Nicola Lepri

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 8

Top Topics

Address Event Representation

Statistical Distribution

Highly Efficient

Top Venues

Publications

Yang Li, Wei Wang, Ming Wang, Chunmeng Dou, Zhengyu Ma, Huihui Zhou, Peng Zhang, Nicola Lepri, Xumeng Zhang, Qing Luo, Xiaoxin Xu, Guanhua Yang, Feng Zhang, Ling Li, Daniele Ielmini, Ming Liu
Binary-Stochasticity-Enabled Highly Efficient Neuromorphic Deep Learning Achieves Better-than-Software Accuracy. Adv. Intell. Syst. 6 (1) (2024)
Nicola Lepri, P. Gibertini, Piergiulio Mannocci, A. Pirovano, I. Tortorelli, Paolo Fantini, Daniele Ielmini
In-memory neural network accelerator based on phase change memory (PCM) with one-selector/one-resistor (1S1R) structure operated in the subthreshold regime. IMW (2023)
Yang Li, Wei Wang, Ming Wang, Chunmeng Dou, Zhengyu Ma, Huihui Zhou, Peng Zhang, Nicola Lepri, Xumeng Zhang, Qing Luo, Xiaoxin Xu, Guanhua Yang, Feng Zhang, Ling Li, Daniele Ielmini, Ming Liu
Binary stochasticity enabled highly efficient neuromorphic deep learning achieves better-than-software accuracy. CoRR (2023)
L. Cattaneo, Matteo Baldo, Nicola Lepri, F. Sancandi, Massimo Borghi, Elisa Petroni, A. Serafini, R. Annunziata, Andrea Redaelli, Daniele Ielmini
Enhancing reliability of a strong physical unclonable function (PUF) solution based on virgin-state phase change memory (PCM). IRPS (2023)
Xabier Iturbe, Nassim Abderrahmane, Jaume Abella, Sergi Alcaide, Eric Beyne, Henri-Pierre Charles, Christelle Charpin-Nicolle, Lars Chittka, Angélica Dávila, Arne Erdmann, Carles Estrada, Ander Fernández, Anna Fontanelli, José Flich, Gianluca Furano, Alejandro Hernán Gloriani, Erik Isusquiza, Radu Grosu, Carles Hernández, Daniele Ielmini, David Jackson, Maha Kooli, Nicola Lepri, Bernabé Linares-Barranco, Jean-Loup Lachese, Eric Laurent, Menno Lindwer, Frank Linsenmaier, Mikel Luján, Karel Masarík, Nele Mentens, Orlando Moreira, Chinmay Nawghane, Luca Peres, Jean-Philippe Noel, Arash Pourtaherian, Christoph Posch, Peter Priller, Zdenek Prikryl, Felix Resch, Oliver Rhodes, Todor P. Stefanov, Moritz Storring, Michele Taliercio, Rafael Tornero, Marcel D. van de Burgwal, Geert Van der Plas, Elisa Vianello, Pavel Zaykov
NimbleAI: Towards Neuromorphic Sensing-Processing 3D-integrated Chips. DATE (2023)
Artem Glukhov, Valerio Milo, Andrea Baroni, Nicola Lepri, Cristian Zambelli, Piero Olivo, Eduardo Pérez, Christian Wenger, Daniele Ielmini
Statistical model of program/verify algorithms in resistive-switching memories for in-memory neural network accelerators. IRPS (2022)
Artem Glukhov, Nicola Lepri, Valerio Milo, Andrea Baroni, Cristian Zambelli, Piero Olivo, Eduardo Pérez, Christian Wenger, Daniele Ielmini
End-to-end modeling of variability-aware neural networks based on resistive-switching memory arrays. VLSI-SoC (2022)
Nicola Lepri, Artem Glukhov, Daniele Ielmini
Mitigating read-program variation and IR drop by circuit architecture in RRAM-based neural network accelerators. IRPS (2022)