Lepri, N.
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1

Compact Modeling and Mitigation of Parasitics in Crosspoint..:

Lepri, N. ; Glukhov, A. ; Mannocci, P...
IEEE Transactions on Electron Devices.  71 (2024)  3 - p. 1900-1906 , 2024
 
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2

In-memory neural network accelerator based on phase change ..:

, In: 2023 IEEE International Memory Workshop (IMW),
Lepri, N. ; Gibertini, P. ; Mannocci, P.... - p. 1-4 , 2023
 
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3

Enhancing reliability of a strong physical unclonable funct..:

, In: 2023 IEEE International Reliability Physics Symposium (IRPS),
Cattaneo, L. ; Baldo, M. ; Lepri, N.... - p. 1-6 , 2023
 
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4

In-Memory Computing for Machine Learning and Deep Learning:

Lepri, N. ; Glukhov, A. ; Cattaneo, L....
IEEE Journal of the Electron Devices Society.  11 (2023)  - p. 587-601 , 2023
 
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5

Modeling and Compensation of IR Drop in Crosspoint Accelera..:

Lepri, N. ; Baldo, M. ; Mannocci, P....
IEEE Transactions on Electron Devices.  69 (2022)  3 - p. 1575-1581 , 2022
 
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6

Status and challenges of in-memory computing for neural acc..:

, In: 2022 International Symposium on VLSI Technology, Systems and Applications (VLSI-TSA),
Ielmini, D. ; Lepri, N. ; Mannocci, P.. - p. 1-2 , 2022
 
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8

In-Memory Computing for Machine Learning and Deep Learning:

Lepri, N ; Glukhov, A ; Cattaneo, L...
info:eu-repo/semantics/altIdentifier/wos/WOS:001102293500001.  , 2023
 
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9

Accurate Program/Verify Schemes of Resistive Switching Memo..:

Milo V ; Glukhov A ; Perez E...
info:eu-repo/semantics/altIdentifier/wos/WOS:000678349800021.  , 2021
 
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11

In-Memory Computing for Machine Learning and Deep Learning:

N. Lepri ; A. Glukhov ; L. Cattaneo...
https://ieeexplore.ieee.org/document/10103697/.  , 2023
 
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14

P.0516 Genotype rs25531 polymorphisms and quality in peer r..:

Bonassi, A. ; Cataldo, I. ; Tandiono, M....
European Neuropsychopharmacology.  53 (2021)  - p. S380-S381 , 2021
 
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15

P.112 Effect of early paternal caregiving and genotype rs25..:

Bonassi, A. ; Cataldo, I. ; Tandiono, M....
European Neuropsychopharmacology.  44 (2021)  - p. S9-S10 , 2021
 
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