Sara Rabhi

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Former PhD student

Books And Theses

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

Articles

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BioNeMo Framework: a modular, high-performance library for AI model development in drug discovery,
Peter John, Dejun Lin, Polina Binder, Malcolm Greaves, Vega Shah, John John, Adrian Lange, Patrick Hsu, Rajesh Illango, Arvind Ramanathan, Anima Anandkumar, David Brookes, Akosua Busia, Abhishaike Mahajan, Stephen Malina, Neha Prasad, Sam Sinai, Lindsay Edwards, Thomas Gaudelet, Cristian Regep, Martin Steinegger, Burkhard Rost, Alexander Brace, Kyle Hippe, Luca Naef, Keisuke Kamata, George Armstrong, Kevin Boyd, Zhonglin Cao, Han Yi Chou, Simon Chu, Allan Dos Santos Costa, Sajad Darabi, Eric Dawson, Kieran Didi, Cong Fu, Mario Geiger, Michelle Gill, Darren Hsu, Gagan Kaushik, Maria Korshunova, Steven Kothen Hill, Youhan Lee, Meng Liu, Micha Livne, Zachary Mcclure, Jonathan Mitchell, Alireza Moradzadeh, Ohad Mosafi, Youssef Nashed, Saee Paliwal, Yuxing Peng, Sara Rabhi, Farhad Ramezanghorbani, Danny Reidenbach, Camir Ricketts, Brian Roland, Kushal Shah, Tyler Shimko, Hassan Sirelkhatim, Savitha Srinivasan, Abraham Stern, Dorota Toczydlowska, Srimukh Prasad Veccham, Niccolò Alberto Elia Venanzi, Anton Vorontsov, Jared Wilber, Isabel Wilkinson, Wei Jing Wong, Eva Xue, Cory Ye, Xin Yu, Yang Zhang, Guoqing Zhou, Becca Zandstein, Christian Dallago, Bruno Trentini, Emine Kucukbenli, Timur Rvachov, Eddie Calleja, Johnny Israeli, Harry Clifford, Risto Haukioja, Nicholas Haemel, Kyle Tretina, Neha Tadimeti, Anthony Costa,
CoRR 2024

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LlamaRec: Two-Stage Recommendation using Large Language Models for Ranking,
Zhenrui Yue, Sara Rabhi, Gabriel De Souza Pereira Moreira, Dong Wang, Even Oldridge,
CoRR 2023

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Reducing the Friction for Building Recommender Systems with Merlin,
Sara Rabhi, Ronay Ak, Marc Romeijn, Gabriel De Souza Pereira Moreira, Benedikt Schifferer,
KDD 2022

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Training and Deploying Multi-Stage Recommender Systems,
Ronay Ak, Benedikt Schifferer, Sara Rabhi, Gabriel De Souza Pereira Moreira,
RecSys 2022

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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

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End-to-End Session-Based Recommendation on GPU,
Gabriel De Souza Pereira Moreira, Sara Rabhi, Ronay Ak, Benedikt Schifferer,
RecSys 2021

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

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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

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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

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

Journal articles

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Temporal deep learning framework for retinopathy prediction in patients with type 1 diabetes,
Sara Rabhi, Frederic Blanchard, Alpha Mamadou Diallo, Djamal Zeghlache, Celine Lukas, Aurelie Berot, Brigitte Delemer, Sara Barraud,
Artificial Intelligence in Medicine 2022

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Deep learning versus conventional machine learning for detection of healthcare-associated infections in French clinical narratives,
Sara Rabhi ■, Jeremie Jakubowicz ■, Marie-Hélène Metzger,
Methods of Information in Medicine 2019

Generated using minifold and minifold-lincs at 2025-03-31 17:01.