Tias Guns

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 86

Top Venues

CoRR

IJCAI

AAAI

Publications

Dimosthenis C. Tsouros, Senne Berden, Tias Guns
Learning to Learn in Interactive Constraint Acquisition. AAAI (2024)
Kostis Michailidis, Dimos Tsouros, Tias Guns
Constraint Modelling with LLMs Using In-Context Learning. CP (2024)
Rocsildes Canoy, Victor Bucarey, Jayanta Mandi, Maxime Mulamba, Yves Molenbruch, Tias Guns
Probability estimation and structured output prediction for learning preferences in last mile delivery. Comput. Ind. Eng. 189 (2024)
Wout Vanroose, Ignace Bleukx, Jo Devriendt, Dimos Tsouros, Hélène Verhaeghe, Tias Guns
Mutational Fuzz Testing for Constraint Modeling Systems. CP (2024)
Bastián Véjar, Gaël Aglin, Ali Irfan Mahmutogullari, Siegfried Nijssen, Pierre Schaus, Tias Guns
An Efficient Structured Perceptron for NP-Hard Combinatorial Optimization Problems. CPAIOR (2) (2024)
Emilio Gamba, Bart Bogaerts, Tias Guns
Efficiently Explaining CSPs with Unsatisfiable Subset Optimization. J. Artif. Intell. Res. 78 (2023)
Dimos Tsouros, Senne Berden, Tias Guns
Learning to Learn in Interactive Constraint Acquisition. CoRR (2023)
Emilio Gamba, Bart Bogaerts, Tias Guns
Efficiently Explaining CSPs with Unsatisfiable Subset Optimization (extended algorithms and examples). CoRR (2023)
Dimos Tsouros, Hélène Verhaeghe, Serdar Kadioglu, Tias Guns
Holy Grail 2.0: From Natural Language to Constraint Models. CoRR (2023)
Léonard Tschora, Tias Guns, Erwan Pierre, Marc Plantevit, Céline Robardet
Electricity Price Forecasting based on Order Books: a differentiable optimization approach. DSAA (2023)
Jonas Witt, Stef Rasing, Sebastijan Dumancic, Tias Guns, Claus-Christian Carbon
A Divide-Align-Conquer Strategy for Program Synthesis. CoRR (2023)
Dimos Tsouros, Senne Berden, Tias Guns
Guided Bottom-Up Interactive Constraint Acquisition. CoRR (2023)
Mattia Silvestri, Senne Berden, Jayanta Mandi, Ali Irfan Mahmutogullari, Maxime Mulamba, Allegra De Filippo, Tias Guns, Michele Lombardi
Score Function Gradient Estimation to Widen the Applicability of Decision-Focused Learning. CoRR (2023)
Dimosthenis C. Tsouros, Senne Berden, Tias Guns
Guided Bottom-Up Interactive Constraint Acquisition. CP (2023)
Jayanta Mandi, James Kotary, Senne Berden, Maxime Mulamba, Victor Bucarey, Tias Guns, Ferdinando Fioretto
Decision-Focused Learning: Foundations, State of the Art, Benchmark and Future Opportunities. CoRR (2023)
Ignace Bleukx, Jo Devriendt, Emilio Gamba, Bart Bogaerts, Tias Guns
Simplifying Step-Wise Explanation Sequences. CP (2023)
Tias Guns, Emilio Gamba, Maxime Mulamba, Ignace Bleukx, Senne Berden, Milan Pesa
Sudoku Assistant - an AI-Powered App to Help Solve Pen-and-Paper Sudokus. AAAI (2023)
Rocsildes Canoy, Víctor Bucarey, Jayanta Mandi, Tias Guns
Learn and route: learning implicit preferences for vehicle routing. Constraints An Int. J. 28 (3) (2023)
Rocsildes Canoy, Victor Bucarey, Yves Molenbruch, Maxime Mulamba, Jayanta Mandi, Tias Guns
Probability estimation and structured output prediction for learning preferences in last mile delivery. CoRR (2022)
George Petrides, Darie Moldovan, Lize Coenen, Tias Guns, Wouter Verbeke
Cost-sensitive learning for profit-driven credit scoring. J. Oper. Res. Soc. 73 (2) (2022)
Senne Berden, Mohit Kumar, Samuel Kolb, Tias Guns
Learning MAX-SAT Models from Examples Using Genetic Algorithms and Knowledge Compilation. CP (2022)
Stefano Teso, Laurens Bliek, Andrea Borghesi, Michele Lombardi, Neil Yorke-Smith, Tias Guns, Andrea Passerini
Machine Learning for Combinatorial Optimisation of Partially-Specified Problems: Regret Minimisation as a Unifying Lens. CoRR (2022)
Mohit Kumar, Samuel Kolb, Tias Guns
Learning Constraint Programming Models from Data Using Generate-And-Aggregate. CP (2022)
Jayanta Mandi, Víctor Bucarey, Maxime Mulamba Ke Tchomba, Tias Guns
Decision-Focused Learning: Through the Lens of Learning to Rank. ICML (2022)
Lize Coenen, Wouter Verbeke, Tias Guns
Machine learning methods for short-term probability of default: A comparison of classification, regression and ranking methods. J. Oper. Res. Soc. 73 (1) (2022)
Floris Devriendt, Jente Van Belle, Tias Guns, Wouter Verbeke
Learning to Rank for Uplift Modeling. IEEE Trans. Knowl. Data Eng. 34 (10) (2022)
Tias Guns
From Inductive Databases to a Modeling Language for Pattern Mining, to a Next-Generation Library for Constraint Solving (extended abstract). KDID (2022)
Ligia Maria Moreira Zorello, Laurens Bliek, Sebastian Troia, Tias Guns, Sicco Verwer, Guido Maier
Baseband-Function Placement With Multi-Task Traffic Prediction for 5G Radio Access Networks. IEEE Trans. Netw. Serv. Manag. 19 (4) (2022)
Ignace Bleukx, Senne Berden, Lize Coenen, Nicholas Decleyre, Tias Guns
Model-Based Algorithm Configuration with Adaptive Capping and Prior Distributions. CPAIOR (2022)
Rocsildes Canoy, Victor Bucarey, Jayanta Mandi, Tias Guns
Learn-n-Route: Learning implicit preferences for vehicle routing. CoRR (2021)
Maxime Mulamba, Jayanta Mandi, Michelangelo Diligenti, Michele Lombardi, Victor Bucarey, Tias Guns
Contrastive Losses and Solution Caching for Predict-and-Optimize. IJCAI (2021)
Bart Bogaerts, Emilio Gamba, Tias Guns
A framework for step-wise explaining how to solve constraint satisfaction problems. Artif. Intell. 300 (2021)
Jayanta Mandi, Rocsildes Canoy, Víctor Bucarey, Tias Guns
Data Driven VRP: A Neural Network Model to Learn Hidden Preferences for VRP. CoRR (2021)
Jente Van Belle, Tias Guns, Wouter Verbeke
Using shared sell-through data to forecast wholesaler demand in multi-echelon supply chains. Eur. J. Oper. Res. 288 (2) (2021)
Emilio Gamba, Bart Bogaerts, Tias Guns
Efficiently Explaining CSPs with Unsatisfiable Subset Optimization. IJCAI (2021)
Sebastijan Dumancic, Tias Guns, Andrew Cropper
Knowledge Refactoring for Inductive Program Synthesis. AAAI (2021)
Emilio Gamba, Bart Bogaerts, Tias Guns
Efficiently Explaining CSPs with Unsatisfiable Subset Optimization. CoRR (2021)
Jayanta Mandi, Víctor Bucarey, Maxime Mulamba, Tias Guns
Predict and Optimize: Through the Lens of Learning to Rank. CoRR (2021)
Gregory Martin, Matthieu Donain, Élisa Fromont, Tias Guns, Laurence Rozé, Alexandre Termier
Prediction-Based Fleet Relocation for Free Floating Car Sharing Services. ICTAI (2021)
Jayanta Mandi, Rocsildes Canoy, Víctor Bucarey, Tias Guns
Data Driven VRP: A Neural Network Model to Learn Hidden Preferences for VRP. CP (2021)
Maxime Mulamba, Jayanta Mandi, Rocsildes Canoy, Tias Guns
Hybrid Classification and Reasoning for Image-based Constraint Solving. CoRR (2020)
Maxime Mulamba, Jayanta Mandi, Michelangelo Diligenti, Michele Lombardi, Victor Bucarey, Tias Guns
Discrete solution pools and noise-contrastive estimation for predict-and-optimize. CoRR (2020)
Bart Bogaerts, Emilio Gamba, Tias Guns
A framework for step-wise explaining how to solve constraint satisfaction problems. CoRR (2020)
Emir Demirovic, Peter J. Stuckey, Tias Guns, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao, Jeffrey Chan
Dynamic Programming for Predict+Optimise. AAAI (2020)
Jayanta Mandi, Tias Guns
Interior Point Solving for LP-based prediction+optimisation. NeurIPS (2020)
Jayanta Mandi, Emir Demirovic, Peter J. Stuckey, Tias Guns
Smart Predict-and-Optimize for Hard Combinatorial Optimization Problems. AAAI (2020)
Maxime Mulamba, Jayanta Mandi, Rocsildes Canoy, Tias Guns
Hybrid Classification and Reasoning for Image-Based Constraint Solving. CPAIOR (2020)
Floris Devriendt, Tias Guns, Wouter Verbeke
Learning to rank for uplift modeling. CoRR (2020)
Gökberk Koçak, Özgür Akgün, Tias Guns, Ian Miguel
Exploiting Incomparability in Solution Dominance: Improving General Purpose Constraint-Based Mining. ECAI (2020)
Bart Bogaerts, Emilio Gamba, Jens Claes, Tias Guns
Step-Wise Explanations of Constraint Satisfaction Problems. ECAI (2020)
Jayanta Mandi, Tias Guns
Interior Point Solving for LP-based prediction+optimisation. CoRR (2020)
Lize Coenen, Ahmed K. A. Abdullah, Tias Guns
Probability of default estimation, with a reject option. DSAA (2020)
Sebastijan Dumancic, Tias Guns, Wannes Meert, Hendrik Blockeel
Learning Relational Representations with Auto-encoding Logic Programs. CoRR (2019)
Jayanta Mandi, Emir Demirovic, Peter J. Stuckey, Tias Guns
Smart Predict-and-Optimize for Hard Combinatorial Optimization Problems. CoRR (2019)
Emir Demirovic, Peter J. Stuckey, James Bailey, Jeffrey Chan, Chris Leckie, Kotagiri Ramamohanarao, Tias Guns
An Investigation into Prediction + Optimisation for the Knapsack Problem. CPAIOR (2019)
Sebastijan Dumancic, Tias Guns, Wannes Meert, Hendrik Blockeel
Learning Relational Representations with Auto-encoding Logic Programs. IJCAI (2019)
Jens Claes, Bart Bogaerts, Rocsildes Canoy, Emilio Gamba, Tias Guns
ZebraTutor: Explaining How to Solve Logic Grid Puzzles. BNAIC/BENELEARN (2019)
Rocsildes Canoy, Tias Guns
Vehicle Routing by Learning from Historical Solutions. BNAIC/BENELEARN (2019)
Rocsildes Canoy, Tias Guns
Vehicle routing by learning from historical solutions. CoRR (2019)
Gökberk Koçak, Özgür Akgün, Tias Guns, Ian Miguel
Towards Improving Solution Dominance with Incomparability Conditions: A case-study using Generator Itemset Mining. CoRR (2019)
Rocsildes Canoy, Tias Guns
Vehicle Routing by Learning from Historical Solutions. CP (2019)
Sheida Hadavi, Sara Verlinde, Wouter Verbeke, Cathy Macharis, Tias Guns
Monitoring Urban-Freight Transport Based on GPS Trajectories of Heavy-Goods Vehicles. IEEE Trans. Intell. Transp. Syst. 20 (10) (2019)
Emir Demirovic, Peter J. Stuckey, James Bailey, Jeffrey Chan, Christopher Leckie, Kotagiri Ramamohanarao, Tias Guns
Predict+Optimise with Ranking Objectives: Exhaustively Learning Linear Functions. IJCAI (2019)
Tias Guns, Peter J. Stuckey, Guido Tack
Solution Dominance over Constraint Satisfaction Problems. CoRR (2018)
John O. R. Aoga, Tias Guns, Siegfried Nijssen, Pierre Schaus
Finding Probabilistic Rule Lists using the Minimum Description Length Principle. DS (2018)
Andrea Passerini, Guido Tack, Tias Guns
Introduction to the special issue on Combining Constraint Solving with Mining and Learning. Artif. Intell. 244 (2017)
Sergey Paramonov, Tao Chen, Tias Guns
Generic Mining of Condensed Pattern Representations under Constraints. YSIP (2017)
Samuel Kolb, Sergey Paramonov, Tias Guns, Luc De Raedt
Learning constraints in spreadsheets and tabular data. Mach. Learn. 106 (9-10) (2017)
Pierre Schaus, John O. R. Aoga, Tias Guns
CoverSize: A Global Constraint for Frequency-Based Itemset Mining. CP (2017)
Christian Bessiere, Luc De Raedt, Tias Guns, Lars Kotthoff, Mirco Nanni, Siegfried Nijssen, Barry O'Sullivan, Anastasia Paparrizou, Dino Pedreschi, Helmut Simonis
The Inductive Constraint Programming Loop. IEEE Intell. Syst. 32 (5) (2017)
Tias Guns, Anton Dries, Siegfried Nijssen, Guido Tack, Luc De Raedt
MiningZinc: A declarative framework for constraint-based mining. Artif. Intell. 244 (2017)
John O. R. Aoga, Tias Guns, Pierre Schaus
Mining Time-constrained Sequential Patterns with Constraint Programming. Constraints An Int. J. 22 (4) (2017)
Sergey Paramonov, Samuel Kolb, Tias Guns, Luc De Raedt
TaCLe: Learning Constraints in Tabular Data. CIKM (2017)
Behrouz Babaki, Tias Guns, Luc De Raedt
Stochastic Constraint Programming with And-Or Branch-and-Bound. IJCAI (2017)
Tias Guns, Sergey Paramonov, Benjamin Négrevergne
On Declarative Modeling of Structured Pattern Mining. AAAI Workshop: Declarative Learning Based Programming (2016)
John O. R. Aoga, Tias Guns, Pierre Schaus
An Efficient Algorithm for Mining Frequent Sequence with Constraint Programming. ECML/PKDD (2) (2016)
Tias Guns, Thi-Bich-Hanh Dao, Christel Vrain, Khanh-Chuong Duong
Repetitive Branch-and-Bound Using Constraint Programming for Constrained Minimum Sum-of-Squares Clustering. ECAI (2016)
John O. R. Aoga, Tias Guns, Pierre Schaus
An Efficient Algorithm for Mining Frequent Sequence with Constraint Programming. CoRR (2016)
Tias Guns, Achille Aknin, Jefrey Lijffijt, Tijl De Bie
Direct Mining of Subjectively Interesting Relational Patterns. ICDM (2016)
Tias Guns
Towards generic and efficient constraint-based mining, a constraint programming approach. EGC (2016)
Andrea Rendl, Tias Guns, Peter J. Stuckey, Guido Tack
MiniSearch: A Solver-Independent Meta-Search Language for MiniZinc. CP (2015)
Tias Guns
Declarative pattern mining using constraint programming. Constraints An Int. J. 20 (4) (2015)
Christian Bessiere, Luc De Raedt, Tias Guns, Lars Kotthoff, Mirco Nanni, Siegfried Nijssen, Barry O'Sullivan, Anastasia Paparrizou, Dino Pedreschi, Helmut Simonis
The Inductive Constraint Programming Loop. CoRR (2015)
Behrouz Babaki, Tias Guns, Siegfried Nijssen, Luc De Raedt
Constraint-Based Querying for Bayesian Network Exploration. IDA (2015)
Benjamin Négrevergne, Tias Guns
Constraint-Based Sequence Mining Using Constraint Programming. CPAIOR (2015)
Benjamin Négrevergne, Tias Guns
Constraint-based sequence mining using constraint programming. CoRR (2015)
Behrouz Babaki, Tias Guns, Siegfried Nijssen
Constrained Clustering Using Column Generation. CPAIOR (2014)
Tias Guns, Anton Dries, Guido Tack, Siegfried Nijssen, Luc De Raedt
The MiningZinc Framework for Constraint-Based Itemset Mining. ICDM Workshops (2013)
Tias Guns, Anton Dries, Guido Tack, Siegfried Nijssen, Luc De Raedt
MiningZinc: A Modeling Language for Constraint-Based Mining. IJCAI (2013)
Tias Guns, Siegfried Nijssen, Luc De Raedt
k-Pattern Set Mining under Constraints. IEEE Trans. Knowl. Data Eng. 25 (2) (2013)
Benjamin Négrevergne, Anton Dries, Tias Guns, Siegfried Nijssen
Dominance Programming for Itemset Mining. ICDM (2013)
Thanh Le Van, Ana Carolina Fierro, Tias Guns, Matthijs van Leeuwen, Siegfried Nijssen, Luc De Raedt, Kathleen Marchal
Mining Local Staircase Patterns in Noisy Data. ICDM Workshops (2012)
Tias Guns, Siegfried Nijssen, Luc De Raedt
Evaluating Pattern Set Mining Strategies in a Constraint Programming Framework. PAKDD (2) (2011)
Siegfried Nijssen, Aída Jiménez, Tias Guns
Constraint-Based Pattern Mining in Multi-relational Databases. ICDM Workshops (2011)
Tias Guns, Siegfried Nijssen, Albrecht Zimmermann, Luc De Raedt
Declarative Heuristic Search for Pattern Set Mining. ICDM Workshops (2011)
Tias Guns, Siegfried Nijssen, Luc De Raedt
Itemset mining: A constraint programming perspective. Artif. Intell. 175 (12-13) (2011)
Siegfried Nijssen, Tias Guns
Integrating Constraint Programming and Itemset Mining. ECML/PKDD (2) (2010)
Tias Guns, Hong Sun, Kathleen Marchal, Siegfried Nijssen
Cis-regulatory module detection using constraint programming. BIBM (2010)
Luc De Raedt, Tias Guns, Siegfried Nijssen
Constraint Programming for Data Mining and Machine Learning. AAAI (2010)
Siegfried Nijssen, Tias Guns, Luc De Raedt
Correlated itemset mining in ROC space: a constraint programming approach. KDD (2009)

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Publication Activity (10 Years)

Top Topics

Top Venues

Tias Guns