Jordan Dotzel

According to our database, Jordan Dotzel authored at least 8 papers between 2019 and 2024.

Collaborative distances:

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

2024

Exploring the Limits of Semantic Image Compression at Micro-bits per Pixel.

Jordan Dotzel, Bahaa Kotb, James Dotzel, Mohamed S. Abdelfattah, Zhiru Zhang

CoRR, 2024

2023

FLIQS: One-Shot Mixed-Precision Floating-Point and Integer Quantization Search.

Jordan Dotzel, Gang Wu, Andrew Li, Muhammad Umar, Yun Ni, Mohamed S. Abdelfattah, Zhiru Zhang, Liqun Cheng, Martin G. Dixon, Norman P. Jouppi, Quoc V. Le, Sheng Li

CoRR, 2023

M4BRAM: Mixed-Precision Matrix-Matrix Multiplication in FPGA Block RAMs.

Yuzong Chen, Jordan Dotzel, Mohamed S. Abdelfattah

Proceedings of the International Conference on Field Programmable Technology, 2023

2021

Enabling Design Methodologies and Future Trends for Edge AI: Specialization and Codesign.

Cong Hao, Jordan Dotzel, Jinjun Xiong, Luca Benini, Zhiru Zhang, Deming Chen

IEEE Des. Test, 2021

Enabling Design Methodologies and Future Trends for Edge AI: Specialization and Co-design.

Cong Hao, Jordan Dotzel, Jinjun Xiong, Luca Benini, Zhiru Zhang, Deming Chen

CoRR, 2021

Logic Synthesis Meets Machine Learning: Trading Exactness for Generalization.

Shubham Rai, Walter Lau Neto, Yukio Miyasaka, Xinpei Zhang, Mingfei Yu, Qingyang Yi, Masahiro Fujita, Guilherme B. Manske, Matheus F. Pontes, Leomar S. da Rosa, Marilton S. de Aguiar, Paulo F. Butzen, Po-Chun Chien, Yu-Shan Huang, Hoa-Ren Wang, Jie-Hong R. Jiang, Jiaqi Gu, Zheng Zhao, Zixuan Jiang, David Z. Pan, Brunno A. Abreu, Isac de Souza Campos, Augusto Andre Souza Berndt, Cristina Meinhardt, Jônata Tyska Carvalho, Mateus Grellert, Sergio Bampi, Aditya Lohana, Akash Kumar, Wei Zeng, Azadeh Davoodi, Rasit Onur Topaloglu, Yuan Zhou, Jordan Dotzel, Yichi Zhang, Hanyu Wang, Zhiru Zhang, Valerio Tenace, Pierre-Emmanuel Gaillardon, Alan Mishchenko, Satrajit Chatterjee

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

2019

Improving Neural Network Quantization without Retraining using Outlier Channel Splitting.

Ritchie Zhao, Yuwei Hu, Jordan Dotzel, Christopher De Sa, Zhiru Zhang

Proceedings of the 36th International Conference on Machine Learning, 2019

Building Efficient Deep Neural Networks With Unitary Group Convolutions.

Ritchie Zhao, Yuwei Hu, Jordan Dotzel, Christopher De Sa, Zhiru Zhang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019