Igor Fedorov
Igor Fedorov
ARM ML Research
Verified email at arm.com - Homepage
Title
Cited by
Cited by
Year
Sparse: Sparse architecture search for cnns on resource-constrained microcontrollers
I Fedorov, RP Adams, M Mattina, PN Whatmough
arXiv preprint arXiv:1905.12107, 2019
542019
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, 2021
312021
Compressing rnns for iot devices by 15-38x using kronecker products
U Thakker, J Beu, D Gope, C Zhou, I Fedorov, G Dasika, M Mattina
arXiv preprint arXiv:1906.02876, 2019
292019
Automated Worker Activity Analysis in Indoor Environments for Direct-Work Rate Improvement from Long Sequences of RGB-D Images
A Khosrowpour, I Fedorov, A Holynski, JC Niebles, M Golparvar-Fard
Journal of Construction Engineering and Management, 2015
272015
Automated Worker Activity Analysis in Indoor Environments for Direct-Work Rate Improvement from Long Sequences of RGB-D Images
A Khosrowpour, I Fedorov, A Holynski, JC Niebles, M Golparvar-Fard
Construction Research Congress 2014@ sConstruction in a Global Network, 729-738, 2014
272014
Power delivery for series connected voltage domains in digital circuits
PS Shenoy, I Fedorov, T Neyens, PT Krein
2011 International Conference on Energy Aware Computing, 1-6, 2011
182011
Rectified gaussian scale mixtures and the sparse non-negative least squares problem
A Nalci, I Fedorov, M Al-Shoukairi, TT Liu, BD Rao
IEEE Transactions on Signal Processing 66 (12), 3124-3139, 2018
172018
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, 2020
162020
Multimodal sparse Bayesian dictionary learning applied to multimodal data classification
I Fedorov, BD Rao, TQ Nguyen
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
142017
Pushing the limits of rnn compression
U Thakker, I Fedorov, J Beu, D Gope, C Zhou, G Dasika, M Mattina
arXiv preprint arXiv:1910.02558, 2019
112019
A Unified Framework for Sparse Non-Negative Least Squares using Multiplicative Updates and the Non-Negative Matrix Factorization Problem
I Fedorov, A Nalci, R Giri, BD Rao, TQ Nguyen, H Garudadri
Signal Processing, 2018
102018
Robust Bayesian method for simultaneous block sparse signal recovery with applications to face recognition
I Fedorov, R Giri, BD Rao, TQ Nguyen
2016 IEEE International Conference on Image Processing (ICIP), 3872-3876, 2016
92016
Relevance subject machine: a novel person re-identification framework
I Fedorov, R Giri, BD Rao, TQ Nguyen
arXiv preprint arXiv:1703.10645, 2017
42017
Mango: A Python Library for Parallel Hyperparameter Tuning
SS Sandha, M Aggarwal, I Fedorov, M Srivastava
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
32020
SSGD: Sparsity-promoting stochastic gradient descent algorithm for unbiased DNN pruning
CH Lee, I Fedorov, BD Rao, H Garudadri
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
32020
Multimodal sparse bayesian dictionary learning
I Fedorov, BD Rao
arXiv preprint arXiv:1804.03740, 2018
32018
Re-weighted learning for sparsifying deep neural networks
I Fedorov, BD Rao
arXiv preprint arXiv:1802.01616, 2018
12018
Total variation regularization in i-123 ioflupane spect reconstruction
I Fedorov, B Song, B Rao, I Litvan, S Obrzut
Journal of Nuclear Medicine 58 (supplement 1), 1357-1357, 2017
12017
Compressing RNNs to Kilobyte Budget for IoT Devices Using Kronecker Products
U Thakker, I Fedorov, C Zhou, D Gope, M Mattina, G Dasika, J Beu
ACM Journal on Emerging Technologies in Computing Systems (JETC) 17 (4), 1-18, 2021
2021
Image denoising neural network architecture and method of training the same
M El-Khamy, I Fedorov, J Lee
US Patent 10,726,525, 2020
2020
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Articles 1–20