Smart public transportation services using smart phones in vehicular environments. - Rakan Nimer; Nourhan Farhat; Hadi El Hosni; Chadi El Masri; Nour Alawieh; Mark Saroufim; Hassan Artail (ICT, 2012)

An optimization-based approach for passenger to shared taxi allocation. - Hadi El Hosni; Nourhan Farhat; Rakan Nimer; Nour Alawieh; Chadi El Masri; Mark Saroufim; Hassan Artail; Joe Naoum-Sawaya (SoftCOM, 2012)

Aren't we all nearest neighbors: Spatial trees, high dimensional reductions and batch nearest neighbor search. - Mark Saroufim (CoRR, 2015)

Parallel Training of Deep Networks with Local Updates. - Michael Laskin; Luke Metz; Seth Nabarrao; Mark Saroufim; Badreddine Noune; Carlo Luschi; Jascha Sohl-Dickstein; Pieter Abbeel (CoRR, 2020)

PyTorch 2: Faster Machine Learning Through Dynamic Python Bytecode Transformation and Graph Compilation. - Jason Ansel; Edward Z. Yang; Horace He; Natalia Gimelshein; Animesh Jain; Michael Voznesensky; Bin Bao; Peter Bell 008; David Berard; Evgeni Burovski; Geeta Chauhan; Anjali Chourdia; et al. (ASPLOS (2), 2024)

Accelerating neural network training: An analysis of the AlgoPerf competition. - Priya Kasimbeg; Frank Schneider 001; Runa Eschenhagen; Juhan Bae; Chandramouli Shama Sastry; Mark Saroufim; Boyuan Feng; Less Wright; Edward Z. Yang; Zachary Nado; Sourabh Medapati; Philipp Hennig; et al. (ICLR, 2025)

NeurIPS 2023 LLM Efficiency Fine-tuning Competition. - Mark Saroufim; Yotam Perlitz; Leshem Choshen; Luca Antiga; Greg Bowyer; Christian Puhrsch; Driss Guessous; Supriya Rao; Geeta Chauhan; Ashvini Kumar; Jindal Pawan Kumar; Rajpoot Ankur Parikh; et al. (CoRR, 2025)

TorchAO: PyTorch-Native Training-to-Serving Model Optimization. - Andrew Or; Apurva Jain; Daniel Vega-Myhre; Jesse Cai; Charles David Hernandez; Zhenrui Zheng; Driss Guessous; Vasiliy Kuznetsov; Christian Puhrsch; Mark Saroufim; Supriya Rao; Thien Tran; et al. (CoRR, 2025)