Martin Ferianc

38 papers A* 2A 2B 1C 1Journal 22Unranked 10

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Novel Semi-Automated Pipeline for Optimizing 3D-Printed Drug Formulations. Adv. Intell. Syst. Youssef Abdalla, Martin Ferianc, Haya Alfassam, Atheer Awad, Ruochen Qiao, Miguel Rodrigues, Mine Orlu, Abdul W. Basit, David Shorthouse
2025	J	`jnl`	Cultural Alignment in Large Language Models Using Soft Prompt Tuning. CoRR Reem I. Masoud, Martin Ferianc, Philip C. Treleaven, Miguel Rodrigues
2025	B	`conf`	Cultural Alignment in Large Language Models: An Explanatory Analysis Based on Hofstede's Cultural Dimensions. COLING Reem I. Masoud, Ziquan Liu, Martin Ferianc, Philip C. Treleaven, Miguel Rodrigues
2025	J	`jnl`	Online End-to-End Learning-Based Predictive Control for Microgrid Energy Management. IEEE Trans. Control. Syst. Technol. Vittorio Casagrande, Martin Ferianc, Miguel R. D. Rodrigues, Francesca Boem
2024	J	`jnl`	Enhancing Dropout-based Bayesian Neural Networks with Multi-Exit on FPGA. CoRR Hao Mark Chen, Liam Castelli, Martin Ferianc, Hongyu Zhou, Shuanglong Liu, Wayne Luk, Hongxiang Fan
2024	J	`jnl`	Large language models surpass human experts in predicting neuroscience results. CoRR Xiaoliang Luo, Akilles Rechardt, Guangzhi Sun, Kevin K. Nejad, Felipe Yáñez, Bati Yilmaz, Kangjoo Lee, Alexandra O. Cohen, Valentina Borghesani, Anton Pashkov, Daniele Marinazzo, Jonathan Nicholas, Alessandro Salatiello, Ilia Sucholutsky, Pasquale Minervini, Sepehr Razavi, Roberta Rocca, Elkhan Yusifov, Tereza Okalova, Nianlong Gu, Martin Ferianc, Mikail Khona, Kaustubh R. Patil, Pui-Shee Lee, Rui Mata, Nicholas E. Myers, Jennifer K. Bizley, Sebastian Musslick, Isil Poyraz Bilgin, Guiomar Niso, Justin M. Ales, Michael Gaebler, N. Apurva Ratan Murty, Leyla Loued-Khenissi, Anna Behler, Chloe M. Hall, Jessica Dafflon, Sherry Dongqi Bao, Bradley C. Love
2024	J	`jnl`	Navigating Noise: A Study of How Noise Influences Generalisation and Calibration of Neural Networks. Trans. Mach. Learn. Res. Martin Ferianc, Ondrej Bohdal, Timothy M. Hospedales, Miguel R. D. Rodrigues
2024	A	`conf`	SAE: Single Architecture Ensemble Neural Networks. BMVC Martin Ferianc, Hongxiang Fan, Miguel R. D. Rodrigues
2024	J	`jnl`	SAE: Single Architecture Ensemble Neural Networks. CoRR Martin Ferianc, Hongxiang Fan, Miguel Rodrigues
2024	J	`jnl`	YAMLE: Yet Another Machine Learning Environment. CoRR Martin Ferianc, Miguel Rodrigues
2023	—	`conf`	An Online Learning Method for Microgrid Energy Management Control MED Vittorio Casagrande, Martin Ferianc, Miguel Rodrigues, Francesca Boem
2023	J	`jnl`	Cultural Alignment in Large Language Models: An Explanatory Analysis Based on Hofstede's Cultural Dimensions. CoRR Reem I. Masoud, Ziquan Liu, Martin Ferianc, Philip C. Treleaven, Miguel Rodrigues
2023	J	`jnl`	Impact of Noise on Calibration and Generalisation of Neural Networks. CoRR Martin Ferianc, Ondrej Bohdal, Timothy M. Hospedales, Miguel R. D. Rodrigues
2023	—	`conf`	MIMMO: Multi-Input Massive Multi-Output Neural Network. CVPR Workshops Martin Ferianc, Miguel Rodrigues
2023	J	`jnl`	Renate: A Library for Real-World Continual Learning. CoRR Martin Wistuba, Martin Ferianc, Lukas Balles, Cédric Archambeau, Giovanni Zappella
2023	—	`conf`	Satellite-based InSAR Geodesy and Collocation with GNSS. CENTERIS/ProjMAN/HCist Juraj Papco, Matus Bakon, Lukas Kubica, Gabika Belicova, Branislav Droscak, Martin Ferianc, Martin Rovnak, Antonio M. Ruiz-Armenteros, Joaquim João Sousa
2022	J	`jnl`	Accelerating Bayesian Neural Networks via Algorithmic and Hardware Optimizations. IEEE Trans. Parallel Distributed Syst. Hongxiang Fan, Martin Ferianc, Zhiqiang Que, Xinyu Niu, Miguel R. D. Rodrigues, Wayne Luk
2022	—	`conf`	Algorithm and Hardware Co-design for Reconfigurable CNN Accelerator. ASP-DAC Hongxiang Fan, Martin Ferianc, Zhiqiang Que, He Li, Shuanglong Liu, Xinyu Niu, Wayne Luk
2022	A*	`conf`	Enabling fast uncertainty estimation: accelerating bayesian transformers via algorithmic and hardware optimizations. DAC Hongxiang Fan, Martin Ferianc, Wayne Luk
2022	J	`jnl`	FPGA-Based Acceleration for Bayesian Convolutional Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Hongxiang Fan, Martin Ferianc, Zhiqiang Que, Shuanglong Liu, Xinyu Niu, Miguel R. D. Rodrigues, Wayne Luk
2022	J	`jnl`	Simple Regularisation for Uncertainty-Aware Knowledge Distillation. CoRR Martin Ferianc, Miguel Rodrigues
2022	J	`jnl`	Toward Full-Stack Acceleration of Deep Convolutional Neural Networks on FPGAs. IEEE Trans. Neural Networks Learn. Syst. Shuanglong Liu, Hongxiang Fan, Martin Ferianc, Xinyu Niu, Huifeng Shi, Wayne Luk
2021	J	`jnl`	Algorithm and Hardware Co-design for Reconfigurable CNN Accelerator. CoRR Hongxiang Fan, Martin Ferianc, Zhiqiang Que, He Li, Shuanglong Liu, Xinyu Niu, Wayne Luk
2021	—	`conf`	ComBiNet: Compact Convolutional Bayesian Neural Network for Image Segmentation. ICANN (3) Martin Ferianc, Divyansh Manocha, Hongxiang Fan, Miguel Rodrigues
2021	J	`jnl`	ComBiNet: Compact Convolutional Bayesian Neural Network for Image Segmentation. CoRR Martin Ferianc, Divyansh Manocha, Hongxiang Fan, Miguel Rodrigues
2021	A*	`conf`	High-Performance FPGA-based Accelerator for Bayesian Neural Networks. DAC Hongxiang Fan, Martin Ferianc, Miguel Rodrigues, Hongyu Zhou, Xinyu Niu, Wayne Luk
2021	J	`jnl`	High-Performance FPGA-based Accelerator for Bayesian Neural Networks. CoRR Hongxiang Fan, Martin Ferianc, Miguel Rodrigues, Hongyu Zhou, Xinyu Niu, Wayne Luk
2021	J	`jnl`	High-Performance FPGA-based Accelerator for Bayesian Recurrent Neural Networks. CoRR Martin Ferianc, Zhiqiang Que, Hongxiang Fan, Wayne Luk, Miguel Rodrigues
2021	J	`jnl`	On Causal Inference for Data-free Structured Pruning. CoRR Martin Ferianc, Anush Sankaran, Olivier Mastropietro, Ehsan Saboori, Quentin Cappart
2021	J	`jnl`	On the Effects of Quantisation on Model Uncertainty in Bayesian Neural Networks. CoRR Martin Ferianc, Partha Maji, Matthew Mattina, Miguel Rodrigues
2021	A	`conf`	On the effects of quantisation on model uncertainty in Bayesian neural networks. UAI Martin Ferianc, Partha Maji, Matthew Mattina, Miguel Rodrigues
2021	—	`conf`	Optimizing Bayesian Recurrent Neural Networks on an FPGA-based Accelerator. FPT Martin Ferianc, Zhiqiang Que, Hongxiang Fan, Wayne Luk, Miguel Rodrigues
2020	—	`conf`	Improving Performance Estimation for FPGA-Based Accelerators for Convolutional Neural Networks. ARC Martin Ferianc, Hongxiang Fan, Ringo S. W. Chu, Jakub Stano, Wayne Luk
2020	C	`conf`	Optimizing FPGA-Based CNN Accelerator Using Differentiable Neural Architecture Search. ICCD Hongxiang Fan, Martin Ferianc, Shuanglong Liu, Zhiqiang Que, Xinyu Niu, Wayne Luk
2020	J	`jnl`	VINNAS: Variational Inference-based Neural Network Architecture Search. CoRR Martin Ferianc, Hongxiang Fan, Miguel Rodrigues
2019	—	`conf`	F-E3D: FPGA-based Acceleration of an Efficient 3D Convolutional Neural Network for Human Action Recognition. ASAP Hongxiang Fan, Cheng Luo, Chenglong Zeng, Martin Ferianc, Zhiqiang Que, Shuanglong Liu, Xinyu Niu, Wayne Luk
2019	—	`conf`	Static Block Floating-Point Quantization for Convolutional Neural Networks on FPGA. FPT Hongxiang Fan, Gang Wang, Martin Ferianc, Xinyu Niu, Wayne Luk
2018	—	`conf`	A Real-Time Object Detection Accelerator with Compressed SSDLite on FPGA. FPT Hongxiang Fan, Shuanglong Liu, Martin Ferianc, Ho-Cheung Ng, Zhiqiang Que, Shen Liu, Xinyu Niu, Wayne Luk