Julian Faraone

According to our database, Julian Faraone authored at least 10 papers between 2017 and 2024.

Collaborative distances:

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

2024

Super Efficient Neural Network for Compression Artifacts Reduction and Super Resolution.

Wen Ma, Qiuwen Lou, Arman Kazemi, Julian Faraone, Tariq Afzal

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2024

2021

A Block Minifloat Representation for Training Deep Neural Networks.

Sean Fox, Seyedramin Rasoulinezhad, Julian Faraone, David Boland, Philip H. W. Leong

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

AddNet: Deep Neural Networks Using FPGA-Optimized Multipliers.

Julian Faraone, Martin Kumm, Martin Hardieck, Peter Zipf, Xueyuan Liu, David Boland, Philip H. W. Leong

IEEE Trans. Very Large Scale Integr. Syst., 2020

2019

Training Deep Neural Networks in Low-Precision with High Accuracy Using FPGAs.

Sean Fox, Julian Faraone, David Boland, Kees A. Vissers, Philip H. W. Leong

Proceedings of the International Conference on Field-Programmable Technology, 2019

2018

Long Short-Term Memory for Radio Frequency Spectral Prediction and its Real-Time FPGA Implementation.

Siddhartha, Yee Hui Lee, Duncan J. M. Moss, Julian Faraone, Perry Blackmore, Daniel Salmond, David Boland, Philip H. W. Leong

Proceedings of the 2018 IEEE Military Communications Conference, 2018

Customizing Low-Precision Deep Neural Networks for FPGAs.

Julian Faraone, Giulio Gambardella, Nicholas J. Fraser, Michaela Blott, Philip H. W. Leong, David Boland

Proceedings of the 28th International Conference on Field Programmable Logic and Applications, 2018

SYQ: Learning Symmetric Quantization for Efficient Deep Neural Networks.

Julian Faraone, Nicholas J. Fraser, Michaela Blott, Philip H. W. Leong

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Redundancy-Reduced MobileNet Acceleration on Reconfigurable Logic for ImageNet Classification.

Jiang Su, Julian Faraone, Junyi Liu, Yiren Zhao, David B. Thomas, Philip Heng Wai Leong, Peter Y. K. Cheung

Proceedings of the Applied Reconfigurable Computing. Architectures, Tools, and Applications, 2018

2017

FPGA Implementations of Kernel Normalised Least Mean Squares Processors.

Nicholas J. Fraser, JunKyu Lee, Duncan J. M. Moss, Julian Faraone, Stephen Tridgell, Craig T. Jin, Philip Heng Wai Leong

ACM Trans. Reconfigurable Technol. Syst., 2017

Compressing Low Precision Deep Neural Networks Using Sparsity-Induced Regularization in Ternary Networks.

Julian Faraone, Nicholas J. Fraser, Giulio Gambardella, Michaela Blott, Philip Heng Wai Leong

Proceedings of the Neural Information Processing - 24th International Conference, 2017