Matthew Nokleby
Matthew Nokleby
ML for Perception | Cruise
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Cited by
Cited by
Learning deep networks from noisy labels with dropout regularization
I Jindal, M Nokleby, X Chen
2016 IEEE 16th International Conference on Data Mining (ICDM), 967-972, 2016
A unified neural network approach for estimating travel time and distance for a taxi trip
I Jindal, X Chen, M Nokleby, J Ye
arXiv preprint arXiv:1710.04350, 2017
User cooperation for energy-efficient cellular communications
M Nokleby, B Aazhang
2010 IEEE International Conference on Communications, 1-5, 2010
Optimizing taxi carpool policies via reinforcement learning and spatio-temporal mining
I Jindal, ZT Qin, X Chen, M Nokleby, J Ye
2018 IEEE International Conference on Big Data (Big Data), 1417-1426, 2018
An effective label noise model for dnn text classification
I Jindal, D Pressel, B Lester, M Nokleby
arXiv preprint arXiv:1903.07507, 2019
Anytime minibatch: Exploiting stragglers in online distributed optimization
N Ferdinand, H Al-Lawati, SC Draper, M Nokleby
arXiv preprint arXiv:2006.05752, 2020
Lattice coding over the relay channel
M Nokleby, B Aazhang
2011 IEEE International Conference on Communications (ICC), 1-5, 2011
Cooperative power scheduling for wireless MIMO networks
M Nokleby, AL Swindlehurst, Y Rong, Y Hua
IEEE GLOBECOM 2007-IEEE Global Telecommunications Conference, 2982-2986, 2007
Discrimination on the Grassmann manifold: Fundamental limits of subspace classifiers
M Nokleby, M Rodrigues, R Calderbank
IEEE Transactions on Information Theory 61 (4), 2133-2147, 2015
Bargaining and the MISO interference channel
M Nokleby, AL Swindlehurst
EURASIP Journal on Advances in Signal Processing 2009, 1-13, 2009
Toward resource-optimal consensus over the wireless medium
M Nokleby, WU Bajwa, R Calderbank, B Aazhang
IEEE Journal of Selected Topics in Signal Processing 7 (2), 284-295, 2013
A robotic recording and playback platform for training surgeons and learning autonomous behaviors using the da Vinci surgical system
A Pandya, S Eslamian, H Ying, M Nokleby, LA Reisner
Robotics 8 (1), 9, 2019
Cooperative compute-and-forward
M Nokleby, B Aazhang
IEEE Transactions on Wireless Communications 15 (1), 14-27, 2015
Low-density lattice codes for full-duplex relay channels
NS Ferdinand, M Nokleby, B Aazhang
IEEE Transactions on Wireless Communications 14 (4), 2309-2321, 2014
Low-dimensional shaping for high-dimensional lattice codes
NS Ferdinand, BM Kurkoski, M Nokleby, B Aazhang
IEEE Transactions on Wireless Communications 15 (11), 7405-7418, 2016
Scaling-up distributed processing of data streams for machine learning
M Nokleby, H Raja, WU Bajwa
Proceedings of the IEEE 108 (11), 1984-2012, 2020
Deep reinforcement learning for optimizing carpooling policies
I Jindal, Z Qin, X Chen, M Nokleby, J Ye
US Patent App. 15/970,425, 2019
Stochastic optimization from distributed streaming data in rate-limited networks
M Nokleby, WU Bajwa
IEEE transactions on signal and information processing over networks 5 (1 …, 2018
“Stream loss”: ConvNet learning for face verification using unlabeled videos in the wild
E Rashedi, E Barati, M Nokleby, X Chen
Neurocomputing 329, 311-319, 2019
Multi-scale spectrum sensing in dense multi-cell cognitive networks
N Michelusi, M Nokleby, U Mitra, R Calderbank
IEEE Transactions on Communications 67 (4), 2673-2688, 2018
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