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Gust Verbruggen
Gust Verbruggen
PhD student in Artificial Intelligence, KU Leuven
Verified email at cs.kuleuven.be
Title
Cited by
Cited by
Year
Semi-supervised anomaly detection with an application to water analytics
V Vercruyssen, W Meert, G Verbruggen, K Maes, R Baumer, J Davis
2018 IEEE International Conference on Data Mining (ICDM) 2018, 527-536, 2018
662018
Elements of an Automatic Data Scientist
L De Raedt, H Blockeel, S Kolb, S Teso, G Verbruggen
International Symposium on Intelligent Data Analysis, 3-14, 2018
122018
Semantic programming by example with pre-trained models
G Verbruggen, V Le, S Gulwani
Proceedings of the ACM on Programming Languages 5 (OOPSLA), 1-25, 2021
102021
Automatically wrangling spreadsheets into machine learning data formats
G Verbruggen, LD Raedt
International Symposium on Intelligent Data Analysis, 367-379, 2018
72018
Towards automated relational data wrangling
G Verbruggen, L De Raedt
Proceedings of AutoML 2017@ ECML-PKDD: Automatic selection, configuration …, 2017
72017
for Democratizing Data Science
C Gautrais, Y Dauxais, S Teso, S Kolb, G Verbruggen, L De Raedt
Human-Like Machine Intelligence, 379, 2021
42021
Repair is nearly generation: Multilingual program repair with llms
H Joshi, J Cambronero, S Gulwani, V Le, I Radicek, G Verbruggen
arXiv preprint arXiv:2208.11640, 2022
22022
SandSlide: Automatic Slideshow Normalization
S Bocklandt, G Verbruggen, T Winters
International Conference on Document Analysis and Recognition, 445-461, 2021
12021
Repairing Bugs in Python Assignments Using Large Language Models
J Zhang, J Cambronero, S Gulwani, V Le, R Piskac, G Soares, ...
arXiv preprint arXiv:2209.14876, 2022
2022
CORNET: A neurosymbolic approach to learning conditional table formatting rules by example
M Singh, J Cambronero, S Gulwani, V Le, C Negreanu, M Raza, ...
arXiv preprint arXiv:2208.06032, 2022
2022
Democratizing constraint satisfaction problems through machine learning
M Kumar, S Kolb, C Gautrais, L De Raedt
Proceedings of the AAAI Conference on Artificial Intelligence 35 (18), 16057 …, 2021
2021
Muppets: Multipurpose Table Segmentation
G Verbruggen, L Contreras-Ochando, C Ferri, J Hernández-Orallo, ...
International Symposium on Intelligent Data Analysis, 389-401, 2021
2021
avatar—Automated Feature Wrangling for Machine Learning
G Verbruggen, EV Wolputte, S Dumančić, LD Raedt
International Symposium on Intelligent Data Analysis, 235-247, 2021
2021
VisualSynth: Democratizing Data Science in Spreadsheets
C Gautrais, Y Dauxais, S Kolb, A Jain, M Kumar, S Teso, EV Wolputte, ...
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2020
2020
SynthLog: A Language for Synthesising Inductive Data Models
Y Dauxais, C Gautrais, A Dries, A Jain, S Kolb, M Kumar, S Teso, ...
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2019
2019
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