Gust Verbruggen

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 35

Top Topics

Code Generation

Classification Rules

Top Venues

Proc. VLDB Endow.

Publications

Usneek Singh, José Cambronero, Sumit Gulwani, Aditya Kanade, Anirudh Khatry, Vu Le, Mukul Singh, Gust Verbruggen
An Empirical Study of Validating Synthetic Data for Formula Generation. CoRR (2024)
Jialu Zhang, José Pablo Cambronero, Sumit Gulwani, Vu Le, Ruzica Piskac, Gustavo Soares, Gust Verbruggen
PyDex: Repairing Bugs in Introductory Python Assignments using LLMs. Proc. ACM Program. Lang. 8 (OOPSLA1) (2024)
Mukul Singh, Gust Verbruggen, José Cambronero, Vu Le, Sumit Gulwani
EmFORE: Learning Email Folder Classification Rules by Demonstration. AAAI (2024)
Ananya Singha, Bhavya Chopra, Anirudh Khatry, Sumit Gulwani, Austin Z. Henley, Vu Le, Chris Parnin, Mukul Singh, Gust Verbruggen
Semantically Aligned Question and Code Generation for Automated Insight Generation. CoRR (2024)
Harshit Joshi, Abishai Ebenezer, José Pablo Cambronero Sánchez, Sumit Gulwani, Aditya Kanade, Vu Le, Ivan Radicek, Gust Verbruggen
FLAME: A Small Language Model for Spreadsheet Formulas. AAAI (2024)
Mukul Singh, José Cambronero, Sumit Gulwani, Vu Le, Carina Negreanu, Gust Verbruggen
CodeFusion: A Pre-trained Diffusion Model for Code Generation. EMNLP (2023)
Mukul Singh, José Cambronero, Sumit Gulwani, Vu Le, Carina Negreanu, Gust Verbruggen
DataVinci: Learning Syntactic and Semantic String Repairs. CoRR (2023)
Harshit Joshi, José Pablo Cambronero Sánchez, Sumit Gulwani, Vu Le, Gust Verbruggen, Ivan Radicek
Repair Is Nearly Generation: Multilingual Program Repair with LLMs. AAAI (2023)
Mukul Singh, José Pablo Cambronero Sánchez, Sumit Gulwani, Vu Le, Carina Negreanu, Mohammad Raza, Gust Verbruggen
CORNET: Learning Table Formatting Rules By Example. Proc. VLDB Endow. 16 (10) (2023)
Mukul Singh, José Cambronero, Sumit Gulwani, Vu Le, Carina Negreanu, Elnaz Nouri, Mohammad Raza, Gust Verbruggen
FormaT5: Abstention and Examples for Conditional Table Formatting with Natural Language. Proc. VLDB Endow. 17 (3) (2023)
Saksham Gupta, Gust Verbruggen, Mukul Singh, Sumit Gulwani, Vu Le
Personalized action suggestions in low-code automation platforms. ICSE Companion (2023)
Anirudh Khatry, Sumit Gulwani, Priyanshu Gupta, Vu Le, Mukul Singh, Ananya Singha, Gust Verbruggen
TSTR: Target Similarity Tuning Meets the Real World. EMNLP (Findings) (2023)
Mukul Singh, José Cambronero, Sumit Gulwani, Vu Le, Carina Negreanu, Elnaz Nouri, Mohammad Raza, Gust Verbruggen
FormaT5: Abstention and Examples for Conditional Table Formatting with Natural Language. CoRR (2023)
Saksham Gupta, Gust Verbruggen, Mukul Singh, Sumit Gulwani, Vu Le
Personalized action suggestions in low-code automation platforms. CoRR (2023)
Mukul Singh, José Cambronero, Sumit Gulwani, Vu Le, Carina Negreanu, Gust Verbruggen
Demonstration of CORNET: A System For Learning Spreadsheet Formatting Rules By Example. CoRR (2023)
Mukul Singh, José Cambronero, Sumit Gulwani, Vu Le, Gust Verbruggen
Assessing GPT4-V on Structured Reasoning Tasks. CoRR (2023)
Mukul Singh, José Cambronero, Sumit Gulwani, Vu Le, Gust Verbruggen
EmFore: Online Learning of Email Folder Classification Rules. CIKM (2023)
Mukul Singh, José Pablo Cambronero Sánchez, Sumit Gulwani, Vu Le, Carina Negreanu, Gust Verbruggen
CORNET: Learning Spreadsheet Formatting Rules By Example. Proc. VLDB Endow. 16 (12) (2023)
Anirudh Khatry, Sumit Gulwani, Priyanshu Gupta, Vu Le, Ananya Singha, Mukul Singh, Gust Verbruggen
: Target Similarity Tuning Meets the Real World. CoRR (2023)
Mukul Singh, José Cambronero, Sumit Gulwani, Vu Le, Carina Negreanu, Gust Verbruggen
CodeFusion: A Pre-trained Diffusion Model for Code Generation. CoRR (2023)
Harshit Joshi, Abishai Ebenezer, José Cambronero, Sumit Gulwani, Aditya Kanade, Vu Le, Ivan Radicek, Gust Verbruggen
FLAME: A small language model for spreadsheet formulas. CoRR (2023)
Jialu Zhang, José Cambronero, Sumit Gulwani, Vu Le, Ruzica Piskac, Gustavo Soares, Gust Verbruggen
Repairing Bugs in Python Assignments Using Large Language Models. CoRR (2022)
Mukul Singh, José Pablo Cambronero Sánchez, Sumit Gulwani, Vu Le, Carina Negreanu, Mohammad Raza, Gust Verbruggen
CORNET: A neurosymbolic approach to learning conditional table formatting rules by example. CoRR (2022)
Harshit Joshi, José Pablo Cambronero Sánchez, Sumit Gulwani, Vu Le, Ivan Radicek, Gust Verbruggen
Repair Is Nearly Generation: Multilingual Program Repair with LLMs. CoRR (2022)
Gust Verbruggen, Elia Van Wolputte, Sebastijan Dumancic, Luc De Raedt
avatar - Automated Feature Wrangling for Machine Learning. IDA (2021)
Gust Verbruggen, Vu Le, Sumit Gulwani
Semantic programming by example with pre-trained models. Proc. ACM Program. Lang. 5 (OOPSLA) (2021)
Sieben Bocklandt, Gust Verbruggen, Thomas Winters
SandSlide: Automatic Slideshow Normalization. ICDAR (2) (2021)
Gust Verbruggen, Lidia Contreras Ochando, Cèsar Ferri, José Hernández-Orallo, Luc De Raedt
Muppets: Multipurpose Table Segmentation. IDA (2021)
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)
Clément Gautrais, Yann Dauxais, Stefano Teso, Samuel Kolb, Gust Verbruggen, Luc De Raedt
Human-Machine Collaboration for Democratizing Data Science. CoRR (2020)
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)
Gust Verbruggen, Luc De Raedt
Automatically Wrangling Spreadsheets into Machine Learning Data Formats. IDA (2018)
Vincent Vercruyssen, Wannes Meert, Gust Verbruggen, Koen Maes, Ruben Baumer, Jesse Davis
Semi-Supervised Anomaly Detection with an Application to Water Analytics. ICDM (2018)
Luc De Raedt, Hendrik Blockeel, Samuel Kolb, Stefano Teso, Gust Verbruggen
Elements of an Automatic Data Scientist. IDA (2018)
Gust Verbruggen, Luc De Raedt
Towards Automated Relational Data Wrangling. AutoML@PKDD/ECML (2017)