Chiachen Chou

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 4

Top Topics

Training Patterns

Top Venues

Publications

Clemens JS Schaefer, Navid Lambert-Shirzad, Xiaofan Zhang, Chiachen Chou, Tom Jablin, Jian Li, Elfie Guo, Caitlin Stanton, Siddharth Joshi, Yu Emma Wang
Augmenting Hessians with Inter-Layer Dependencies for Mixed-Precision Post-Training Quantization. CoRR (2023)
Clemens JS Schaefer, Elfie Guo, Caitlin Stanton, Xiaofan Zhang, Tom Jablin, Navid Lambert-Shirzad, Jian Li, Chiachen Chou, Siddharth Joshi, Yu Emma Wang
Mixed Precision Post Training Quantization of Neural Networks with Sensitivity Guided Search. CoRR (2023)
Sameer Kumar, Victor Bitorff, Dehao Chen, Chiachen Chou, Blake A. Hechtman, HyoukJoong Lee, Naveen Kumar, Peter Mattson, Shibo Wang, Tao Wang, Yuanzhong Xu, Zongwei Zhou
Scale MLPerf-0.6 models on Google TPU-v3 Pods. CoRR (2019)
Berkin Akin, Chiachen Chou, Jongsoo Park, Christopher J. Hughes, Rajat Agarwal
Dynamic fine-grained sparse memory accesses. MEMSYS (2018)