Steve Wilton

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 11

Top Topics

Quantization Error

Machine Learning

Convolutional Neural Networks

Top Venues

ACM Trans. Reconfigurable Technol. Syst.

Publications

Behnam Ghavami, Mohammad Shahidzadeh, Lesley Shannon, Steve Wilton
ZOBNN: Zero-Overhead Dependable Design of Binary Neural Networks with Deliberately Quantized Parameters. IOLTS (2024)
Behnam Ghavami, Amin Kamjoo, Lesley Shannon, Steve Wilton
DNN Memory Footprint Reduction via Post-Training Intra-Layer Multi-Precision Quantization. CoRR (2024)
Behnam Ghavami, Amin Kamjoo, Lesley Shannon, Steve Wilton
DNN Memory Footprint Reduction via Post-Training Intra-Layer Multi-Precision Quantization. ISQED (2024)
Nikhil Pratap Ghanathe, Steve Wilton
QUTE: Quantifying Uncertainty in TinyML models with Early-exit-assisted ensembles. CoRR (2024)
Behnam Ghavami, Mohammad Shahidzadeh, Lesley Shannon, Steve Wilton
ZOBNN: Zero-Overhead Dependable Design of Binary Neural Networks with Deliberately Quantized Parameters. CoRR (2024)
Nikhil Pratap Ghanathe, Steve Wilton
T-RecX: Tiny-Resource Efficient Convolutional neural networks with early-eXit. CF (2023)
Andrew David Gunter, Steve Wilton
Reformulating the FPGA Routability Prediction Problem with Machine Learning. FCCM (2023)
Seyedramin Rasoulinezhad, Esther Roorda, Steve Wilton, Philip H. W. Leong, David Boland
Rethinking Embedded Blocks for Machine Learning Applications. ACM Trans. Reconfigurable Technol. Syst. 15 (1) (2022)
Nikhil Pratap Ghanathe, Steve Wilton
T-RECX: Tiny-Resource Efficient Convolutional Neural Networks with Early-Exit. CoRR (2022)
Nikhil Pratap Ghanathe, Vivek Seshadri, Rahul Sharma, Steve Wilton, Aayan Kumar
MAFIA: Machine Learning Acceleration on FPGAs for IoT Applications. FPL (2021)
Nikhil Pratap Ghanathe, Vivek Seshadri, Rahul Sharma, Steve Wilton, Aayan Kumar
MAFIA: Machine Learning Acceleration on FPGAs for IoT Applications. CoRR (2021)