Gust Verbruggen

According to our database, Gust Verbruggen authored at least 28 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

EmFORE: Learning Email Folder Classification Rules by Demonstration.

Mukul Singh, Gust Verbruggen, José Cambronero, Vu Le, Sumit Gulwani

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

FLAME: A Small Language Model for Spreadsheet Formulas.

Harshit Joshi, Abishai Ebenezer, José Pablo Cambronero Sánchez, Sumit Gulwani, Aditya Kanade, Vu Le, Ivan Radicek, Gust Verbruggen

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

FormaT5: Abstention and Examples for Conditional Table Formatting with Natural Language.

Mukul Singh, José Cambronero, Sumit Gulwani, Vu Le, Carina Negreanu, Elnaz Nouri, Mohammad Raza, Gust Verbruggen

Proc. VLDB Endow., November, 2023

CORNET: Learning Spreadsheet Formatting Rules By Example.

Mukul Singh, José Pablo Cambronero Sánchez, Sumit Gulwani, Vu Le, Carina Negreanu, Gust Verbruggen

Proc. VLDB Endow., 2023

CORNET: Learning Table Formatting Rules By Example.

Mukul Singh, José Pablo Cambronero Sánchez, Sumit Gulwani, Vu Le, Carina Negreanu, Mohammad Raza, Gust Verbruggen

Proc. VLDB Endow., 2023

Assessing GPT4-V on Structured Reasoning Tasks.

Mukul Singh, José Cambronero, Sumit Gulwani, Vu Le, Gust Verbruggen

CoRR, 2023

TST^R: Target Similarity Tuning Meets the Real World.

Anirudh Khatry, Sumit Gulwani, Priyanshu Gupta, Vu Le, Ananya Singha, Mukul Singh, Gust Verbruggen

CoRR, 2023

DataVinci: Learning Syntactic and Semantic String Repairs.

Mukul Singh, José Cambronero, Sumit Gulwani, Vu Le, Carina Negreanu, Gust Verbruggen

CoRR, 2023

Demonstration of CORNET: A System For Learning Spreadsheet Formatting Rules By Example.

Mukul Singh, José Cambronero, Sumit Gulwani, Vu Le, Carina Negreanu, Gust Verbruggen

CoRR, 2023

Personalized action suggestions in low-code automation platforms.

Saksham Gupta, Gust Verbruggen, Mukul Singh, Sumit Gulwani, Vu Le

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering: ICSE 2023 Companion Proceedings, 2023

CodeFusion: A Pre-trained Diffusion Model for Code Generation.

Mukul Singh, José Cambronero, Sumit Gulwani, Vu Le, Carina Negreanu, Gust Verbruggen

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

TSTR: Target Similarity Tuning Meets the Real World.

Anirudh Khatry, Sumit Gulwani, Priyanshu Gupta, Vu Le, Mukul Singh, Ananya Singha, Gust Verbruggen

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

EmFore: Online Learning of Email Folder Classification Rules.

Mukul Singh, José Cambronero, Sumit Gulwani, Vu Le, Gust Verbruggen

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Repair Is Nearly Generation: Multilingual Program Repair with LLMs.

Harshit Joshi, José Pablo Cambronero Sánchez, Sumit Gulwani, Vu Le, Gust Verbruggen, Ivan Radicek

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Repairing Bugs in Python Assignments Using Large Language Models.

Jialu Zhang, José Cambronero, Sumit Gulwani, Vu Le, Ruzica Piskac, Gustavo Soares, Gust Verbruggen

CoRR, 2022

CORNET: A neurosymbolic approach to learning conditional table formatting rules by example.

Mukul Singh, José Pablo Cambronero Sánchez, Sumit Gulwani, Vu Le, Carina Negreanu, Mohammad Raza, Gust Verbruggen

CoRR, 2022

Human-Machine Collaboration for Democratizing Data Science.

Clément Gautrais, Yann Dauxais, Stefano Teso, Samuel Kolb, Gust Verbruggen, Luc De Raedt

Proceedings of the Human-Like Machine Intelligence., 2022

2021

Semantic programming by example with pre-trained models.

Gust Verbruggen, Vu Le, Sumit Gulwani

Proc. ACM Program. Lang., 2021

avatar - Automated Feature Wrangling for Machine Learning.

Gust Verbruggen, Elia Van Wolputte, Sebastijan Dumancic, Luc De Raedt

Proceedings of the Advances in Intelligent Data Analysis XIX, 2021

Muppets: Multipurpose Table Segmentation.

Gust Verbruggen, Lidia Contreras Ochando, Cèsar Ferri, José Hernández-Orallo, Luc De Raedt

Proceedings of the Advances in Intelligent Data Analysis XIX, 2021

SandSlide: Automatic Slideshow Normalization.

Sieben Bocklandt, Gust Verbruggen, Thomas Winters

Proceedings of the 16th International Conference on Document Analysis and Recognition, 2021

2020

Human-Machine Collaboration for Democratizing Data Science.

Clément Gautrais, Yann Dauxais, Stefano Teso, Samuel Kolb, Gust Verbruggen, Luc De Raedt

CoRR, 2020

VisualSynth: Democratizing Data Science in Spreadsheets.

Clément Gautrais, Yann Dauxais, Samuel Kolb, Arcchit Jain, Mohit Kumar, Stefano Teso, Elia Van Wolputte, Gust Verbruggen, Luc De Raedt

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track, 2020

2019

SynthLog: A Language for Synthesising Inductive Data Models (Extended Abstract).

Yann Dauxais, Clément Gautrais, Anton Dries, Arcchit Jain, Samuel Kolb, Mohit Kumar, Stefano Teso, Elia Van Wolputte, Gust Verbruggen, Luc De Raedt

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

2018

Automatically Wrangling Spreadsheets into Machine Learning Data Formats.

Gust Verbruggen, Luc De Raedt

Proceedings of the Advances in Intelligent Data Analysis XVII, 2018

Elements of an Automatic Data Scientist.

Luc De Raedt, Hendrik Blockeel, Samuel Kolb, Stefano Teso, Gust Verbruggen

Proceedings of the Advances in Intelligent Data Analysis XVII, 2018

Semi-Supervised Anomaly Detection with an Application to Water Analytics.

Vincent Vercruyssen, Wannes Meert, Gust Verbruggen, Koen Maes, Ruben Baumer, Jesse Davis

Proceedings of the IEEE International Conference on Data Mining, 2018

2017

Towards Automated Relational Data Wrangling.

Gust Verbruggen, Luc De Raedt

Proceedings of the International Workshop on Automatic Selection, 2017