Author

Mattina R

Unknown affiliation - Cited by 5,547 - Machine learning - artificial intelligence

Biography

Department of Public Health, Microbiology and Virology, University of Milan, Milan, Italy MRPF supports organizations and initiatives primarily in Maine and Massachusetts that focus on education, healthcare, music, and environmental stewardship.
Title
Cited by
Year
Federated learning based on dynamic regularization
DAE Acar, Y Zhao, RM Navarro, M Mattina, PN Whatmough, V SaligramaarXiv preprint arXiv:2111.04263, 2021202
357
2021
Micronets: Neural network architectures for deploying tinyml applications on commodity microcontrollers
C Banbury, C Zhou, I Fedorov, R Matas, U Thakker, D Gope, ...Proceedings of Machine Learning and Systems 3, 517-532, 2021202
161
2021
A systematic methodology for characterizing scalability of dnn accelerators using scale-sim
A Samajdar, JM Joseph, Y Zhu, P Whatmough, M Mattina, T Krishna2020 IEEE International Symposium on Performance Analysis of Systems and …, 2020202
96
2020
TinyLSTMs: Efficient neural speech enhancement for hearing aids
I Fedorov, M Stamenovic, C Jensen, LC Yang, A Mandell, Y Gan, ...arXiv preprint arXiv:2005.11138, 2020202
67
2020
S2ta: Exploiting structured sparsity for energy-efficient mobile cnn acceleration
ZG Liu, PN Whatmough, Y Zhu, M Mattina2022 IEEE International Symposium on High-Performance Computer Architecture …, 2022202
32
2022
Debiasing model updates for improving personalized federated training
DAE Acar, Y Zhao, R Zhu, R Matas, M Mattina, P Whatmough, ...International Conference on Machine Learning, 21-, 2021202
31
2021
Searching for winograd-aware quantized networks
J Fernandez-Marques, P Whatmough, A Mundy, M MattinaProceedings of Machine Learning and Systems 2, 14-29, 2020202
30
2020
Systolic convolutional neural network
PN Whatmough, IR Bratt, M MattinaUS Patent 11,188,814, 2021202
26
2021
Stochastic-yolo: Efficient probabilistic object detection under dataset shifts
T Azevedo, R de Jong, M Mattina, P MajiarXiv preprint arXiv:2009.02967, 2020202
17
2020
Efficient residue number system based winograd convolution
ZG Liu, M MattinaEuropean Conference on Computer Vision, 53-68, 2020202
14
2020
Sparse systolic tensor array for efficient CNN hardware acceleration
ZG Liu, PN Whatmough, M MattinaarXiv preprint arXiv:2009.02381, 2020202
11
2020
ISP4ML: The role of image signal processing in efficient deep learning vision systems
P Hansen, A Vilkin, Y Krustalev, J Imber, D Talagala, D Hanwell, ...2020 25th International Conference on Pattern Recognition (ICPR), 2438-2445, 2021202
11
2021
Rank and run-time aware compression of NLP applications
U Thakker, J Beu, D Gope, G Dasika, M MattinaarXiv preprint arXiv:20.03193, 2020202
10
2020
UDC: Unified DNAS for compressible TinyML models
I Fedorov, R Matas, H Tann, C Zhou, M Mattina, P WhatmougharXiv preprint arXiv:2201.0542, 2022202
8
2022
On the effects of quantisation on model uncertainty in bayesian neural networks
M Ferianc, P Maji, M Mattina, M RodriguesUncertainty in Artificial Intelligence, 929-938, 2021202
7
2021
Doping: A technique for extreme compression of lstm models using sparse structured additive matrices
U Thakker, P Whatmough, Z Liu, M Mattina, J BeuProceedings of machine learning and systems 3, 533-549, 2021202
6
2021
Towards efficient point cloud graph neural networks through architectural simplification
SA Tailor, R de Jong, T Azevedo, M Mattina, P MajiProceedings of the IEEE/CVF International Conference on Computer Vision …, 2021202
6
2021
Matrix multiplication system and method
ZG Liu, M Mattina, PN WhatmoughUS Patent 11,120,101, 2021202
5
2021
Computing in parallel processing environments
M Mattina, CC MiaoUS Patent 10,606,70, 2020202
5
2020
System, method and apparatus for training neural networks using multiple datasets
PN Whatmough, M Mattina, JG BeuUS Patent 11,60,533, 2023202
4
2023

Referred From: https://scholar.google.com/citations?user=qm9Cpj0AAAAJ&hl=en

Cited by
Citations 5547
h-index 32
i10-index 59
Recommended Journals
Open Access Journals