Frozen Pretrained Transformers for Neural Sign Language Translation. - Mathieu De Coster; Karel D'Oosterlinck; Marija Pizurica; Paloma Rabaey; Severine Verlinden; Mieke Van Herreweghe; Joni Dambre (AT4SSL@MTSummit, 2021)

Neural Bayesian Network Understudy. - Paloma Rabaey; Cedric De Boom; Thomas Demeester (CoRR, 2022)

Synthetic Data: Can We Trust Statistical Estimators? - Alexander Decruyenaere; Heidelinde Dehaene; Paloma Rabaey; Christiaan Polet; Johan Decruyenaere; Stijn Vansteelandt; Thomas Demeester (CoRR, 2023)

Clinical Reasoning over Tabular Data and Text with Bayesian Networks. - Paloma Rabaey; Johannes Deleu; Stefan Heytens; Thomas Demeester (AIME (1), 2024)

Debiasing Synthetic Data Generated by Deep Generative Models. - Alexander Decruyenaere; Heidelinde Dehaene; Paloma Rabaey; Johan Decruyenaere; Christiaan Polet; Thomas Demeester; Stijn Vansteelandt (NeurIPS, 2024)

The Real Deal Behind the Artificial Appeal: Inferential Utility of Tabular Synthetic Data. - Alexander Decruyenaere; Heidelinde Dehaene; Paloma Rabaey; Christiaan Polet; Johan Decruyenaere; Stijn Vansteelandt; Thomas Demeester (UAI, 2024)

SynSUM - Synthetic Benchmark with Structured and Unstructured Medical Records. - Paloma Rabaey; Henri Arno; Stefan Heytens; Thomas Demeester (CoRR, 2024)

From Text to Treatment Effects: A Meta-Learning Approach to Handling Text-Based Confounding. - Henri Arno; Paloma Rabaey; Thomas Demeester (CoRR, 2024)

SynSUM - Synthetic Benchmark with Structured and Unstructured Medical Records. - Paloma Rabaey; Stefan Heytens; Thomas Demeester (IEEE DataPort, 2025)

Prior Knowledge Injection into Deep Learning Models Predicting Gene Expression from Whole Slide Images. - Max Hallemeesch; Marija Pizurica; Paloma Rabaey; Olivier Gevaert; Thomas Demeester; Kathleen Marchal (CoRR, 2025)

Lunguage: A Benchmark for Structured and Sequential Chest X-ray Interpretation. - Jong Hak Moon; Geon Choi; Paloma Rabaey; Min Gwan Kim; Hyuk Gi Hong; Jung-Oh Lee; Hangyul Yoon; Eun Woo Doe; Jiyoun Kim; Harshita Sharma; Daniel C. Castro; Javier Alvarez-Valle; et al. (CoRR, 2025)