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Sara Rabhi
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2020 – today
- 2024
- [i4]Peter St. John, Dejun Lin, Polina Binder, Malcolm Greaves, Vega Shah, John St. John, Adrian Lange, Patrick Hsu, Rajesh Illango, Arvind Ramanathan, Anima Anandkumar, David H. 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 C. 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 Küçükbenli, Timur Rvachov, Eddie Calleja, Johnny Israeli, Harry Clifford, Risto Haukioja, Nicholas Haemel, Kyle Tretina, Neha Tadimeti, Anthony B. Costa:
BioNeMo Framework: a modular, high-performance library for AI model development in drug discovery. CoRR abs/2411.10548 (2024) - 2023
- [i3]Zhenrui Yue, Sara Rabhi, Gabriel de Souza Pereira Moreira, Dong Wang, Even Oldridge:
LlamaRec: Two-Stage Recommendation using Large Language Models for Ranking. CoRR abs/2311.02089 (2023) - 2022
- [b1]Sara Rabhi:
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). Polytechnic Institute of Paris, Palaiseau, France, 2022 - [j1]Sara Rabhi
, Frédéric Blanchard, Alpha Mamadou Diallo, Djamal Zeghlache
, Céline Lukas, Aurélie Berot, Brigitte Delemer
, Sara Barraud:
Temporal deep learning framework for retinopathy prediction in patients with type 1 diabetes. Artif. Intell. Medicine 133: 102408 (2022) - [c6]Sara Rabhi, Ronay Ak, Marc Romeijn, Gabriel de Souza Pereira Moreira, Benedikt D. Schifferer:
Reducing the Friction for Building Recommender Systems with Merlin. KDD 2022: 4816-4817 - [c5]Karl Higley, Even Oldridge, Ronay Ak, Sara Rabhi, Gabriel de Souza Pereira Moreira:
Building and Deploying a Multi-Stage Recommender System with Merlin. RecSys 2022: 632-635 - [c4]Ronay Ak, Benedikt Schifferer, Sara Rabhi, Gabriel de Souza Pereira Moreira:
Training and Deploying Multi-Stage Recommender Systems. RecSys 2022: 706-707 - 2021
- [c3]Gabriel de Souza Pereira Moreira, Sara Rabhi, Jeongmin Lee, Ronay Ak, Even Oldridge:
Transformers4Rec: Bridging the Gap between NLP and Sequential / Session-Based Recommendation. RecSys 2021: 143-153 - [c2]Gabriel de Souza Pereira Moreira, Sara Rabhi, Ronay Ak, Benedikt Schifferer:
End-to-End Session-Based Recommendation on GPU. RecSys 2021: 831-833 - [i2]Gabriel de Souza Pereira Moreira, Sara Rabhi, Ronay Ak, Md Yasin Kabir, Even Oldridge:
Transformers with multi-modal features and post-fusion context for e-commerce session-based recommendation. CoRR abs/2107.05124 (2021) - [i1]Adam Lesnikowski, Gabriel de Souza Pereira Moreira, Sara Rabhi, Karl Byleen-Higley:
Synthetic Data and Simulators for Recommendation Systems: Current State and Future Directions. CoRR abs/2112.11022 (2021)
2010 – 2019
- 2019
- [c1]Sara Rabhi, Wenbo Sun, Julio Perez, Mads Ruben Burgdorff Kristensen, Jiwei Liu, Even Oldridge:
Accelerating recommender system training 15x with RAPIDS. RecSys Challenge 2019: 8:1-8:5
Coauthor Index

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last updated on 2025-01-29 22:11 CET by the dblp team
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