Martin Ferianc
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A Real-Time Object Detection Accelerator with Compressed SSDLite on FPGA
H Fan, S Liu, M Ferianc, HC Ng, Z Que, S Liu, X Niu, W Luk
2018 International Conference on Field-Programmable Technology (FPT), 14-21, 2018
F-E3D: FPGA-based acceleration of an efficient 3D convolutional neural network for human action recognition
H Fan, C Luo, C Zeng, M Ferianc, Z Que, S Liu, X Niu, W Luk
2019 IEEE 30th international conference on Application-specific Systemsá…, 2019
Toward full-stack acceleration of deep convolutional neural networks on FPGAs
S Liu, H Fan, M Ferianc, X Niu, H Shi, W Luk
IEEE Transactions on Neural Networks and Learning Systems 33 (8), 3974-3987, 2021
High-performance FPGA-based accelerator for Bayesian neural networks
H Fan, M Ferianc, M Rodrigues, H Zhou, X Niu, W Luk
2021 58th ACM/IEEE Design Automation Conference (DAC), 1063-1068, 2021
Improving performance estimation for FPGA-based accelerators for convolutional neural networks
M Ferianc, H Fan, RSW Chu, J Stano, W Luk
Applied Reconfigurable Computing. Architectures, Tools, and Applicationsá…, 2020
FPGA-based acceleration for Bayesian convolutional neural networks
H Fan, M Ferianc, Z Que, S Liu, X Niu, MRD Rodrigues, W Luk
IEEE Transactions on Computer-Aided Design of Integrated Circuits andá…, 2022
Cultural Alignment in Large Language Models: An Explanatory Analysis Based on Hofstede's Cultural Dimensions
RI Masoud, Z Liu, M Ferianc, P Treleaven, M Rodrigues
arXiv preprint arXiv:2309.12342, 2023
Algorithm and hardware co-design for reconfigurable cnn accelerator
H Fan, M Ferianc, Z Que, H Li, S Liu, X Niu, W Luk
2022 27th Asia and South Pacific Design Automation Conference (ASP-DAC), 250-255, 2022
Static block floating-point quantization for convolutional neural networks on FPGA
H Fan, G Wang, M Ferianc, X Niu, W Luk
2019 International Conference on Field-Programmable Technology (ICFPT), 28-35, 2019
Optimizing FPGA-based CNN accelerator using differentiable neural architecture search
H Fan, M Ferianc, S Liu, Z Que, X Niu, W Luk
2020 IEEE 38th International Conference on Computer Design (ICCD), 465-468, 2020
Improving performance estimation for design space exploration for convolutional neural network accelerators
M Ferianc, H Fan, D Manocha, H Zhou, S Liu, X Niu, W Luk
Electronics 10 (4), 520, 2021
Optimizing Bayesian recurrent neural networks on an FPGA-based accelerator
M Ferianc, Z Que, H Fan, W Luk, M Rodrigues
2021 International Conference on Field-Programmable Technology (ICFPT), 1-10, 2021
On the effects of quantisation on model uncertainty in bayesian neural networks
M Ferianc, P Maji, M Mattina, M Rodrigues
Uncertainty in Artificial Intelligence, 929-938, 2021
VINNAS: Variational Inference-based Neural Network Architecture Search
M Ferianc, H Fan, M Rodrigues
arXiv preprint arXiv:2007.06103, 2020
Accelerating Bayesian neural networks via algorithmic and hardware optimizations
H Fan, M Ferianc, Z Que, X Niu, M Rodrigues, W Luk
IEEE Transactions on Parallel and Distributed Systems 33 (12), 3387-3399, 2022
Impact of Noise on Calibration and Generalisation of Neural Networks
M Ferianc, O Bohdal, T Hospedales, M Rodrigues
ICML 2023 Workshop on Spurious Correlations, Invariance, and Stability, 2023
Renate: A Library for Real-World Continual Learning
M Wistuba, M Ferianc, L Balles, C Archambeau, G Zappella
2023 Continual Learning in Computer Vision (CLCV) workshop at CVPR 2023, 2023
ComBiNet: Compact convolutional Bayesian neural network for image segmentation
M Ferianc, D Manocha, H Fan, M Rodrigues
Artificial Neural Networks and Machine Learning–ICANN 2021: 30thá…, 2021
MIMMO: Multi-Input Massive Multi-Output Neural Network
M Ferianc, M Rodrigues
Proceedings of the IEEE/CVF Conference on Computer Vision and Patterná…, 2023
Large language models surpass human experts in predicting neuroscience results
X Luo, A Rechardt, G Sun, KK Nejad, F Y߽ez, B Yilmaz, K Lee, ...
arXiv preprint arXiv:2403.03230, 2024
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