Quarc: A High-Efficiency Network on-Chip Architecture. - Mahmoud Moadeli; Partha P. Maji; Wim Vanderbauwhede (AINA, 2009)

Design and implementation of the Quarc Network on-Chip. - Mahmoud Moadeli; Partha P. Maji; Wim Vanderbauwhede (IPDPS, 2009)

An analytical performance model for the Spidergon NoC with virtual channels. - Mahmoud Moadeli; Alireza Shahrabi; Wim Vanderbauwhede; Partha P. Maji (J. Syst. Archit., 2010)

1D-FALCON: Accelerating Deep Convolutional Neural Network Inference by Co-optimization of Models and Underlying Arithmetic Implementation. - Partha Maji; Robert D. Mullins (ICANN (2), 2017)

ADaPT: optimizing CNN inference on IoT and mobile devices using approximately separable 1-D kernels. - Partha Maji; Daniel Bates; Alexandra W. Chadwick; Robert D. Mullins (IML, 2017)

On the Reduction of Computational Complexity of Deep Convolutional Neural Networks. - Partha Maji; Robert D. Mullins (Entropy, 2018)

Efficient Winograd or Cook-Toom Convolution Kernel Implementation on Widely Used Mobile CPUs. - Partha Maji; Andrew Mundy; Ganesh Dasika; Jesse G. Beu; Matthew Mattina; Robert D. Mullins (EMC2@HPCA/CVPR/ISCA, 2019)

Stochastic-YOLO: Efficient Probabilistic Object Detection under Dataset Shifts. - Tiago Azevedo; René de Jong; Partha Maji (CoRR, 2020)

Model-architecture co-design of deep neural networks for embedded systems. - Partha Maji (2020)

Towards Efficient Point Cloud Graph Neural Networks Through Architectural Simplification. - Shyam A. Tailor; René de Jong; Tiago Azevedo; Matthew Mattina; Partha Maji (ICCVW, 2021)

On the effects of quantisation on model uncertainty in Bayesian neural networks. - Martin Ferianc; Partha Maji; Matthew Mattina; Miguel Rodrigues 001 (UAI, 2021)

Stochastic-Shield: A Probabilistic Approach Towards Training-Free Adversarial Defense in Quantized CNNs. - Lorena Qendro; Sangwon Ha; René de Jong; Partha Maji (CoRR, 2021)

An Underexplored Dilemma between Confidence and Calibration in Quantized Neural Networks. - Guoxuan Xia; Sangwon Ha; Tiago Azevedo; Partha Maji (CoRR, 2021)

On Efficient Uncertainty Estimation for Resource-Constrained Mobile Applications. - Johanna Rock; Tiago Azevedo; René de Jong; Daniel Ruiz-Muñoz; Partha Maji (CoRR, 2021)

TinyOps: ImageNet Scale Deep Learning on Microcontrollers. - Sulaiman Sadiq; Jonathon S. Hare; Partha Maji; Simon Craske; Geoff V. Merrett (CVPR Workshops, 2022)

Enabling ImageNet-Scale Deep Learning on MCUs for Accurate and Efficient Inference. - Sulaiman Sadiq; Jonathon S. Hare; Simon Craske; Partha Maji; Geoff V. Merrett (IEEE Internet Things J., 2024)