Valerio Milo

15 papers C 5Journal 2Unranked 6
YearRankTypeTitle / Venue / Authors
2023 — conf
Towards a Universal Model of Dielectric Breakdown.
IRPS
Andrea Padovani, Paolo La Torraca, Jack Strand, Alexander L. Shluger, Valerio Milo, Luca Larcher
2022 C conf
End-to-end modeling of variability-aware neural networks based on resistive-switching memory arrays.
VLSI-SoC
Artem Glukhov, Nicola Lepri, Valerio Milo, Andrea Baroni, Cristian Zambelli, Piero Olivo, Eduardo Pérez, Christian Wenger, Daniele Ielmini
2022 — conf
Reliability of Non-Volatile Memory Devices for Neuromorphic Applications: A Modeling Perspective (Invited).
IRPS
Andrea Padovani, Milan Pesic, Federico Nardi, Valerio Milo, Luca Larcher, Mondol Anik Kumar, Zunaid Baten
2022 — conf
Statistical model of program/verify algorithms in resistive-switching memories for in-memory neural network accelerators.
IRPS
Artem Glukhov, Valerio Milo, Andrea Baroni, Nicola Lepri, Cristian Zambelli, Piero Olivo, Eduardo Pérez, Christian Wenger, Daniele Ielmini
2021 — conf
Optimized programming algorithms for multilevel RRAM in hardware neural networks.
IRPS
Valerio Milo, Francesco Anzalone, Cristian Zambelli, Eduardo Pérez, Mamathamba Kalishettyhalli Mahadevaiah, Oscar Gonzalez Ossorio, Piero Olivo, Christian Wenger, Daniele Ielmini
2020 C conf
A Spiking Recurrent Neural Network with Phase Change Memory Synapses for Decision Making.
ISCAS
Giacomo Pedretti, Valerio Milo, S. Hashemkhani, Piergiulio Mannocci, Octavian Melnic, Elisabetta Chicca, Daniele Ielmini
2019 — conf
A Volatile RRAM Synapse for Neuromorphic Computing.
ICECS
Erika Covi, Daniele Ielmini, Y.-H. Lin, Wei Wang, Tommaso Stecconi, Valerio Milo, Alessandro Bricalli, Elia Ambrosi, Giacomo Pedretti, Tseung-Yuen Tseng
2019 — ch.
Brain-Inspired Memristive Neural Networks for Unsupervised Learning.
Handbook of Memristor Networks
Daniele Ielmini, Valerio Milo
2019 — conf
Low-energy inference machine with multilevel HfO2 RRAM arrays.
ESSDERC
Valerio Milo, Cristian Zambelli, Piero Olivo, Eduardo Pérez, Oscar Gonzalez Ossorio, Christian Wenger, Daniele Ielmini
2019 — —
Modeling and simulation of spiking neural networks with resistive switching synapses.
Valerio Milo
2018 J jnl
A 4-Transistors/1-Resistor Hybrid Synapse Based on Resistive Switching Memory (RRAM) Capable of Spike-Rate-Dependent Plasticity (SRDP).
IEEE Trans. Very Large Scale Integr. Syst.
Valerio Milo, Giacomo Pedretti, Roberto Carboni, Alessandro Calderoni, Nirmal Ramaswamy, Stefano Ambrogio, Daniele Ielmini
2018 C conf
Brain-inspired recurrent neural network with plastic RRAM synapses.
ISCAS
Valerio Milo, Elisabetta Chicca, Daniele Ielmini
2018 C conf
Resistive switching synapses for unsupervised learning in feed-forward and recurrent neural networks.
ISCAS
Valerio Milo, Giacomo Pedretti, Mario Laudato, Alessandro Bricalli, Elia Ambrosi, Stefano Bianchi, Elisabetta Chicca, Daniele Ielmini
2018 J jnl
Stochastic Learning in Neuromorphic Hardware via Spike Timing Dependent Plasticity With RRAM Synapses.
IEEE J. Emerg. Sel. Topics Circuits Syst.
Giacomo Pedretti, Valerio Milo, Stefano Ambrogio, Roberto Carboni, Stefano Bianchi, Alessandro Calderoni, Nirmal Ramaswamy, Alessandro S. Spinelli, Daniele Ielmini
2016 C conf
Neuromorphic computing with hybrid memristive/CMOS synapses for real-time learning.
ISCAS
Daniele Ielmini, Stefano Ambrogio, Valerio Milo, Simone Balatti, Zhongqiang Wang