Steve Wilton

15 papers B 1C 2Misc 1Journal 8Unranked 3
YearRankTypeTitle / Venue / Authors
2024 C conf
A Semi Black-Box Adversarial Bit- Flip Attack with Limited DNN Model Information.
ICCD
Behnam Ghavami, Mani Sadati, Mohammad Shahidzadeh, Lesley Shannon, Steve Wilton
2024 J jnl
A Semi Black-Box Adversarial Bit-Flip Attack with Limited DNN Model Information.
CoRR
Behnam Ghavami, Mani Sadati, Mohammad Shahidzadeh, Lesley Shannon, Steve Wilton
2024 J jnl
Automatic High-quality Verilog Assertion Generation through Subtask-Focused Fine-Tuned LLMs and Iterative Prompting.
CoRR
Mohammad Shahidzadeh, Behnam Ghavami, Steve Wilton, Lesley Shannon
2024 — conf
Boosting Multiple Multipliers Packing on FPGA DSP Blocks via Truncation and Compensation-based Approximation.
ISVLSI
Behnam Ghavami, Mahdi Sajadi, Lesley Shannon, Steve Wilton
2024 — conf
DNN Memory Footprint Reduction via Post-Training Intra-Layer Multi-Precision Quantization.
ISQED
Behnam Ghavami, Amin Kamjoo, Lesley Shannon, Steve Wilton
2024 J jnl
DNN Memory Footprint Reduction via Post-Training Intra-Layer Multi-Precision Quantization.
CoRR
Behnam Ghavami, Amin Kamjoo, Lesley Shannon, Steve Wilton
2024 J jnl
QUTE: Quantifying Uncertainty in TinyML models with Early-exit-assisted ensembles.
CoRR
Nikhil Pratap Ghanathe, Steve Wilton
2024 C conf
ZOBNN: Zero-Overhead Dependable Design of Binary Neural Networks with Deliberately Quantized Parameters.
IOLTS
Behnam Ghavami, Mohammad Shahidzadeh, Lesley Shannon, Steve Wilton
2024 J jnl
ZOBNN: Zero-Overhead Dependable Design of Binary Neural Networks with Deliberately Quantized Parameters.
CoRR
Behnam Ghavami, Mohammad Shahidzadeh, Lesley Shannon, Steve Wilton
2023 Misc conf
Reformulating the FPGA Routability Prediction Problem with Machine Learning.
FCCM
Andrew David Gunter, Steve Wilton
2023 — conf
T-RecX: Tiny-Resource Efficient Convolutional neural networks with early-eXit.
CF
Nikhil Pratap Ghanathe, Steve Wilton
2022 J jnl
Rethinking Embedded Blocks for Machine Learning Applications.
ACM Trans. Reconfigurable Technol. Syst.
Seyedramin Rasoulinezhad, Esther Roorda, Steve Wilton, Philip H. W. Leong, David Boland
2022 J jnl
T-RECX: Tiny-Resource Efficient Convolutional Neural Networks with Early-Exit.
CoRR
Nikhil Pratap Ghanathe, Steve Wilton
2021 B conf
MAFIA: Machine Learning Acceleration on FPGAs for IoT Applications.
FPL
Nikhil Pratap Ghanathe, Vivek Seshadri, Rahul Sharma, Steve Wilton, Aayan Kumar
2021 J jnl
MAFIA: Machine Learning Acceleration on FPGAs for IoT Applications.
CoRR
Nikhil Pratap Ghanathe, Vivek Seshadri, Rahul Sharma, Steve Wilton, Aayan Kumar