Valerio Milo

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 13

Top Topics

Supervised Learning

Statistical Model

Biologically Plausible

Top Venues

IEEE J. Emerg. Sel. Topics Circuits Syst.

Publications

Andrea Padovani, Paolo La Torraca, Jack Strand, Alexander L. Shluger, Valerio Milo, Luca Larcher
Towards a Universal Model of Dielectric Breakdown. IRPS (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)
Andrea Padovani, Milan Pesic, Federico Nardi, Valerio Milo, Luca Larcher, Mondol Anik Kumar, Zunaid Baten
Reliability of Non-Volatile Memory Devices for Neuromorphic Applications: A Modeling Perspective (Invited). IRPS (2022)
Valerio Milo, Francesco Anzalone, Cristian Zambelli, Eduardo Pérez, Mamathamba Kalishettyhalli Mahadevaiah, Oscar Gonzalez Ossorio, Piero Olivo, Christian Wenger, Daniele Ielmini
Optimized programming algorithms for multilevel RRAM in hardware neural networks. IRPS (2021)
Giacomo Pedretti, Valerio Milo, S. Hashemkhani, Piergiulio Mannocci, O. Melnic, Elisabetta Chicca, Daniele Ielmini
A Spiking Recurrent Neural Network with Phase Change Memory Synapses for Decision Making. ISCAS (2020)
Erika Covi, Daniele Ielmini, Y.-H. Lin, W. Wang, T. Stecconi, Valerio Milo, Alessandro Bricalli, Elia Ambrosi, Giacomo Pedretti, Tseung-Yuen Tseng
A Volatile RRAM Synapse for Neuromorphic Computing. ICECS (2019)
Valerio Milo, Cristian Zambelli, Piero Olivo, Eduardo Pérez, Oscar Gonzalez Ossorio, Christian Wenger, Daniele Ielmini
Low-energy inference machine with multilevel HfO2 RRAM arrays. ESSDERC (2019)
Valerio Milo, Elisabetta Chicca, Daniele Ielmini
Brain-inspired recurrent neural network with plastic RRAM synapses. ISCAS (2018)
Valerio Milo, Giacomo Pedretti, Roberto Carboni, Alessandro Calderoni, Nirmal Ramaswamy, Stefano Ambrogio, Daniele Ielmini
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. 26 (12) (2018)
Giacomo Pedretti, Valerio Milo, Stefano Ambrogio, Roberto Carboni, Stefano Bianchi, Alessandro Calderoni, Nirmal Ramaswamy, Alessandro S. Spinelli, Daniele Ielmini
Stochastic Learning in Neuromorphic Hardware via Spike Timing Dependent Plasticity With RRAM Synapses. IEEE J. Emerg. Sel. Topics Circuits Syst. 8 (1) (2018)
Valerio Milo, Giacomo Pedretti, Mario Laudato, Alessandro Bricalli, Elia Ambrosi, Stefano Bianchi, Elisabetta Chicca, Daniele Ielmini
Resistive switching synapses for unsupervised learning in feed-forward and recurrent neural networks. ISCAS (2018)
Daniele Ielmini, Stefano Ambrogio, Valerio Milo, Simone Balatti, Zhongqiang Wang
Neuromorphic computing with hybrid memristive/CMOS synapses for real-time learning. ISCAS (2016)