Martin Ferianc

发表

Optimizing FPGA-Based CNN Accelerator Using Differentiable Neural Architecture Search

Zhiqiang Que, Hongxiang Fan, Xinyu Niu, 2020, 2020 IEEE 38th International Conference on Computer Design (ICCD).

A Real-Time Object Detection Accelerator with Compressed SSDLite on FPGA

Wayne Luk, Zhiqiang Que, Hongxiang Fan, 2018, 2018 International Conference on Field-Programmable Technology (FPT).

Improving Performance Estimation for FPGA-Based Accelerators for Convolutional Neural Networks

Hongxiang Fan, Wayne Luk, Martin Ferianc, 2020, ARC.

Static Block Floating-Point Quantization for Convolutional Neural Networks on FPGA

Hongxiang Fan, Xinyu Niu, Wayne Luk, 2019, 2019 International Conference on Field-Programmable Technology (ICFPT).

VINNAS: Variational Inference-based Neural Network Architecture Search pdf

Hongxiang Fan, Martin Ferianc, Miguel Rodrigues, 2020, ArXiv.

F-E3D: FPGA-based Acceleration of an Efficient 3D Convolutional Neural Network for Human Action Recognition

Wayne Luk, Zhiqiang Que, Hongxiang Fan, 2019, 2019 IEEE 30th International Conference on Application-specific Systems, Architectures and Processors (ASAP).

High-Performance FPGA-based Accelerator for Bayesian Recurrent Neural Networks pdf

Wayne Luk, Zhiqiang Que, Hongxiang Fan, 2021, ArXiv.

ComBiNet: Compact Convolutional Bayesian Neural Network for Image Segmentation

Hongxiang Fan, Martin Ferianc, Miguel Rodrigues, 2021, ICANN.

On Causal Inference for Data-free Structured Pruning pdf

Anush Sankaran, Martin Ferianc, Ehsan Saboori, 2021, ArXiv.

Algorithm and Hardware Co-design for Reconfigurable CNN Accelerator pdf

Wayne Luk, Zhiqiang Que, Hongxiang Fan, 2021, 2022 27th Asia and South Pacific Design Automation Conference (ASP-DAC).

On the Effects of Quantisation on Model Uncertainty in Bayesian Neural Networks

Matthew Mattina, Partha Maji, Martin Ferianc, 2021, UAI.

Improving Performance Estimation for Design Space Exploration for Convolutional Neural Network Accelerators

Wayne Luk, Hongxiang Fan, Xinyu Niu, 2021 .

Optimizing Bayesian Recurrent Neural Networks on an FPGA-based Accelerator

Wayne Luk, Zhiqiang Que, Hongxiang Fan, 2021, 2021 International Conference on Field-Programmable Technology (ICFPT).

High-Performance FPGA-based Accelerator for Bayesian Neural Networks

Wayne Luk, Hongxiang Fan, Xinyu Niu, 2021, 2021 58th ACM/IEEE Design Automation Conference (DAC).