Sara Rabhi - RankMe

12 papers A* 1A 4Journal 5Unranked 1

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	BioNeMo Framework: a modular, high-performance library for AI model development in drug discovery. CoRR 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, 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
2023	J	`jnl`	LlamaRec: Two-Stage Recommendation using Large Language Models for Ranking. CoRR Zhenrui Yue, Sara Rabhi, Gabriel de Souza Pereira Moreira, Dong Wang, Even Oldridge
2022	A	`conf`	Building and Deploying a Multi-Stage Recommender System with Merlin. RecSys Karl Higley, Even Oldridge, Ronay Ak, Sara Rabhi, Gabriel de Souza Pereira Moreira
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	A*	`conf`	Reducing the Friction for Building Recommender Systems with Merlin. KDD Sara Rabhi, Ronay Ak, Marc Romeijn, Gabriel de Souza Pereira Moreira, Benedikt D. Schifferer
2022	J	`jnl`	Temporal deep learning framework for retinopathy prediction in patients with type 1 diabetes. Artif. Intell. Medicine Sara Rabhi, Frédéric Blanchard, Alpha Mamadou Diallo, Djamal Zeghlache, Céline Lukas, Aurélie Berot, Brigitte Delemer, Sara Barraud
2022	A	`conf`	Training and Deploying Multi-Stage Recommender Systems. RecSys Ronay Ak, Benedikt Schifferer, Sara Rabhi, Gabriel de Souza Pereira Moreira
2021	A	`conf`	End-to-End Session-Based Recommendation on GPU. RecSys Gabriel de Souza Pereira Moreira, Sara Rabhi, Ronay Ak, Benedikt Schifferer
2021	J	`jnl`	Synthetic Data and Simulators for Recommendation Systems: Current State and Future Directions. CoRR Adam Lesnikowski, Gabriel de Souza Pereira Moreira, Sara Rabhi, Karl Byleen-Higley
2021	J	`jnl`	Transformers with multi-modal features and post-fusion context for e-commerce session-based recommendation. CoRR Gabriel de Souza Pereira Moreira, Sara Rabhi, Ronay Ak, Md Yasin Kabir, Even Oldridge
2021	A	`conf`	Transformers4Rec: Bridging the Gap between NLP and Sequential / Session-Based Recommendation. RecSys Gabriel de Souza Pereira Moreira, Sara Rabhi, Jeongmin Lee, Ronay Ak, Even Oldridge
2019	—	`conf`	Accelerating recommender system training 15x with RAPIDS. RecSys Challenge Sara Rabhi, Wenbo Sun, Julio Perez, Mads Ruben Burgdorff Kristensen, Jiwei Liu, Even Oldridge