Accelerating recommender system training 15x with RAPIDS. - Sara Rabhi; Wenbo Sun; Julio Perez; Mads Ruben Burgdorff Kristensen; Jiwei Liu; Even Oldridge (RecSys Challenge, 2019)

End-to-End Session-Based Recommendation on GPU. - Gabriel de Souza Pereira Moreira; Sara Rabhi; Ronay Ak; Benedikt Schifferer (RecSys, 2021)

Transformers4Rec: Bridging the Gap between NLP and Sequential / Session-Based Recommendation. - Gabriel de Souza Pereira Moreira; Sara Rabhi; Jeongmin Lee 001; Ronay Ak; Even Oldridge (RecSys, 2021)

Transformers with multi-modal features and post-fusion context for e-commerce session-based recommendation. - Gabriel de Souza Pereira Moreira; Sara Rabhi; Ronay Ak; Md Yasin Kabir; Even Oldridge (CoRR, 2021)

Synthetic Data and Simulators for Recommendation Systems: Current State and Future Directions. - Adam Lesnikowski; Gabriel de Souza Pereira Moreira; Sara Rabhi; Karl Byleen-Higley (CoRR, 2021)

Reducing the Friction for Building Recommender Systems with Merlin. - Sara Rabhi; Ronay Ak; Marc Romeijn; Gabriel de Souza Pereira Moreira; Benedikt D. Schifferer (KDD, 2022)

Training and Deploying Multi-Stage Recommender Systems. - Ronay Ak; Benedikt Schifferer; Sara Rabhi; Gabriel de Souza Pereira Moreira (RecSys, 2022)

Building and Deploying a Multi-Stage Recommender System with Merlin. - Karl Higley; Even Oldridge; Ronay Ak; Sara Rabhi; Gabriel de Souza Pereira Moreira (RecSys, 2022)

Temporal deep learning framework for retinopathy prediction in patients with type 1 diabetes. - Sara Rabhi; Frédéric Blanchard; Alpha Mamadou Diallo; Djamal Zeghlache; Céline Lukas; Aurélie Berot; Brigitte Delemer; Sara Barraud (Artif. Intell. Medicine, 2022)

Optimized deep learning-based multimodal method for irregular medical timestamped data. (Méthode multimodale optimisée basée sur l'apprentissage profond pour les données médicales temporelles irrégulières). - Sara Rabhi (2022)

LlamaRec: Two-Stage Recommendation using Large Language Models for Ranking. - Zhenrui Yue; Sara Rabhi; Gabriel de Souza Pereira Moreira; Dong Wang 002; Even Oldridge (CoRR, 2023)

BioNeMo Framework: a modular, high-performance library for AI model development in drug discovery. - Peter St. John; Dejun Lin; Polina Binder; Malcolm Greaves; Vega Shah; John St. John; Adrian Lange; Patrick D. Hsu; Rajesh Illango; Arvind Ramanathan; Anima Anandkumar; David H. Brookes; et al. (CoRR, 2024)