Rumba: an online quality management system for approximate computing. - Daya Shanker Khudia; Babak Zamirai; Mehrzad Samadi; Scott A. Mahlke (ISCA, 2015)

Quality Control for Approximate Accelerators by Error Prediction. - Daya Shanker Khudia; Babak Zamirai; Mehrzad Samadi; Scott A. Mahlke (IEEE Des. Test, 2016)

DeftNN: addressing bottlenecks for DNN execution on GPUs via synapse vector elimination and near-compute data fission. - Parker Hill; Animesh Jain; Mason Hill; Babak Zamirai; Chang-Hong Hsu; Michael A. Laurenzano; Scott A. Mahlke; Lingjia Tang; Jason Mars (MICRO, 2017)

Rethinking Numerical Representations for Deep Neural Networks. - Parker Hill; Babak Zamirai; Shengshuo Lu; Yu-Wei Chao; Michael Laurenzano; Mehrzad Samadi; Marios C. Papaefthymiou; Scott A. Mahlke; Thomas F. Wenisch; Jia Deng 001; Lingjia Tang; Jason Mars (CoRR, 2018)

POSTER: Pairing Up CNNs for High Throughput Deep Learning. - Babak Zamirai; Salar Latifi; Scott A. Mahlke (PACT, 2019)

SIEVE: Speculative Inference on the Edge with Versatile Exportation. - Babak Zamirai; Salar Latifi; Pedram Zamirai; Scott A. Mahlke (DAC, 2020)

PolygraphMR: Enhancing the Reliability and Dependability of CNNs. - Salar Latifi; Babak Zamirai; Scott A. Mahlke (DSN, 2020)

Customized Systems of Deep Neural Networks for Energy Efficiency - Babak Zamirai (2020)

SoftFusion: A Low-Cost Approach to Enhance Reliability of Object Detection Applications. - Salar Latifi; Babak Zamirai; Scott A. Mahlke (ICCD, 2022)