| 2023 | Breaking Symmetries with High Dimensional Graph Invariants and Their Combination. | Avraham Itzhakov, Michael Codish |
| 2023 | ZDD-Based Algorithmic Framework for Solving Shortest Reconfiguration Problems. | Takehiro Ito, Jun Kawahara, Yu Nakahata, Takehide Soh, Akira Suzuki, Junichi Teruyama, Takahisa Toda |
| 2023 | Branch & Learn with Post-hoc Correction for Predict+Optimize with Unknown Parameters in Constraints. | Xinyi Hu, Jasper C. H. Lee, Jimmy H. M. Lee |
| 2023 | Local Branching Relaxation Heuristics for Integer Linear Programs. | Taoan Huang, Aaron M. Ferber, Yuandong Tian, Bistra Dilkina, Benoit Steiner |
| 2023 | Handling Symmetries in Mixed-Integer Semidefinite Programs. | Christopher Hojny, Marc E. Pfetsch |
| 2023 | Boolean-Arithmetic Equations: Acquisition and Uses. | Ramiz Gindullin, Nicolas Beldiceanu, Jovial Cheukam-Ngouonou, Rmi Douence, Claude-Guy Quimper |
| 2023 | Optimization Bounds from Decision Diagrams in Haddock. | Rebecca Gentzel, Laurent Michel, Willem-Jan van Hoeve |
| 2023 | Predicting Wildlife Trafficking Routes with Differentiable Shortest Paths. | Aaron M. Ferber, Emily Griffin, Bistra Dilkina, Burcu B. Keskin, Meredith Gore |
| 2023 | OAMIP: Optimizing ANN Architectures Using Mixed-Integer Programming. | Mostafa ElAraby, Guy Wolf, Margarida Carvalho |
| 2023 | Predicting the Optimal Period for Cyclic Hoist Scheduling Problems. | Nikolaos Efthymiou, Neil Yorke-Smith |
| 2023 | Generating Random Instances of Weighted Model Counting - An Empirical Analysis with Varying Primal Treewidth. | Paulius Dilkas |
| 2023 | Ner4Opt: Named Entity Recognition for Optimization Modelling from Natural Language. | Parag Pravin Dakle, Serdar Kadioglu, Karthik Uppuluri, Regina Politi, Preethi Raghavan, SaiKrishna Rallabandi, Ravisutha Srinivasamurthy |
| 2023 | Interpretable Clustering via Soft Clustering Trees. | Eldan Cohen |
| 2023 | Online Learning for Scheduling MIP Heuristics. | Antonia Chmiela, Ambros M. Gleixner, Pawel Lichocki, Sebastian Pokutta |
| 2023 | Scalable and Near-Optimal ε-Tube Clusterwise Regression. | Aravinth Chembu, Scott Sanner, Elias B. Khalil |
| 2023 | Getting Away with More Network Pruning: From Sparsity to Geometry and Linear Regions. | Junyang Cai, Khai-Nguyen Nguyen, Nishant Shrestha, Aidan Good, Ruisen Tu, Xin Yu, Shandian Zhe, Thiago Serra |
| 2023 | Exploiting Entropy in Constraint Programming. | Auguste Burlats, Gilles Pesant |
| 2023 | Efficiently Approximating High-Dimensional Pareto Frontiers for Tree-Structured Networks Using Expansion and Compression. | Yiwei Bai, Qinru Shi, Marc Grimson, Alexander Flecker, Carla P. Gomes |
| 2022 | Model-Based Approaches to Multi-attribute Diverse Matching. | Jiachen Zhang, Giovanni Lo Bianco, J. Christopher Beck |
| 2022 | Analyzing the Reachability Problem in Choice Networks. | Piotr Wojciechowski, K. Subramani, Alvaro Velasquez |
| 2022 | A Parallel Algorithm for GAC Filtering of the Alldifferent Constraint. | Wijnand Suijlen, Flix de Framond, Arnaud Lallouet, Antoine Petitet |
| 2022 | Enumerated Types and Type Extensions for MiniZinc. | Peter J. Stuckey, Guido Tack |
| 2022 | Hybrid Offline/Online Optimization for Energy Management via Reinforcement Learning. | Mattia Silvestri, Allegra De Filippo, Federico Ruggeri, Michele Lombardi |
| 2022 | Practically Uniform Solution Sampling in Constraint Programming. | Gilles Pesant, Claude-Guy Quimper, Hlne Verhaeghe |
| 2022 | A MinCumulative Resource Constraint. | Yanick Ouellet, Claude-Guy Quimper |