Mohit Kumar

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 16

Top Topics

Interactive Learning

Constraint Satisfaction Problems

Combinatorial Optimisation

Top Venues

Publications

Mohit Kumar, Samuel Kolb, Stefano Teso, Luc De Raedt
Learning MAX-SAT from contextual examples for combinatorial optimisation. Artif. Intell. 314 (2023)
Senne Berden, Mohit Kumar, Samuel Kolb, Tias Guns
Learning MAX-SAT Models from Examples Using Genetic Algorithms and Knowledge Compilation. CP (2022)
Mohit Kumar, Samuel Kolb, Stefano Teso, Luc De Raedt
Learning MAX-SAT from Contextual Examples for Combinatorial Optimisation. CoRR (2022)
Mohit Kumar, Samuel Kolb, Tias Guns
Learning Constraint Programming Models from Data Using Generate-And-Aggregate. CP (2022)
Mohit Kumar, Samuel Kolb, Clément Gautrais, Luc De Raedt
Democratizing Constraint Satisfaction Problems through Machine Learning. AAAI (2021)
Mohit Kumar, Samuel Kolb, Luc De Raedt, Stefano Teso
Learning Mixed-Integer Linear Programs from Contextual Examples. CoRR (2021)
Mohit Kumar, Samuel Kolb, Stefano Teso, Luc De Raedt
Learning MAX-SAT from Contextual Examples for Combinatorial Optimisation. AAAI (2020)
Teodora Popordanoska, Mohit Kumar, Stefano Teso
Machine Guides, Human Supervises: Interactive Learning with Global Explanations. CoRR (2020)
Clément Gautrais, Yann Dauxais, Samuel Kolb, Arcchit Jain, Mohit Kumar, Stefano Teso, Elia Van Wolputte, Gust Verbruggen, Luc De Raedt
VisualSynth: Democratizing Data Science in Spreadsheets. ECML/PKDD (5) (2020)
Teodora Popordanoska, Mohit Kumar, Stefano Teso
Toward Machine-Guided, Human-Initiated Explanatory Interactive Learning. CoRR (2020)
Mohit Kumar, Stefano Teso, Patrick De Causmaecker, Luc De Raedt
Automating Personnel Rostering by Learning Constraints Using Tensors. ICTAI (2019)
Mohit Kumar, Stefano Teso, Luc De Raedt
Acquiring Integer Programs from Data. IJCAI (2019)
Yann Dauxais, Clément Gautrais, Anton Dries, Arcchit Jain, Samuel Kolb, Mohit Kumar, Stefano Teso, Elia Van Wolputte, Gust Verbruggen, Luc De Raedt
SynthLog: A Language for Synthesising Inductive Data Models (Extended Abstract). PKDD/ECML Workshops (1) (2019)
Paolo Dragone, Stefano Teso, Mohit Kumar, Andrea Passerini
Decomposition Strategies for Constructive Preference Elicitation. AAAI (2018)
Mohit Kumar, Stefano Teso, Luc De Raedt
Automating Personnel Rostering by Learning Constraints Using Tensors. CoRR (2018)
Paolo Dragone, Stefano Teso, Mohit Kumar, Andrea Passerini
Decomposition Strategies for Constructive Preference Elicitation. CoRR (2017)