Thomas Atta-Fosu

According to our database, Thomas Atta-Fosu authored at least 5 papers between 2016 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Deep Learning Models on CPUs: A Methodology for Efficient Training.

Quchen Fu, Ramesh Chukka, Keith Achorn, Thomas Atta-Fosu, Deepak R. Canchi, Zhongwei Teng, Jules White, Douglas C. Schmidt

CoRR, 2022

MLPerf Mobile Inference Benchmark: An Industry-Standard Open-Source Machine Learning Benchmark for On-Device AI.

Vijay Janapa Reddi, David Kanter, Peter Mattson, Jared Duke, Thai Nguyen, Ramesh Chukka, Kenneth Shiring, Koan-Sin Tan, Mark Charlebois, William Chou, Mostafa El-Khamy, Jungwook Hong, Tom St. John, Cindy Trinh, Michael Buch, Mark Mazumder, Relja Markovic, Thomas Atta-Fosu, Fatih Çakir, Masoud Charkhabi, Xiaodong Chen, Cheng-Ming Chiang, Dave Dexter, Terry Heo, Guenther Schmuelling, Maryam Shabani, Dylan Zika

Proceedings of the Fifth Conference on Machine Learning and Systems, 2022

2021

A new machine learning approach for predicting likelihood of recurrence following ablation for atrial fibrillation from CT.

Thomas Atta-Fosu, Michael LaBarbera, Soumya Ghose, Paul Schoenhagen, Walid Saliba, Patrick J. Tchou, Bruce D. Lindsay, Milind Y. Desai, Deborah Kwon, Mina K. Chung, Anant Madabhushi

BMC Medical Imaging, 2021

2020

MLPerf Mobile Inference Benchmark: Why Mobile AI Benchmarking Is Hard and What to Do About It.

Vijay Janapa Reddi, David Kanter, Peter Mattson, Jared Duke, Thai Nguyen, Ramesh Chukka, Kenneth Shiring, Koan-Sin Tan, Mark Charlebois, William Chou, Mostafa El-Khamy, Jungwook Hong, Michael Buch, Cindy Trinh, Thomas Atta-Fosu, Fatih Çakir, Masoud Charkhabi, Xiaodong Chen, Jimmy Chiang, Dave Dexter, Woncheol Heo, Guenther Schmuelling, Maryam Shabani, Dylan Zika

CoRR, 2020

2016

3D Clumped Cell Segmentation Using Curvature Based Seeded Watershed.

Thomas Atta-Fosu, Weihong Guo, Dana Jeter, Claudia Mieko Mizutani, Nathan Stopczynski, Rui Sousa-Neves

J. Imaging, 2016