Partha Maji

According to our database, Partha Maji authored at least 16 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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., April, 2024

2022

TinyOps: ImageNet Scale Deep Learning on Microcontrollers.

Sulaiman Sadiq, Jonathon S. Hare, Partha Maji, Simon Craske, Geoff V. Merrett

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

On Efficient Uncertainty Estimation for Resource-Constrained Mobile Applications.

Johanna Rock, Tiago Azevedo, René de Jong, Daniel Ruiz-Muñoz, 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

Stochastic-Shield: A Probabilistic Approach Towards Training-Free Adversarial Defense in Quantized CNNs.

Lorena Qendro, Sangwon Ha, René de Jong, Partha Maji

CoRR, 2021

On the effects of quantisation on model uncertainty in Bayesian neural networks.

Martin Ferianc, Partha Maji, Matthew Mattina, Miguel Rodrigues

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Towards Efficient Point Cloud Graph Neural Networks Through Architectural Simplification.

Shyam A. Tailor, René de Jong, Tiago Azevedo, Matthew Mattina, Partha Maji

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2020

Model-architecture co-design of deep neural networks for embedded systems.

Partha Maji

PhD thesis, 2020

Stochastic-YOLO: Efficient Probabilistic Object Detection under Dataset Shifts.

Tiago Azevedo, René de Jong, Partha Maji

CoRR, 2020

2019

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

Proceedings of the 2nd Workshop on Energy Efficient Machine Learning and Cognitive Computing for Embedded Applications, 2019

2018

On the Reduction of Computational Complexity of Deep Convolutional Neural Networks.

Partha Maji, Robert D. Mullins

Entropy, 2018

2017

ADaPT: optimizing CNN inference on IoT and mobile devices using approximately separable 1-D kernels.

Partha Maji, Daniel Bates, Alex Chadwick, Robert D. Mullins

Proceedings of the 1st International Conference on Internet of Things and Machine Learning, 2017

1D-FALCON: Accelerating Deep Convolutional Neural Network Inference by Co-optimization of Models and Underlying Arithmetic Implementation.

Partha Maji, Robert D. Mullins

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017

2010

An analytical performance model for the Spidergon NoC with virtual channels.

Mahmoud Moadeli, Alireza Shahrabi, Wim Vanderbauwhede, Partha P. Maji

J. Syst. Archit., 2010

2009

Design and implementation of the Quarc Network on-Chip.

Mahmoud Moadeli, Partha P. Maji, Wim Vanderbauwhede

Proceedings of the 23rd IEEE International Symposium on Parallel and Distributed Processing, 2009

Quarc: A High-Efficiency Network on-Chip Architecture.

Mahmoud Moadeli, Partha P. Maji, Wim Vanderbauwhede

Proceedings of the IEEE 23rd International Conference on Advanced Information Networking and Applications, 2009