Decomposition Strategies for Constructive Preference Elicitation. - Paolo Dragone; Stefano Teso; Mohit Kumar 003; Andrea Passerini (AAAI, 2018)

Automating Personnel Rostering by Learning Constraints Using Tensors. - Mohit Kumar 003; Stefano Teso; Luc De Raedt (CoRR, 2018)

Automating Personnel Rostering by Learning Constraints Using Tensors. - Mohit Kumar 003; Stefano Teso; Patrick De Causmaecker; Luc De Raedt (ICTAI, 2019)

Acquiring Integer Programs from Data. - Mohit Kumar 003; Stefano Teso; Luc De Raedt (IJCAI, 2019)

SynthLog: A Language for Synthesising Inductive Data Models (Extended Abstract). - Yann Dauxais; Clément Gautrais; Anton Dries; Arcchit Jain; Samuel Kolb; Mohit Kumar 003; Stefano Teso; Elia Van Wolputte; Gust Verbruggen; Luc De Raedt (PKDD/ECML Workshops (1), 2019)

VisualSynth: Democratizing Data Science in Spreadsheets. - Clément Gautrais; Yann Dauxais; Samuel Kolb; Arcchit Jain; Mohit Kumar 003; Stefano Teso; Elia Van Wolputte; Gust Verbruggen; Luc De Raedt (ECML/PKDD (5), 2020)

Toward Machine-Guided, Human-Initiated Explanatory Interactive Learning. - Teodora Popordanoska; Mohit Kumar 003; Stefano Teso (CoRR, 2020)

Machine Guides, Human Supervises: Interactive Learning with Global Explanations. - Teodora Popordanoska; Mohit Kumar 003; Stefano Teso (CoRR, 2020)

Democratizing Constraint Satisfaction Problems through Machine Learning. - Mohit Kumar 003; Samuel Kolb; Clément Gautrais; Luc De Raedt (AAAI, 2021)

Learning Mixed-Integer Linear Programs from Contextual Examples. - Mohit Kumar 003; Samuel Kolb; Luc De Raedt; Stefano Teso (CoRR, 2021)

Learning Constraint Programming Models from Data Using Generate-And-Aggregate. - Mohit Kumar 003; Samuel Kolb; Tias Guns (CP, 2022)

Learning MAX-SAT Models from Examples Using Genetic Algorithms and Knowledge Compilation. - Senne Berden; Mohit Kumar 003; Samuel Kolb; Tias Guns (CP, 2022)

Learning MAX-SAT from contextual examples for combinatorial optimisation. - Mohit Kumar 003; Samuel Kolb; Stefano Teso; Luc De Raedt (Artif. Intell., 2023)