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Mohit Kumar 0003
Person information
- affiliation: KU Leuven, Leuven, Belgium
Other persons with the same name
- Mohit Kumar — disambiguation page
- Mohit Kumar 0001 — University of Rostock, Center for Life Science Automation, Germany (and 1 more)
- Mohit Kumar 0002 — Institute of Infrastructure Technology Research and Management, Ahmedabad, India
- Mohit Kumar 0004 — Dr. B. R. Ambedkar National Institute of Technology, Department of Information Technology, Jalandhar, India (and 1 more)
- Mohit Kumar 0005 — Colorado State University, Fort Collins, USA
- Mohit Kumar 0006 — National Institute of Technology, Patna, India (and 1 more)
- Mohit Kumar 0007 — Sant Longowal Institute of Engineering and Technology, Longowal, India
- Mohit Kumar 0008 — Flipkart, India
- Mohit Kumar 0009 — OMKARR Tech, R&D Department, New Delhi, India (and 1 more)
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2020 – today
- 2023
- [j1]Mohit Kumar, Samuel Kolb, Stefano Teso, Luc De Raedt:
Learning MAX-SAT from contextual examples for combinatorial optimisation. Artif. Intell. 314: 103794 (2023) - 2022
- [c9]Senne Berden, Mohit Kumar, Samuel Kolb, Tias Guns:
Learning MAX-SAT Models from Examples Using Genetic Algorithms and Knowledge Compilation. CP 2022: 8:1-8:17 - [c8]Mohit Kumar, Samuel Kolb, Tias Guns:
Learning Constraint Programming Models from Data Using Generate-And-Aggregate. CP 2022: 29:1-29:16 - [i6]Mohit Kumar, Samuel Kolb, Stefano Teso, Luc De Raedt:
Learning MAX-SAT from Contextual Examples for Combinatorial Optimisation. CoRR abs/2202.03888 (2022) - 2021
- [c7]Mohit Kumar, Samuel Kolb, Clément Gautrais, Luc De Raedt:
Democratizing Constraint Satisfaction Problems through Machine Learning. AAAI 2021: 16057-16059 - [i5]Mohit Kumar, Samuel Kolb, Luc De Raedt, Stefano Teso:
Learning Mixed-Integer Linear Programs from Contextual Examples. CoRR abs/2107.07136 (2021) - 2020
- [c6]Mohit Kumar, Samuel Kolb, Stefano Teso, Luc De Raedt:
Learning MAX-SAT from Contextual Examples for Combinatorial Optimisation. AAAI 2020: 4493-4500 - [c5]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: 550-554 - [i4]Teodora Popordanoska, Mohit Kumar, Stefano Teso:
Toward Machine-Guided, Human-Initiated Explanatory Interactive Learning. CoRR abs/2007.10018 (2020) - [i3]Teodora Popordanoska, Mohit Kumar, Stefano Teso:
Machine Guides, Human Supervises: Interactive Learning with Global Explanations. CoRR abs/2009.09723 (2020)
2010 – 2019
- 2019
- [c4]Mohit Kumar, Stefano Teso, Patrick De Causmaecker, Luc De Raedt:
Automating Personnel Rostering by Learning Constraints Using Tensors. ICTAI 2019: 697-704 - [c3]Mohit Kumar, Stefano Teso, Luc De Raedt:
Acquiring Integer Programs from Data. IJCAI 2019: 1130-1136 - [c2]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: 102-110 - 2018
- [c1]Paolo Dragone, Stefano Teso, Mohit Kumar, Andrea Passerini:
Decomposition Strategies for Constructive Preference Elicitation. AAAI 2018: 2934-2942 - [i2]Mohit Kumar, Stefano Teso, Luc De Raedt:
Automating Personnel Rostering by Learning Constraints Using Tensors. CoRR abs/1805.11375 (2018) - 2017
- [i1]Paolo Dragone, Stefano Teso, Mohit Kumar, Andrea Passerini:
Decomposition Strategies for Constructive Preference Elicitation. CoRR abs/1711.08247 (2017)
Coauthor Index
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