Nicola Lepri

According to our database, Nicola Lepri authored at least 8 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Binary-Stochasticity-Enabled Highly Efficient Neuromorphic Deep Learning Achieves Better-than-Software Accuracy.

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

Adv. Intell. Syst., January, 2024

2023

Binary stochasticity enabled highly efficient neuromorphic deep learning achieves better-than-software accuracy.

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

CoRR, 2023

Enhancing reliability of a strong physical unclonable function (PUF) solution based on virgin-state phase change memory (PCM).

L. Cattaneo, Matteo Baldo, Nicola Lepri, Flavio Sancandi, Massimo Borghi, Elisa Petroni, A. Serafini, Roberto Annunziata, Andrea Redaelli, Daniele Ielmini

Proceedings of the IEEE International Reliability Physics Symposium, 2023

In-memory neural network accelerator based on phase change memory (PCM) with one-selector/one-resistor (1S1R) structure operated in the subthreshold regime.

Nicola Lepri, P. Gibertini, Piergiulio Mannocci, A. Pirovano, I. Tortorelli, Paolo Fantini, Daniele Ielmini

Proceedings of the IEEE International Memory Workshop, 2023

NimbleAI: Towards Neuromorphic Sensing-Processing 3D-integrated Chips.

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

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

2022

End-to-end modeling of variability-aware neural networks based on resistive-switching memory arrays.

Artem Glukhov, Nicola Lepri, Valerio Milo, Andrea Baroni, Cristian Zambelli, Piero Olivo, Eduardo Pérez, Christian Wenger, Daniele Ielmini

Proceedings of the 30th IFIP/IEEE 30th International Conference on Very Large Scale Integration, 2022

Mitigating read-program variation and IR drop by circuit architecture in RRAM-based neural network accelerators.

Nicola Lepri, Artem Glukhov, Daniele Ielmini

Proceedings of the IEEE International Reliability Physics Symposium, 2022

Statistical model of program/verify algorithms in resistive-switching memories for in-memory neural network accelerators.

Artem Glukhov, Valerio Milo, Andrea Baroni, Nicola Lepri, Cristian Zambelli, Piero Olivo, Eduardo Pérez, Christian Wenger, Daniele Ielmini

Proceedings of the IEEE International Reliability Physics Symposium, 2022