2 | Martin Ferianc

A Novel Semi-Automated Pipeline for Optimizing 3D-Printed Drug Formulations

Youssef Abdalla, Martin Ferianc, Haya Alfassam, Atheer Awad, Ruochen Qiao, Miguel Rodrigues, Mine Orlu, Abdul W. Basit, David Shorthouse

Online End-to-End Learning-Based Predictive Control for Microgrid Energy Management

Vittorio Casagrande, Martin Ferianc, Miguel Rodrigues, Francesca Boem

Smart Laser Sintering: Deep Learning-Powered Powder Bed Fusion 3D Printing in Precision Medicine

Youssef Abdalla, Martin Ferianc, Atheer Awad, Jeesu Kim, Moe Elbadawi, Abdul W. Basit, Mine Orlu, Miguel Rodrigues

Navigating Noise: A Study of How Noise Influences Generalisation and Calibration of Neural Networks

Martin Ferianc, Ondrej Bohdal, Timothy Hospedales, Miguel Rodrigues

Large language models surpass human experts in predicting neuroscience results

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Xiaoliang Luo, Akilles Rechardt, Guangzhi Sun, Kevin K Nejad, Felipe Yáñez, Bati Yilmaz, Kangjoo Lee, Alexandra O Cohen, Valentina Borghesani, Anton Pashkov, others

Accelerating Bayesian Neural Networks via Algorithmic and Hardware Optimizations

Hongxiang Fan, Martin Ferianc, Zhiqiang Que, Xinyu Niu, Miguel Rodrigues, Wayne Luk

FPGA-based Acceleration for Bayesian Convolutional Neural Networks

Hongxiang Fan, Martin Ferianc, Zhiqiang Que, Shuanglong Liu, Xinyu Niu, Miguel Rodrigues, Wayne Luk

Toward Full-Stack Acceleration of Deep Convolutional Neural Networks on FPGAs

Shuanglong Liu, Hongxiang Fan, Martin Ferianc, Xinyu Niu, Huifeng Shi, Wayne Luk

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

Martin Ferianc, Hongxiang Fan, Divyansh Manocha, Hongyu Zhou, Shuanglong Liu, Xinyu Niu, Wayne Luk