Towards Automated Relational Data Wrangling. - Gust Verbruggen; Luc De Raedt (AutoML@PKDD/ECML, 2017)

Semi-Supervised Anomaly Detection with an Application to Water Analytics. - Vincent Vercruyssen; Wannes Meert; Gust Verbruggen; Koen Maes; Ruben Baumer; Jesse Davis (ICDM, 2018)

Elements of an Automatic Data Scientist. - Luc De Raedt; Hendrik Blockeel; Samuel Kolb; Stefano Teso; Gust Verbruggen (IDA, 2018)

Automatically Wrangling Spreadsheets into Machine Learning Data Formats. - Gust Verbruggen; Luc De Raedt (IDA, 2018)

SynthLog: A Language for Synthesising Inductive Data Models (Extended Abstract). - Yann Dauxais; Clément Gautrais; Anton Dries; Arcchit Jain; Samuel Kolb; Mohit Kumar 003; Stefano Teso; Elia Van Wolputte; Gust Verbruggen; Luc De Raedt (PKDD/ECML Workshops (1), 2019)

VisualSynth: Democratizing Data Science in Spreadsheets. - Clément Gautrais; Yann Dauxais; Samuel Kolb; Arcchit Jain; Mohit Kumar 003; Stefano Teso; Elia Van Wolputte; Gust Verbruggen; Luc De Raedt (ECML/PKDD (5), 2020)

Human-Machine Collaboration for Democratizing Data Science. - Clément Gautrais; Yann Dauxais; Stefano Teso; Samuel Kolb; Gust Verbruggen; Luc De Raedt (CoRR, 2020)

SandSlide: Automatic Slideshow Normalization. - Sieben Bocklandt; Gust Verbruggen; Thomas Winters (ICDAR (2), 2021)

Muppets: Multipurpose Table Segmentation. - Gust Verbruggen; Lidia Contreras Ochando; Cèsar Ferri; José Hernández-Orallo; Luc De Raedt (IDA, 2021)

avatar - Automated Feature Wrangling for Machine Learning. - Gust Verbruggen; Elia Van Wolputte; Sebastijan Dumancic; Luc De Raedt (IDA, 2021)

Semantic programming by example with pre-trained models. - Gust Verbruggen; Vu Le 002; Sumit Gulwani (Proc. ACM Program. Lang., 2021)

Human-Machine Collaboration for Democratizing Data Science. - Clément Gautrais; Yann Dauxais; Stefano Teso; Samuel Kolb; Gust Verbruggen; Luc De Raedt (Human-Like Machine Intelligence, 2022)

CORNET: A neurosymbolic approach to learning conditional table formatting rules by example. - Mukul Singh; José Pablo Cambronero Sánchez; Sumit Gulwani; Vu Le 002; Carina Negreanu; Mohammad Raza; Gust Verbruggen (CoRR, 2022)

Repairing Bugs in Python Assignments Using Large Language Models. - Jialu Zhang 002; José Cambronero; Sumit Gulwani; Vu Le 002; Ruzica Piskac; Gustavo Soares; Gust Verbruggen (CoRR, 2022)

Repair Is Nearly Generation: Multilingual Program Repair with LLMs. - Harshit Joshi; José Pablo Cambronero Sánchez; Sumit Gulwani; Vu Le 002; Gust Verbruggen; Ivan Radicek (AAAI, 2023)

EmFore: Online Learning of Email Folder Classification Rules. - Mukul Singh; José Cambronero; Sumit Gulwani; Vu Le 002; Gust Verbruggen (CIKM, 2023)

TSTR: Target Similarity Tuning Meets the Real World. - Anirudh Khatry; Sumit Gulwani; Priyanshu Gupta; Vu Le 002; Mukul Singh; Ananya Singha; Gust Verbruggen (EMNLP (Findings), 2023)

CodeFusion: A Pre-trained Diffusion Model for Code Generation. - Mukul Singh; José Cambronero; Sumit Gulwani; Vu Le 002; Carina Negreanu; Gust Verbruggen (EMNLP, 2023)

Personalized action suggestions in low-code automation platforms. - Saksham Gupta; Gust Verbruggen; Mukul Singh; Sumit Gulwani; Vu Le 002 (ICSE Companion, 2023)

Demonstration of CORNET: A System For Learning Spreadsheet Formatting Rules By Example. - Mukul Singh; José Cambronero; Sumit Gulwani; Vu Le 002; Carina Negreanu; Gust Verbruggen (CoRR, 2023)

DataVinci: Learning Syntactic and Semantic String Repairs. - Mukul Singh; José Cambronero; Sumit Gulwani; Vu Le 002; Carina Negreanu; Gust Verbruggen (CoRR, 2023)

TSTR: Target Similarity Tuning Meets the Real World. - Anirudh Khatry; Sumit Gulwani; Priyanshu Gupta; Vu Le 002; Ananya Singha; Mukul Singh; Gust Verbruggen (CoRR, 2023)

Assessing GPT4-V on Structured Reasoning Tasks. - Mukul Singh; José Cambronero; Sumit Gulwani; Vu Le 002; Gust Verbruggen (CoRR, 2023)

CORNET: Learning Table Formatting Rules By Example. - Mukul Singh; José Pablo Cambronero Sánchez; Sumit Gulwani; Vu Le 002; Carina Negreanu; Mohammad Raza; Gust Verbruggen (Proc. VLDB Endow., 2023)

CORNET: Learning Spreadsheet Formatting Rules By Example. - Mukul Singh; José Pablo Cambronero Sánchez; Sumit Gulwani; Vu Le 002; Carina Negreanu; Gust Verbruggen (Proc. VLDB Endow., 2023)

FormaT5: Abstention and Examples for Conditional Table Formatting with Natural Language. - Mukul Singh; José Cambronero; Sumit Gulwani; Vu Le 002; Carina Negreanu; Elnaz Nouri; Mohammad Raza; Gust Verbruggen (Proc. VLDB Endow., 2023)

FLAME: A Small Language Model for Spreadsheet Formulas. - Harshit Joshi; Abishai Ebenezer; José Pablo Cambronero Sánchez; Sumit Gulwani; Aditya Kanade 001; Vu Le 002; Ivan Radicek; Gust Verbruggen (AAAI, 2024)

EmFORE: Learning Email Folder Classification Rules by Demonstration. - Mukul Singh; Gust Verbruggen; José Cambronero; Vu Le 002; Sumit Gulwani (AAAI, 2024)

Tabularis Revilio: Converting Text to Tables. - Mukul Singh; Gust Verbruggen; Vu Le 002; Sumit Gulwani (CIKM, 2024)

RAR: Retrieval-augmented retrieval for code generation in low resource languages. - Avik Dutta; Mukul Singh; Gust Verbruggen; Sumit Gulwani; Vu Le 002 (EMNLP, 2024)

One-to-many testing for code generation from (just) natural language. - Mansi Uniyal; Mukul Singh; Gust Verbruggen; Sumit Gulwani; Vu Le 002 (EMNLP (Findings), 2024)

Semantically Aligned Question and Code Generation for Automated Insight Generation. - Ananya Singha; Bhavya Chopra; Anirudh Khatry; Sumit Gulwani; Austin Z. Henley; Vu Le 002; Chris Parnin; Mukul Singh; Gust Verbruggen (LLM4CODE@ICSE, 2024)

PyDex: Repairing Bugs in Introductory Python Assignments using LLMs. - Jialu Zhang 002; José Pablo Cambronero; Sumit Gulwani; Vu Le 002; Ruzica Piskac; Gustavo Soares; Gust Verbruggen (Proc. ACM Program. Lang., 2024)

Execution-guided within-prompt search for programming-by-example. - Gust Verbruggen; Ashish Tiwari 001; Mukul Singh; Vu Le 002; Sumit Gulwani (ICLR, 2025)

An empirical study of validating synthetic data for formula generation. - Usneek Singh; José Cambronero; Sumit Gulwani; Aditya Kanade 001; Anirudh Khatry; Vu Le 002; Mukul Singh; Gust Verbruggen (NAACL (Findings), 2025)

DataVinci: Learning Syntactic and Semantic String Repairs. - Mukul Singh; José Cambronero; Sumit Gulwani; Vu Le 002; Carina Negreanu; Arjun Radhakrishna; Gust Verbruggen (Proc. ACM Manag. Data, 2025)

LLM-Guided Compositional Program Synthesis. - Ruhma Khan; Sumit Gulwani; Vu Le 002; Arjun Radhakrishna; Ashish Tiwari 001; Gust Verbruggen (CoRR, 2025)