Samuel Kolb

About Samuel Kolb

Samuel Kolb, With an exceptional h-index of 10 and a recent h-index of 10 (since 2020), a distinguished researcher at Katholieke Universiteit Leuven, specializes in the field of artificial intelligence, machine learning, constraint learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Top-Down Knowledge Compilation for Counting Modulo Theories

Learning MAX-SAT from contextual examples for combinatorial optimisation

Learning constraint programming models from data using generate-and-aggregate

Learning max-sat models from examples using genetic algorithms and knowledge compilation

Learning mixed-integer linear programs from contextual examples

for Democratizing Data Science

Democratizing constraint satisfaction problems through machine learning

Hybrid probabilistic inference with logical and algebraic constraints: a survey

Samuel Kolb Information

University

Position

___

Citations(all)

273

Citations(since 2020)

254

Cited By

135

hIndex(all)

10

hIndex(since 2020)

10

i10Index(all)

11

i10Index(since 2020)

10

Email

University Profile Page

Google Scholar

Samuel Kolb Skills & Research Interests

artificial intelligence

machine learning

constraint learning

Top articles of Samuel Kolb

Top-Down Knowledge Compilation for Counting Modulo Theories

arXiv preprint arXiv:2306.04541

2023/6/7

Learning MAX-SAT from contextual examples for combinatorial optimisation

Artificial Intelligence

2023/1/1

Learning constraint programming models from data using generate-and-aggregate

2022

Learning max-sat models from examples using genetic algorithms and knowledge compilation

2022

Learning mixed-integer linear programs from contextual examples

arXiv preprint arXiv:2107.07136

2021/7/15

for Democratizing Data Science

Human-Like Machine Intelligence

2021/7/15

Democratizing constraint satisfaction problems through machine learning

Proceedings of the AAAI Conference on Artificial Intelligence

2021/5/18

Hybrid probabilistic inference with logical and algebraic constraints: a survey

IJCAI

2021

Learning weighted model integration distributions

Proceedings of the AAAI Conference on Artificial Intelligence

2020/4/3

Monte Carlo Anti-Differentiation for Approximate Weighted Model Integration.

arXiv preprint arXiv:2001.04566

2020/1/13

Predictive spreadsheet autocompletion with constraints

Machine Learning

2020/2

Ordering variables for weighted model integration

2020/8/27

How to exploit structure while solving weighted model integration problems

2020/8/6

Human-machine collaboration for democratizing data science

arXiv preprint arXiv:2004.11113

2020/4/23

See List of Professors in Samuel Kolb University(Katholieke Universiteit Leuven)