Tias Guns

According to our database, Tias Guns authored at least 87 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Learning to Learn in Interactive Constraint Acquisition.

Dimosthenis C. Tsouros, Senne Berden, Tias Guns

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Learn and route: learning implicit preferences for vehicle routing.

Rocsildes Canoy, Víctor Bucarey, Jayanta Mandi, Tias Guns

Constraints An Int. J., September, 2023

Efficiently Explaining CSPs with Unsatisfiable Subset Optimization.

Emilio Gamba, Bart Bogaerts, Tias Guns

J. Artif. Intell. Res., 2023

Holy Grail 2.0: From Natural Language to Constraint Models.

Dimosthenis C. Tsouros, Hélène Verhaeghe, Serdar Kadioglu, Tias Guns

CoRR, 2023

Decision-Focused Learning: Foundations, State of the Art, Benchmark and Future Opportunities.

Jayanta Mandi, James Kotary, Senne Berden, Maxime Mulamba, Victor Bucarey, Tias Guns, Ferdinando Fioretto

CoRR, 2023

Score Function Gradient Estimation to Widen the Applicability of Decision-Focused Learning.

Mattia Silvestri, Senne Berden, Jayanta Mandi, Ali Irfan Mahmutogullari, Maxime Mulamba, Allegra De Filippo, Tias Guns, Michele Lombardi

CoRR, 2023

Efficiently Explaining CSPs with Unsatisfiable Subset Optimization (extended algorithms and examples).

Emilio Gamba, Bart Bogaerts, Tias Guns

CoRR, 2023

A Divide-Align-Conquer Strategy for Program Synthesis.

Jonas Witt, Stef Rasing, Sebastijan Dumancic, Tias Guns, Claus-Christian Carbon

CoRR, 2023

Electricity Price Forecasting based on Order Books: a differentiable optimization approach.

Léonard Tschora, Tias Guns, Erwan Pierre, Marc Plantevit, Céline Robardet

Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023

Guided Bottom-Up Interactive Constraint Acquisition.

Dimosthenis C. Tsouros, Senne Berden, Tias Guns

Proceedings of the 29th International Conference on Principles and Practice of Constraint Programming, 2023

Simplifying Step-Wise Explanation Sequences.

Ignace Bleukx, Jo Devriendt, Emilio Gamba, Bart Bogaerts, Tias Guns

Proceedings of the 29th International Conference on Principles and Practice of Constraint Programming, 2023

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

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Baseband-Function Placement With Multi-Task Traffic Prediction for 5G Radio Access Networks.

Ligia Maria Moreira Zorello, Laurens Bliek, Sebastian Troia, Tias Guns, Sicco Verwer, Guido Maier

IEEE Trans. Netw. Serv. Manag., December, 2022

Learning to Rank for Uplift Modeling.

Floris Devriendt, Jente Van Belle, Tias Guns, Wouter Verbeke

IEEE Trans. Knowl. Data Eng., 2022

Cost-sensitive learning for profit-driven credit scoring.

George Petrides, Darie Moldovan, Lize Coenen, Tias Guns, Wouter Verbeke

J. Oper. Res. Soc., 2022

Machine learning methods for short-term probability of default: A comparison of classification, regression and ranking methods.

Lize Coenen, Wouter Verbeke, Tias Guns

J. Oper. Res. Soc., 2022

Machine Learning for Combinatorial Optimisation of Partially-Specified Problems: Regret Minimisation as a Unifying Lens.

Stefano Teso, Laurens Bliek, Andrea Borghesi, Michele Lombardi, Neil Yorke-Smith, Tias Guns, Andrea Passerini

CoRR, 2022

Probability estimation and structured output prediction for learning preferences in last mile delivery.

Rocsildes Canoy, Victor Bucarey, Yves Molenbruch, Maxime Mulamba, Jayanta Mandi, Tias Guns

CoRR, 2022

From Inductive Databases to a Modeling Language for Pattern Mining, to a Next-Generation Library for Constraint Solving (extended abstract).

Tias Guns

Proceedings of the 20th anniversary Workshop on Knowledge Discovery in Inductive Databases co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2022 (ECMLPKDD 2022), 2022

Decision-Focused Learning: Through the Lens of Learning to Rank.

Jayanta Mandi, Víctor Bucarey, Maxime Mulamba Ke Tchomba, Tias Guns

Proceedings of the International Conference on Machine Learning, 2022

Model-Based Algorithm Configuration with Adaptive Capping and Prior Distributions.

Ignace Bleukx, Senne Berden, Lize Coenen, Nicholas Decleyre, Tias Guns

Proceedings of the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, 2022

Learning MAX-SAT Models from Examples Using Genetic Algorithms and Knowledge Compilation.

Senne Berden, Mohit Kumar, Samuel Kolb, Tias Guns

Proceedings of the 28th International Conference on Principles and Practice of Constraint Programming, 2022

Learning Constraint Programming Models from Data Using Generate-And-Aggregate.

Mohit Kumar, Samuel Kolb, Tias Guns

Proceedings of the 28th International Conference on Principles and Practice of Constraint Programming, 2022

2021

Using shared sell-through data to forecast wholesaler demand in multi-echelon supply chains.

Jente Van Belle, Tias Guns, Wouter Verbeke

Eur. J. Oper. Res., 2021

Predict and Optimize: Through the Lens of Learning to Rank.

Jayanta Mandi, Víctor Bucarey, Maxime Mulamba, Tias Guns

CoRR, 2021

Learn-n-Route: Learning implicit preferences for vehicle routing.

Rocsildes Canoy, Victor Bucarey, Jayanta Mandi, Tias Guns

CoRR, 2021

A framework for step-wise explaining how to solve constraint satisfaction problems.

Bart Bogaerts, Emilio Gamba, Tias Guns

Artif. Intell., 2021

Contrastive Losses and Solution Caching for Predict-and-Optimize.

Maxime Mulamba, Jayanta Mandi, Michelangelo Diligenti, Michele Lombardi, Victor Bucarey, Tias Guns

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Prediction-Based Fleet Relocation for Free Floating Car Sharing Services.

Gregory Martin, Matthieu Donain, Élisa Fromont, Tias Guns, Laurence Rozé, Alexandre Termier

Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

Data Driven VRP: A Neural Network Model to Learn Hidden Preferences for VRP.

Jayanta Mandi, Rocsildes Canoy, Víctor Bucarey, Tias Guns

Proceedings of the 27th International Conference on Principles and Practice of Constraint Programming, 2021

Knowledge Refactoring for Inductive Program Synthesis.

Sebastijan Dumancic, Tias Guns, Andrew Cropper

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Discrete solution pools and noise-contrastive estimation for predict-and-optimize.

Maxime Mulamba, Jayanta Mandi, Michelangelo Diligenti, Michele Lombardi, Victor Bucarey, Tias Guns

CoRR, 2020

Learning to rank for uplift modeling.

Floris Devriendt, Tias Guns, Wouter Verbeke

CoRR, 2020

Interior Point Solving for LP-based prediction+optimisation.

Jayanta Mandi, Tias Guns

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Exploiting Incomparability in Solution Dominance: Improving General Purpose Constraint-Based Mining.

Gökberk Koçak, Özgür Akgün, Tias Guns, Ian Miguel

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

Step-Wise Explanations of Constraint Satisfaction Problems.

Bart Bogaerts, Emilio Gamba, Jens Claes, Tias Guns

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

Probability of default estimation, with a reject option.

Lize Coenen, Ahmed K. A. Abdullah, Tias Guns

Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 2020

Hybrid Classification and Reasoning for Image-Based Constraint Solving.

Maxime Mulamba, Jayanta Mandi, Rocsildes Canoy, Tias Guns

Proceedings of the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, 2020

Smart Predict-and-Optimize for Hard Combinatorial Optimization Problems.

Jayanta Mandi, Emir Demirovic, Peter J. Stuckey, Tias Guns

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Dynamic Programming for Predict+Optimise.

Emir Demirovic, Peter J. Stuckey, Tias Guns, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao, Jeffrey Chan

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Monitoring Urban-Freight Transport Based on GPS Trajectories of Heavy-Goods Vehicles.

Sheida Hadavi, Sara Verlinde, Wouter Verbeke, Cathy Macharis, Tias Guns

IEEE Trans. Intell. Transp. Syst., 2019

Towards Improving Solution Dominance with Incomparability Conditions: A case-study using Generator Itemset Mining.

Gökberk Koçak, Özgür Akgün, Tias Guns, Ian Miguel

CoRR, 2019

Learning Relational Representations with Auto-encoding Logic Programs.

Sebastijan Dumancic, Tias Guns, Wannes Meert, Hendrik Blockeel

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Predict+Optimise with Ranking Objectives: Exhaustively Learning Linear Functions.

Emir Demirovic, Peter J. Stuckey, James Bailey, Jeffrey Chan, Christopher Leckie, Kotagiri Ramamohanarao, Tias Guns

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

An Investigation into Prediction + Optimisation for the Knapsack Problem.

Emir Demirovic, Peter J. Stuckey, James Bailey, Jeffrey Chan, Chris Leckie, Kotagiri Ramamohanarao, Tias Guns

Proceedings of the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, 2019

ZebraTutor: Explaining How to Solve Logic Grid Puzzles.

Jens Claes, Bart Bogaerts, Rocsildes Canoy, Emilio Gamba, Tias Guns

Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), 2019

Vehicle Routing by Learning from Historical Solutions.

Rocsildes Canoy, Tias Guns

Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), 2019

2018

Solution Dominance over Constraint Satisfaction Problems.

Tias Guns, Peter J. Stuckey, Guido Tack

CoRR, 2018

Finding Probabilistic Rule Lists using the Minimum Description Length Principle.

John O. R. Aoga, Tias Guns, Siegfried Nijssen, Pierre Schaus

Proceedings of the Discovery Science - 21st International Conference, 2018

2017

Learning constraints in spreadsheets and tabular data.

Samuel Kolb, Sergey Paramonov, Tias Guns, Luc De Raedt

Mach. Learn., 2017

The Inductive Constraint Programming Loop.

Christian Bessiere, Luc De Raedt, Tias Guns, Lars Kotthoff, Mirco Nanni, Siegfried Nijssen, Barry O'Sullivan, Anastasia Paparrizou, Dino Pedreschi, Helmut Simonis

IEEE Intell. Syst., 2017

Mining Time-constrained Sequential Patterns with Constraint Programming.

John O. R. Aoga, Tias Guns, Pierre Schaus

Constraints An Int. J., 2017

Introduction to the special issue on Combining Constraint Solving with Mining and Learning.

Andrea Passerini, Guido Tack, Tias Guns

Artif. Intell., 2017

MiningZinc: A declarative framework for constraint-based mining.

Tias Guns, Anton Dries, Siegfried Nijssen, Guido Tack, Luc De Raedt

Artif. Intell., 2017

Generic Mining of Condensed Pattern Representations under Constraints.

Sergey Paramonov, Tao Chen, Tias Guns

Proceedings of the YSIP2, 2017

Stochastic Constraint Programming with And-Or Branch-and-Bound.

Behrouz Babaki, Tias Guns, Luc De Raedt

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

CoverSize: A Global Constraint for Frequency-Based Itemset Mining.

Pierre Schaus, John O. R. Aoga, Tias Guns

Proceedings of the Principles and Practice of Constraint Programming, 2017

TaCLe: Learning Constraints in Tabular Data.

Sergey Paramonov, Samuel Kolb, Tias Guns, Luc De Raedt

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016

Learning Constraint Satisfaction Problems: An ILP Perspective.

Luc De Raedt, Anton Dries, Tias Guns, Christian Bessiere

Proceedings of the Data Mining and Constraint Programming, 2016

Partition-Based Clustering Using Constraint Optimization.

Valerio Grossi, Tias Guns, Anna Monreale, Mirco Nanni, Siegfried Nijssen

Proceedings of the Data Mining and Constraint Programming, 2016

Modeling in MiningZinc.

Anton Dries, Tias Guns, Siegfried Nijssen, Behrouz Babaki, Thanh Le Van, Benjamin Négrevergne, Sergey Paramonov, Luc De Raedt

Proceedings of the Data Mining and Constraint Programming, 2016

The Inductive Constraint Programming Loop.

Christian Bessiere, Luc De Raedt, Tias Guns, Lars Kotthoff, Mirco Nanni, Siegfried Nijssen, Barry O'Sullivan, Anastasia Paparrizou, Dino Pedreschi, Helmut Simonis

Proceedings of the Data Mining and Constraint Programming, 2016

An Efficient Algorithm for Mining Frequent Sequence with Constraint Programming.

John O. R. Aoga, Tias Guns, Pierre Schaus

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Direct Mining of Subjectively Interesting Relational Patterns.

Tias Guns, Achille Aknin, Jefrey Lijffijt, Tijl De Bie

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Towards generic and efficient constraint-based mining, a constraint programming approach.

Tias Guns

Proceedings of the 16ème Journées Francophones Extraction et Gestion des Connaissances, 2016

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

Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016

On Declarative Modeling of Structured Pattern Mining.

Tias Guns, Sergey Paramonov, Benjamin Négrevergne

Proceedings of the Declarative Learning Based Programming, 2016

2015

Declarative pattern mining using constraint programming.

Tias Guns

Constraints An Int. J., 2015

Constraint-Based Querying for Bayesian Network Exploration.

Behrouz Babaki, Tias Guns, Siegfried Nijssen, Luc De Raedt

Proceedings of the Advances in Intelligent Data Analysis XIV, 2015

Constraint-Based Sequence Mining Using Constraint Programming.

Benjamin Négrevergne, Tias Guns

Proceedings of the Integration of AI and OR Techniques in Constraint Programming, 2015

MiniSearch: A Solver-Independent Meta-Search Language for MiniZinc.

Andrea Rendl, Tias Guns, Peter J. Stuckey, Guido Tack

Proceedings of the Principles and Practice of Constraint Programming, 2015

2014

Constrained Clustering Using Column Generation.

Behrouz Babaki, Tias Guns, Siegfried Nijssen

Proceedings of the Integration of AI and OR Techniques in Constraint Programming, 2014

2013

k-Pattern Set Mining under Constraints.

Tias Guns, Siegfried Nijssen, Luc De Raedt

IEEE Trans. Knowl. Data Eng., 2013

MiningZinc: A Modeling Language for Constraint-Based Mining.

Tias Guns, Anton Dries, Guido Tack, Siegfried Nijssen, Luc De Raedt

Proceedings of the IJCAI 2013, 2013

Dominance Programming for Itemset Mining.

Benjamin Négrevergne, Anton Dries, Tias Guns, Siegfried Nijssen

Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

The MiningZinc Framework for Constraint-Based Itemset Mining.

Tias Guns, Anton Dries, Guido Tack, Siegfried Nijssen, Luc De Raedt

Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

2012

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

Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012

2011

Itemset mining: A constraint programming perspective.

Tias Guns, Siegfried Nijssen, Luc De Raedt

Artif. Intell., 2011

Evaluating Pattern Set Mining Strategies in a Constraint Programming Framework.

Tias Guns, Siegfried Nijssen, Luc De Raedt

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011

Constraint-Based Pattern Mining in Multi-relational Databases.

Siegfried Nijssen, Aída Jiménez, Tias Guns

Proceedings of the Data Mining Workshops (ICDMW), 2011

Declarative Heuristic Search for Pattern Set Mining.

Tias Guns, Siegfried Nijssen, Albrecht Zimmermann, Luc De Raedt

Proceedings of the Data Mining Workshops (ICDMW), 2011

2010

Integrating Constraint Programming and Itemset Mining.

Siegfried Nijssen, Tias Guns

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Cis-regulatory module detection using constraint programming.

Tias Guns, Hong Sun, Kathleen Marchal, Siegfried Nijssen

Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine, 2010

Constraint Programming for Data Mining and Machine Learning.

Luc De Raedt, Tias Guns, Siegfried Nijssen

Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

Generalizing Itemset Mining in a Constraint Programming Setting.

Jérémy Besson, Jean-François Boulicaut, Tias Guns, Siegfried Nijssen

Proceedings of the Inductive Databases and Constraint-Based Data Mining., 2010

2009

Correlated itemset mining in ROC space: a constraint programming approach.

Siegfried Nijssen, Tias Guns, Luc De Raedt

Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

2008

Constraint programming for itemset mining.

Luc De Raedt, Tias Guns, Siegfried Nijssen

Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008