Author of the publication

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

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)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Damien Guironnet

Catalytic polymerization of acrylates and in supercritical carbon dioxideD. Guironnet. Uni Konstanz, (2009)

Damien Neyret

Damien Ciabrini

Damien Cassou

Damien Stehlé

Other publications of authors with the same name

On the Physical Underpinnings of the Unusual Effectiveness of Probabilistic and Neural Computation.S. Tiwari, and D. Querlioz. ICRC, page 1-4. IEEE, (2017)Spintronic memristors for computing.Q. Shao, Z. Wang, Y. Zhou, S. Fukami, D. Querlioz, J. Yang, Y. Chen, and L. Chua. CoRR, (2021)Monte Carlo simulations of carbon nanotube networks for optoelectronic applications.M. Diez-Garcia, A. Vincent, N. Izard, and D. Querlioz. NANOARCH, page 135-136. IEEE Computer Society/ACM, (2014)Harnessing intrinsic memristor randomness with Bayesian neural networks.T. Dalgaty, E. Vianello, and D. Querlioz. ICICDT, page 1-4. IEEE, (2021)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)Experimental Demonstration of Multilevel Resistive Random Access Memory Programming for up to Two Months Stable Neural Networks Inference Accuracy.E. Esmanhotto, T. Hirtzlin, D. Bonnet, N. Castellani, J. Portal, D. Querlioz, and E. Vianello. Adv. Intell. Syst., (2022)Forecasting the outcome of spintronic experiments with Neural Ordinary Differential Equations.X. Chen, F. Araujo, M. Riou, J. Torrejon, D. Ravelosona, W. Kang, W. Zhao, J. Grollier, and D. Querlioz. CoRR, (2021)In-Memory and Error-Immune Differential RRAM Implementation of Binarized Deep Neural Networks.M. Bocquet, T. Hirtzlin, J. Klein, E. Nowak, E. Vianello, J. Portal, and D. Querlioz. CoRR, (2019)Continual Weight Updates and Convolutional Architectures for Equilibrium Propagation.M. Ernoult, J. Grollier, D. Querlioz, Y. Bengio, and B. Scellier. CoRR, (2020)Synaptic Metaplasticity in Binarized Neural Networks.A. Laborieux, M. Ernoult, T. Hirtzlin, and D. Querlioz. CoRR, (2020)

BibSonomy

Disambiguation of "Querlioz, Damien"

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

Damien Guironnet

Damien Neyret

Damien Ciabrini

Damien Cassou

Damien Stehlé

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Querlioz, Damien"

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

Damien Guironnet

Damien Neyret

Damien Ciabrini

Damien Cassou

Damien Stehlé

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
Harvard
MSOffice XML

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