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Researcher
Tias Guns
- Keywords (Vrije Universiteit Brussel):Economics and applied economics
- Disciplines (Vrije Universiteit Brussel):Agricultural, veterinary and food sciences, Medical and health sciences, Engineering and technology
- Disciplines (KU Leuven):Artificial intelligence
- See also: Tias Guns (Vrije Universiteit Brussel)
Affiliations
- Data Analytics Laboratory (Research group)
Member
From4 Jul 2018 → Today - Business technology and Operations (Department)
Member
From1 Oct 2021 → 30 Sep 2023 - Business technology and Operations (Department)
Member
From1 Oct 2021 → 20 Oct 2022 - Declarative Languages and Artificial Intelligence (DTAI) (Division)
Member
From1 Oct 2020 → Today - Business technology and Operations (Department)
Member
From8 Apr 2019 → 30 Sep 2021 - Business technology and Operations (Department)
Member
From1 Oct 2016 → 30 Sep 2021 - Electromobility research centre (Research group)
Member
From1 Oct 2016 → 4 May 2020 - Business technology and Operations (Department)
Member
From1 Oct 2016 → 30 Sep 2018 - Informatics Section (Division)
Member
From1 Sep 2007 → 30 Sep 2018
Projects
1 - 10 of 18
- Prediction + Optimisation for scheduling and rostering with CMPpyFrom1 Mar 2024 → TodayFunding: HORIZON.1.1 - European Research Council (ERC)
- From Natural Language to Constrained Optimisation ModellingFrom9 Oct 2023 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Interactively explaining solutions and learning constraints in schedulingFrom31 Oct 2022 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Trustworthy Planning and Scheduling with Learning and ExplanationsFrom1 Oct 2022 → TodayFunding: Horizon Europe - Digital, Industry and Space
- Leveraging Step-wise Explanations for Constraint SolvingFrom22 Sep 2022 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Perception-based Constraint SolvingFrom20 Sep 2022 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Structured Output Prediction for Combinatorial OptimisationFrom24 Jun 2022 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Novel approaches to Predict-and-OptimizeFrom1 Nov 2021 → TodayFunding: FWO fellowships
- On explaining the solutions of constrained optimisation problemsFrom1 Sep 2021 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Interactive Solving and Learning from User InteractionFrom20 Aug 2021 → 3 Dec 2021Funding: Own budget, for example: patrimony, inscription fees, gifts
Publications
1 - 10 of 71
- Sudoku Assistant – an AI-Powered App to Help Solve Pen-and-Paper Sudokus(2023)
Authors: Tias Guns, Ignace Bleukx
Pages: 16440 - 16442Number of pages: 3 - Learn and route: learning implicit preferences for vehicle routing(2023)
Authors: Jayanta Mandi, Tias Guns
Pages: 363 - 396 - Efficiently Explaining CSPs with Unsatisfiable Subset Optimization(2023)
Authors: Tias Guns
Pages: 709 - 746 - Baseband-Function Placement With Multi-Task Traffic Prediction for 5G Radio Access Networks(2022)
Authors: Tias Guns
Pages: 5104 - 5119 - Machine Learning Methods with a Reject Option for Spot Factoring and Beyond(2022)
Authors: Tias Guns
- Learning Constraint Programming Models from Data Using Generate-And-Aggregate(2022)
Authors: Mohit Kumar Mohit Kumar, Tias Guns
Pages: 1 - 16 - Model-Based Algorithm Configuration with Adaptive Capping and Prior Distributions(2022)
Authors: Ignace Bleukx, Tias Guns
Pages: 64 - 73Number of pages: 10 - Decision-Focused Learning: Through the Lens of Learning to Rank(2022)
Authors: Jayanta Mandi, Tias Guns
Pages: 14935 - 14947 - Learning to Rank for Uplift Modeling(2022)
Authors: Jente Van Belle, Tias Guns, Wouter Verbeke
Pages: 4888 - 4904 - A framework for step-wise explaining how to solve constraint satisfaction problems(2021)
Authors: Tias Guns
Linked dataset
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