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Milo, Valerio
39  results:
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1

Towards a Universal Model of Dielectric Breakdown:

, In: 2023 IEEE International Reliability Physics Symposium (IRPS),
Padovani, Andrea ; Torraca, Paolo La ; Strand, Jack... - p. 1-8 , 2023
Link: https://doi.org/10.1109/..
 
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2

End-to-end modeling of variability-aware neural networks ba..:

, In: 2022 IFIP/IEEE 30th International Conference on Very Large Scale Integration (VLSI-SoC),
Glukhov, Artem ; Lepri, Nicola ; Milo, Valerio... - p. 1-5 , 2022
Link: https://doi.org/10.1109/..
 
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3

Memristive/CMOS Devices for Neuromorphic Applications:

, In: Springer Handbook of Semiconductor Devices; Springer Handbooks,
Milo, Valerio ; Malavena, Gerardo ; Monzio Compagnoni, Christian. - p. 1167-1199 , 2022
Link: https://doi.org/10.1007/..
 
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4

Reliability of Non-Volatile Memory Devices for Neuromorphic..:

, In: 2022 IEEE International Reliability Physics Symposium (IRPS),
Padovani, Andrea ; Pesic, Milan ; Nardi, Federico... - p. 1-10 , 2022
Link: https://doi.org/10.1109/..
 
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5

Synaptic realizations based on memristive devices:

, In: Memristive Devices for Brain-Inspired Computing,
Milo, Valerio ; Dalgaty, Thomas ; Ielmini, Daniele. - p. 427-477 , 2020
Link: https://doi.org/10.1016/..
 
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6

List of contributors:

, In: Memristive Devices for Brain-Inspired Computing,
Ambrogio, Stefano ; Ben-Hur, Rotem ; Bohaichuk, Stephanie... - p. xv-xvii , 2020
Link: https://doi.org/10.1016/..
 
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7

A Spiking Recurrent Neural Network With Phase-Change Memory..:

Pedretti, Giacomo ; Mannocci, Piergiulio ; Hashemkhani, Shahin...
IEEE Journal on Exploratory Solid-State Computational Devices and Circuits.  6 (2020)  1 - p. 89-97 , 2020
Link: https://doi.org/10.1109/..
 
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8

Memristive and CMOS Devices for Neuromorphic Computing:

Milo, Valerio ; Malavena, Gerardo ; Monzio Compagnoni, Christian.
Materials.  13 (2020)  1 - p. 166 , 2020
Link: https://doi.org/10.3390/..
 
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9

Modeling and Simulation of Spiking Neural Networks with Res..:

, In: Special Topics in Information Technology; SpringerBriefs in Applied Sciences and Technology,
Milo, Valerio - p. 49-60 , 2019
Link: https://doi.org/10.1007/..
 
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10

Brain-Inspired Memristive Neural Networks for Unsupervised ..:

, In: Handbook of Memristor Networks,
Ielmini, Daniele ; Milo, Valerio - p. 495-525 , 2019
Link: https://doi.org/10.1007/..
 
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11

A 4-Transistors/1-Resistor Hybrid Synapse Based on Resistiv..:

Milo, Valerio ; Pedretti, Giacomo ; Carboni, Roberto...
IEEE Transactions on Very Large Scale Integration (VLSI) Systems.  26 (2018)  12 - p. 2806-2815 , 2018
Link: https://doi.org/10.1109/..
 
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12

Analytical Modeling of Organic–Inorganic CH3NH3PbI3 Perovsk..:

Ren, Yanyun ; Milo, Valerio ; Wang, Zhongqiang...
Advanced Theory and Simulations.  1 (2018)  4 - p. , 2018
Link: https://doi.org/10.1002/..
 
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13

Analytical Modeling of Organic–Inorganic CH3NH3PbI3 Perovsk..:

Ren, Yanyun ; Milo, Valerio ; Wang, Zhongqiang...
Advanced Theory and Simulations.  1 (2018)  4 - p. , 2018
Link: https://doi.org/10.1002/..
 
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14

Stochastic Learning in Neuromorphic Hardware via Spike Timi..:

Pedretti, Giacomo ; Milo, Valerio ; Ambrogio, Stefano...
IEEE Journal on Emerging and Selected Topics in Circuits and Systems.  8 (2018)  1 - p. 77-85 , 2018
Link: https://doi.org/10.1109/..
 
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15

Unsupervised Learning by Spike Timing Dependent Plasticity ..:

Ambrogio, Stefano ; Ciocchini, Nicola ; Laudato, Mario...
Frontiers in Neuroscience.  10 (2016)  - p. , 2016
Link: https://doi.org/10.3389/..
 
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