Tias Guns

Data Analytics Laboratory , Vrije Universiteit Brussel , Belgium; Department of Computer Science , KU Leuven , Belgium

8 papers in the IJCAI proceedings

IJCAI 2026

Modeling and Explaining an Industrial Workforce Allocation Problem (Extended Abstract)

with Ignace Bleukx, Ryma Boumazouza, Nadine Laage, Guillaume Poveda

doi:10.24963/ijcai.2026/917

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Scaling Decision-Focused Learning to Large Problems with Lagrangian Decomposition

with Stéphane Eilles-Chan Way, Hugo Percot, Quentin Cappart, Louis-Martin Rousseau

doi:10.24963/ijcai.2026/247

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IJCAI 2025

Preference Elicitation for Multi-objective Combinatorial Optimization with Active Learning and Maximum Likelihood Estimation

with Marianne Defresne, Jayanta Mandi

doi:10.24963/ijcai.2025/288

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IJCAI 2021

Contrastive Losses and Solution Caching for Predict-and-Optimize

with Maxime Mulamba, Jayanta Mandi, Michelangelo Diligenti, Michele Lombardi, Victor Bucarey

doi:10.24963/ijcai.2021/390

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Efficiently Explaining CSPs with Unsatisfiable Subset Optimization

with Emilio Gamba, Bart Bogaerts

doi:10.24963/ijcai.2021/191

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IJCAI 2019

Learning Relational Representations with Auto-encoding Logic Programs

with Sebastijan Dumancic, Wannes Meert, Hendrik Blockeel

doi:10.24963/ijcai.2019/842

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Predict+Optimise with Ranking Objectives: Exhaustively Learning Linear Functions

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

doi:10.24963/ijcai.2019/151

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IJCAI 2017

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

with Behrouz Babaki, Luc de Raedt

doi:10.24963/ijcai.2017/76

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Future Conferences

AI Journal Division

IJCAI Proceedings