Julian Faraone

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 14

Top Topics

Compression Artifacts

Least Mean Square

Fpga Implementation

Top Venues

ACM Trans. Reconfigurable Technol. Syst.

Publications

Wen Ma, Qiuwen Lou, Arman Kazemi, Julian Faraone, Tariq Afzal
Super Efficient Neural Network for Compression Artifacts Reduction and Super Resolution. CoRR (2024)
Wen Ma, Qiuwen Lou, Arman Kazemi, Julian Faraone, Tariq Afzal
Super Efficient Neural Network for Compression Artifacts Reduction and Super Resolution. WACV (Workshops) (2024)
Sean Fox, SeyedRamin Rasoulinezhad, Julian Faraone, David Boland, Philip H. W. Leong
A Block Minifloat Representation for Training Deep Neural Networks. ICLR (2021)
Julian Faraone, Martin Kumm, Martin Hardieck, Peter Zipf, Xueyuan Liu, David Boland, Philip H. W. Leong
AddNet: Deep Neural Networks Using FPGA-Optimized Multipliers. IEEE Trans. Very Large Scale Integr. Syst. 28 (1) (2020)
Sean Fox, Julian Faraone, David Boland, Kees A. Vissers, Philip H. W. Leong
Training Deep Neural Networks in Low-Precision with High Accuracy Using FPGAs. FPT (2019)
Julian Faraone, Martin Kumm, Martin Hardieck, Peter Zipf, Xueyuan Liu, David Boland, Philip H. W. Leong
AddNet: Deep Neural Networks Using FPGA-Optimized Multipliers. CoRR (2019)
Siddhartha, Yee Hui Lee, Duncan J. M. Moss, Julian Faraone, Perry Blackmore, Daniel Salmond, David Boland, Philip H. W. Leong
Long Short-Term Memory for Radio Frequency Spectral Prediction and its Real-Time FPGA Implementation. MILCOM (2018)
Julian Faraone, Nicholas J. Fraser, Michaela Blott, Philip H. W. Leong
SYQ: Learning Symmetric Quantization for Efficient Deep Neural Networks. CVPR (2018)
Jiang Su, Julian Faraone, Junyi Liu, Yiren Zhao, David B. Thomas, Philip Heng Wai Leong, Peter Y. K. Cheung
Redundancy-Reduced MobileNet Acceleration on Reconfigurable Logic for ImageNet Classification. ARC (2018)
Julian Faraone, Nicholas J. Fraser, Michaela Blott, Philip Heng Wai Leong
SYQ: Learning Symmetric Quantization For Efficient Deep Neural Networks. CoRR (2018)
Julian Faraone, Giulio Gambardella, Nicholas J. Fraser, Michaela Blott, Philip H. W. Leong, David Boland
Customizing Low-Precision Deep Neural Networks for FPGAs. FPL (2018)
Nicholas J. Fraser, JunKyu Lee, Duncan J. M. Moss, Julian Faraone, Stephen Tridgell, Craig T. Jin, Philip Heng Wai Leong
FPGA Implementations of Kernel Normalised Least Mean Squares Processors. ACM Trans. Reconfigurable Technol. Syst. 10 (4) (2017)
Julian Faraone, Nicholas J. Fraser, Giulio Gambardella, Michaela Blott, Philip Heng Wai Leong
Compressing Low Precision Deep Neural Networks Using Sparsity-Induced Regularization in Ternary Networks. ICONIP (2) (2017)
Julian Faraone, Nicholas J. Fraser, Giulio Gambardella, Michaela Blott, Philip Heng Wai Leong
Compressing Low Precision Deep Neural Networks Using Sparsity-Induced Regularization in Ternary Networks. CoRR (2017)