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- Aperture: an Anytime, Complete, and Incremental Solver for MaxSAT and Beyond (Work-in-Progress)
Alexander Nadel, Yam Slonimski, and Ofer Strichman
- Fair Constraint Satisfaction: An Approximate Algorithm and Preliminary Results
Javier Larrosa, David García-Soriano, and Miguel Escribano
- On the use of ML and LLM for hard scheduling problems
Guillaume Povéda and Florent Teichteil-Koenigsbuch
- Memorizing Unified Graph and Language Representations for SMT Algorithm Selection (accepted to CP 2026)
Zhengyang Lu, Paul Sarnighausen-Cahn, Jiahao Chen, Arie Gurfinkel, Florin Manea, and Vijay Ganesh
- Enhanced Lower Bound Computation in Branch-and-Bound for MaxSAT (accepted to CP 2026)
Jialu Zhang, Chu-Min Li, Sami Cherif, and Shuolin Li
- Pseudo-Boolean Conflict Analysis
Benjamin Bogø, Wietze Koops, Jakob Nordström, and Alexander Tesch
- Quadratic Assignment Problems in Cost Function Networks (extended version of CPAIOR 2026)
Guidio Sewa, Coralie Marchau, David Allouche, Simon de Givry, George Katsirelos, and Thomas Schiex
- Efficiently Solving Constraint Optimization Problems Using Learning-Based Techniques
Romaissa Ghlib, Abdelkader Ouali, Jean-Luc Lamotte, and Samir Loudni
- Certified Implicit Hitting Set Solving with Local Search for Pseudo-Boolean Optimization
Benjamin Bogø, Xiamin Chen, Wietze Koops, Pinyan Lu, Jakob Nordström, Marc Vinyals, and Qingzhao Wu
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