| 2026 | AAAI | Using Certifying Constraint Solvers for Generating Step-wise Explanations. | Ignace Bleukx, Maarten Flippo, Bart Bogaerts, Emir Demirovic, Tias Guns |
| 2026 | AAAI | Preference Elicitation for Step-Wise Explanations in Logic Puzzles. | Marco Foschini, Marianne Defresne, Emilio Gamba, Bart Bogaerts, Tias Guns |
| 2026 | CP | Table Constraints for Integer Programming. | Hendrik Bierlee, Wout Piessens, Tias Guns, Peter J. Stuckey |
| 2026 | CP | Towards Step-Wise Explanations of Large Search Trees (Short Paper). | Ignace Bleukx, Peter J. Stuckey, Tias Guns |
| 2026 | CP | From CP Modeling to Preference Elicitation in HMLV Assembly Problems. | Marco Foschini, Emilio Gamba, Lucas Kletzander, Tias Guns |
| 2026 | SAT | Unified Programmatic Access to CO Benchmarks, to Connect Constraint Solving Communities (Tool Paper). | Thomas Sergeys, Ignace Bleukx, Tias Guns |
| 2025 | AAAI | Exploiting Symmetries in MUS Computation. | Ignace Bleukx, Hlne Verhaeghe, Bart Bogaerts, Tias Guns |
| 2025 | AAAI | Generalizing Constraint Models in Constraint Acquisition. | Dimos Tsouros, Senne Berden, Steven Prestwich, Tias Guns |
| 2025 | CP | Modeling and Explaining an Industrial Workforce Allocation and Scheduling Problem. | Ignace Bleukx, Ryma Boumazouza, Tias Guns, Nadine Laage, Guillaume Povda |
| 2025 | ECAI | Minimizing Surrogate Losses for Decision-Focused Learning Using Differentiable Optimization. | Jayanta Mandi, Ali Irfan Mahmutogullari, Senne Berden, Tias Guns |
| 2025 | ECAI | CP-Bench: Evaluating Large Language Models for Constraint Modelling. | Kostis Michailidis, Dimos Tsouros, Tias Guns |
| 2025 | IJCAI | Preference Elicitation for Multi-objective Combinatorial Optimization with Active Learning and Maximum Likelihood Estimation. | Marianne Defresne, Jayanta Mandi, Tias Guns |
| 2025 | SAT | Improving Reduction Techniques in Pseudo-Boolean Conflict Analysis. | Orestis Lomis, Jo Devriendt, Hendrik Bierlee, Tias Guns |
| 2024 | AAAI | Learning to Learn in Interactive Constraint Acquisition. | Dimosthenis C. Tsouros, Senne Berden, Tias Guns |
| 2024 | CP | Constraint Modelling with LLMs Using In-Context Learning. | Kostis Michailidis, Dimos Tsouros, Tias Guns |
| 2024 | CP | Mutational Fuzz Testing for Constraint Modeling Systems. | Wout Vanroose, Ignace Bleukx, Jo Devriendt, Dimos Tsouros, Hlne Verhaeghe, Tias Guns |
| 2024 | CPAIOR | An Efficient Structured Perceptron for NP-Hard Combinatorial Optimization Problems. | Bastin Vjar, Gal Aglin, Ali Irfan Mahmutogullari, Siegfried Nijssen, Pierre Schaus, Tias Guns |
| 2024 | ECAI | Decision-Focused Learning to Predict Action Costs for Planning. | Jayanta Mandi, Marco Foschini, Daniel Hller, Sylvie Thibaux, Jrg Hoffmann, Tias Guns |
| 2023 | AAAI | Sudoku Assistant - an AI-Powered App to Help Solve Pen-and-Paper Sudokus. | Tias Guns, Emilio Gamba, Maxime Mulamba, Ignace Bleukx, Senne Berden, Milan Pesa |
| 2023 | CP | Simplifying Step-Wise Explanation Sequences. | Ignace Bleukx, Jo Devriendt, Emilio Gamba, Bart Bogaerts, Tias Guns |
| 2023 | CP | Guided Bottom-Up Interactive Constraint Acquisition. | Dimosthenis C. Tsouros, Senne Berden, Tias Guns |
| 2023 | DSAA | Electricity Price Forecasting based on Order Books: a differentiable optimization approach. | Lonard Tschora, Tias Guns, Erwan Pierre, Marc Plantevit, Cline Robardet |
| 2022 | CP | Learning Constraint Programming Models from Data Using Generate-And-Aggregate. | Mohit Kumar, Samuel Kolb, Tias Guns |
| 2022 | CP | Learning MAX-SAT Models from Examples Using Genetic Algorithms and Knowledge Compilation. | Senne Berden, Mohit Kumar, Samuel Kolb, Tias Guns |
| 2022 | CPAIOR | Model-Based Algorithm Configuration with Adaptive Capping and Prior Distributions. | Ignace Bleukx, Senne Berden, Lize Coenen, Nicholas Decleyre, Tias Guns |
| 2022 | ICML | Decision-Focused Learning: Through the Lens of Learning to Rank. | Jayanta Mandi, Vctor Bucarey, Maxime Mulamba Ke Tchomba, Tias Guns |
| 2021 | AAAI | Knowledge Refactoring for Inductive Program Synthesis. | Sebastijan Dumancic, Tias Guns, Andrew Cropper |
| 2021 | CP | Data Driven VRP: A Neural Network Model to Learn Hidden Preferences for VRP. | Jayanta Mandi, Rocsildes Canoy, Vctor Bucarey, Tias Guns |
| 2021 | IJCAI | Efficiently Explaining CSPs with Unsatisfiable Subset Optimization. | Emilio Gamba, Bart Bogaerts, Tias Guns |
| 2021 | IJCAI | Contrastive Losses and Solution Caching for Predict-and-Optimize. | Maxime Mulamba, Jayanta Mandi, Michelangelo Diligenti, Michele Lombardi, Victor Bucarey, Tias Guns |
| 2021 | ICTAI | Prediction-Based Fleet Relocation for Free Floating Car Sharing Services. | Gregory Martin, Matthieu Donain, lisa Fromont, Tias Guns, Laurence Roz, Alexandre Termier |
| 2020 | AAAI | Dynamic Programming for Predict+Optimise. | Emir Demirovic, Peter J. Stuckey, Tias Guns, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao, Jeffrey Chan |
| 2020 | AAAI | Smart Predict-and-Optimize for Hard Combinatorial Optimization Problems. | Jayanta Mandi, Emir Demirovic, Peter J. Stuckey, Tias Guns |
| 2020 | CPAIOR | Hybrid Classification and Reasoning for Image-Based Constraint Solving. | Maxime Mulamba, Jayanta Mandi, Rocsildes Canoy, Tias Guns |
| 2020 | DSAA | Probability of default estimation, with a reject option. | Lize Coenen, Ahmed K. A. Abdullah, Tias Guns |
| 2020 | ECAI | Step-Wise Explanations of Constraint Satisfaction Problems. | Bart Bogaerts, Emilio Gamba, Jens Claes, Tias Guns |
| 2020 | ECAI | Exploiting Incomparability in Solution Dominance: Improving General Purpose Constraint-Based Mining. | Gkberk Koak, zgr Akgn, Tias Guns, Ian Miguel |
| 2019 | CP | Vehicle Routing by Learning from Historical Solutions. | Rocsildes Canoy, Tias Guns |
| 2019 | CPAIOR | An Investigation into Prediction + Optimisation for the Knapsack Problem. | Emir Demirovic, Peter J. Stuckey, James Bailey, Jeffrey Chan, Chris Leckie, Kotagiri Ramamohanarao, Tias Guns |
| 2019 | IJCAI | Predict+Optimise with Ranking Objectives: Exhaustively Learning Linear Functions. | Emir Demirovic, Peter J. Stuckey, James Bailey, Jeffrey Chan, Christopher Leckie, Kotagiri Ramamohanarao, Tias Guns |
| 2019 | IJCAI | Learning Relational Representations with Auto-encoding Logic Programs. | Sebastijan Dumancic, Tias Guns, Wannes Meert, Hendrik Blockeel |
| 2018 | DIS | Finding Probabilistic Rule Lists using the Minimum Description Length Principle. | John O. R. Aoga, Tias Guns, Siegfried Nijssen, Pierre Schaus |
| 2017 | CIKM | TaCLe: Learning Constraints in Tabular Data. | Sergey Paramonov, Samuel Kolb, Tias Guns, Luc De Raedt |
| 2017 | CP | CoverSize: A Global Constraint for Frequency-Based Itemset Mining. | Pierre Schaus, John O. R. Aoga, Tias Guns |
| 2017 | IJCAI | Stochastic Constraint Programming with And-Or Branch-and-Bound. | Behrouz Babaki, Tias Guns, Luc De Raedt |
| 2016 | AAAI | On Declarative Modeling of Structured Pattern Mining. | Tias Guns, Sergey Paramonov, Benjamin Ngrevergne |
| 2016 | ECAI | Repetitive Branch-and-Bound Using Constraint Programming for Constrained Minimum Sum-of-Squares Clustering. | Tias Guns, Thi-Bich-Hanh Dao, Christel Vrain, Khanh-Chuong Duong |
| 2016 | ICDM | Direct Mining of Subjectively Interesting Relational Patterns. | Tias Guns, Achille Aknin, Jefrey Lijffijt, Tijl De Bie |
| 2015 | CP | MiniSearch: A Solver-Independent Meta-Search Language for MiniZinc. | Andrea Rendl, Tias Guns, Peter J. Stuckey, Guido Tack |
| 2015 | CPAIOR | Constraint-Based Sequence Mining Using Constraint Programming. | Benjamin Ngrevergne, Tias Guns |
| 2015 | IDA | Constraint-Based Querying for Bayesian Network Exploration. | Behrouz Babaki, Tias Guns, Siegfried Nijssen, Luc De Raedt |
| 2014 | CPAIOR | Constrained Clustering Using Column Generation. | Behrouz Babaki, Tias Guns, Siegfried Nijssen |
| 2013 | ICDM | The MiningZinc Framework for Constraint-Based Itemset Mining. | Tias Guns, Anton Dries, Guido Tack, Siegfried Nijssen, Luc De Raedt |
| 2013 | ICDM | Dominance Programming for Itemset Mining. | Benjamin Ngrevergne, Anton Dries, Tias Guns, Siegfried Nijssen |
| 2013 | IJCAI | MiningZinc: A Modeling Language for Constraint-Based Mining. | Tias Guns, Anton Dries, Guido Tack, Siegfried Nijssen, Luc De Raedt |
| 2012 | ICDM | Mining Local Staircase Patterns in Noisy Data. | Thanh Le Van, Ana Carolina Fierro, Tias Guns, Matthijs van Leeuwen, Siegfried Nijssen, Luc De Raedt, Kathleen Marchal |
| 2011 | ICDM | Declarative Heuristic Search for Pattern Set Mining. | Tias Guns, Siegfried Nijssen, Albrecht Zimmermann, Luc De Raedt |
| 2011 | ICDM | Constraint-Based Pattern Mining in Multi-relational Databases. | Siegfried Nijssen, Ada Jimnez, Tias Guns |
| 2011 | PAKDD | Evaluating Pattern Set Mining Strategies in a Constraint Programming Framework. | Tias Guns, Siegfried Nijssen, Luc De Raedt |
| 2010 | AAAI | Constraint Programming for Data Mining and Machine Learning. | Luc De Raedt, Tias Guns, Siegfried Nijssen |
| 2009 | KDD | Correlated itemset mining in ROC space: a constraint programming approach. | Siegfried Nijssen, Tias Guns, Luc De Raedt |
| 2008 | KDD | Constraint programming for itemset mining. | Luc De Raedt, Tias Guns, Siegfried Nijssen |