Andrew Rittenbach

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 5

Top Topics

Heterogeneous Data

Inductive Logic Programming

Image Formation

Top Venues

EuroMLSys@EuroSys

Publications

Connor Imes, Andrew Rittenbach, Peng Xie, Dong-In Kang, John Paul Walters, Stephen P. Crago
Evaluating Deep Learning Recommendation Model Training Scalability with the Dynamic Opera Network. EuroMLSys@EuroSys (2024)
Dake Chen, Xuan Zhou, Yinghua Hu, Yuke Zhang, Kaixin Yang, Andrew Rittenbach, Pierluigi Nuzzo, Peter A. Beerel
Unraveling Latch Locking Using Machine Learning, Boolean Analysis, and ILP. CoRR (2023)
Dake Chen, Xuan Zhou, Yinghua Hu, Yuke Zhang, Kaixin Yang, Andrew Rittenbach, Pierluigi Nuzzo, Peter A. Beerel
Unraveling Latch Locking Using Machine Learning, Boolean Analysis, and ILP. ISQED (2023)
Andrew Rittenbach, John Paul Walters
RDAnet: A Deep Learning Based Approach for Synthetic Aperture Radar Image Formation. CoRR (2020)
Yu-An Chen, Geoffrey Phi C. Tran, Andrew Rittenbach, John Paul Walters, Stephen P. Crago
Pacer: Automated Feedback-Based Vertical Elasticity for Heterogeneous Soft Real-Time Workloads. UCC (2018)