality Constraints for Synthetic Population Generation
François Pachet, Jean-Daniel Zucker
Generating synthetic populations from aggregate statistics is a core component of microsimulation, agent-based modeling, policy analysis, and privacy-preserving data release. Beyon…