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Contrasting Advantages of Learning With Random Weights and Backpropagation in Non-Volatile Memory Neural Networks.

C. Bennett, V. Parmar, L. Calvet, J. Klein, M. Suri, M. Marinella, and D. Querlioz. IEEE Access, (2019)

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Marinella Termite

Marinella Damian

Marinella Verrucci

Matthew Mellon

Matthew David

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Research Challenges for Energy-Efficient Computing in Automated Vehicles.R. Dick, R. Aitken, J. Mogill, J. Strachan, K. Bresniker, W. Lu, Y. Nakahira, Z. Li, M. Marinella, W. Severa and 5 other author(s). Computer, 56 (3): 47-58 (March 2023)Resistive memory device requirements for a neural algorithm accelerator.S. Agarwal, S. Plimpton, D. Hughart, A. Hsia, I. Richter, J. Cox, C. James, and M. Marinella. IJCNN, page 929-938. IEEE, (2016)Process Variation Model and Analysis for Domain Wall-Magnetic Tunnel Junction Logic.X. Hu, A. Edwards, T. Xiao, C. Bennett, J. Incorvia, M. Marinella, and J. Friedman. ISCAS, page 1-5. IEEE, (2020)Analog Neural Network Inference Accuracy in One-Selector One-Resistor Memory Arrays.J. Kim, T. Xiao, C. Bennett, D. Wilson, M. Spear, M. Siath, B. Feinberg, S. Agarwal, and M. Marinella. ICRC, page 7-12. IEEE, (2022)Unsupervised Competitive Hardware Learning Rule for Spintronic Clustering Architecture.A. Velasquez, C. Bennett, N. Hassan, W. Brigner, O. Akinola, J. Incorvia, M. Marinella, and J. Friedman. CoRR, (2020)An Analog Preconditioner for Solving Linear Systems.B. Feinberg, R. Wong, T. Xiao, C. Bennett, J. Rohan, E. Boman, M. Marinella, S. Agarwal, and E. Ipek. HPCA, page 761-774. IEEE, (2021)Purely Spintronic Leaky Integrate-and-Fire Neurons.W. Brigner, N. Hassan, X. Hu, C. Bennett, F. García-Sánchez, M. Marinella, J. Incorvia, and J. Friedman. ISCAS, page 1189-1193. IEEE, (2022)CMOS-Free Magnetic Domain Wall Leaky Integrate-and-Fire Neurons with Intrinsic Lateral Inhibition.N. Hassan, W. Brigner, X. Hu, O. Akinola, C. Bennett, M. Marinella, F. García-Sánchez, J. Incorvia, and J. Friedman. ISCAS, page 1-5. IEEE, (2020)Plasticity-Enhanced Domain-Wall MTJ Neural Networks for Energy-Efficient Online Learning.C. Bennett, T. Xiao, C. Cui, N. Hassan, O. Akinola, J. Incorvia, A. Velasquez, J. Friedman, and M. Marinella. ISCAS, page 1-5. IEEE, (2020)Contrasting Advantages of Learning With Random Weights and Backpropagation in Non-Volatile Memory Neural Networks.C. Bennett, V. Parmar, L. Calvet, J. Klein, M. Suri, M. Marinella, and D. Querlioz. IEEE Access, (2019)

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Disambiguation of "Marinella, Matthew J."

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Contrasting Advantages of Learning With Random Weights and Backpropagation in Non-Volatile Memory Neural Networks.

Please choose a person to relate this publication to

Marinella Termite

Marinella Damian

Marinella Verrucci

Matthew Mellon

Matthew David

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Marinella, Matthew J."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Contrasting Advantages of Learning With Random Weights and Backpropagation in Non-Volatile Memory Neural Networks.

Please choose a person to relate this publication to

Marinella Termite

Marinella Damian

Marinella Verrucci

Matthew Mellon

Matthew David

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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MSOffice XML

Contrasting Advantages of Learning With Random Weights and Backpropagation in Non-Volatile Memory Neural Networks.