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Stefano Bianchi
Stefano Bianchi
R&D Scientist - AMS/RF and AI accelerators designer
Verified email at polimi.it - Homepage
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Cited by
Cited by
Year
Memristive neural network for on-line learning and tracking with brain-inspired spike timing dependent plasticity
G Pedretti, V Milo, S Ambrogio, R Carboni, S Bianchi, A Calderoni, ...
Scientific reports 7 (1), 5288, 2017
1682017
Stochastic learning in neuromorphic hardware via spike timing dependent plasticity with RRAM synapses
G Pedretti, V Milo, S Ambrogio, R Carboni, S Bianchi, A Calderoni, ...
IEEE Journal on Emerging and Selected Topics in Circuits and Systems 8 (1 …, 2017
462017
Unsupervised learning to overcome catastrophic forgetting in neural networks
I Munoz-Martin, S Bianchi, G Pedretti, O Melnic, S Ambrogio, D Ielmini
IEEE Journal on Exploratory Solid-State Computational Devices and Circuits 5 …, 2019
332019
Modeling-based design of brain-inspired spiking neural networks with RRAM learning synapses
G Pedretti, S Bianchi, V Milo, A Calderoni, N Ramaswamy, D Ielmini
2017 IEEE International Electron Devices Meeting (IEDM), 28.1. 1-28.1. 4, 2017
272017
A self-adaptive hardware with resistive switching synapses for experience-based neurocomputing
S Bianchi, I Muñoz-Martin, E Covi, A Bricalli, G Piccolboni, A Regev, ...
Nature Communications 14 (1), 1565, 2023
152023
A compact model for stochastic spike-timing-dependent plasticity (STDP) based on resistive switching memory (RRAM) synapses
S Bianchi, G Pedretti, I Munoz-Martin, A Calderoni, N Ramaswamy, ...
IEEE Transactions on Electron Devices 67 (7), 2800-2806, 2020
142020
Energy-efficient continual learning in hybrid supervised-unsupervised neural networks with PCM synapses
S Bianchi, I Muñoz-Martín, G Pedretti, O Melnic, S Ambrogio, D Ielmini
2019 Symposium on VLSI Technology, T172-T173, 2019
142019
Resistive switching synapses for unsupervised learning in feed-forward and recurrent neural networks
V Milo, G Pedretti, M Laudato, A Bricalli, E Ambrosi, S Bianchi, E Chicca, ...
2018 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2018
142018
A brain-inspired homeostatic neuron based on phase-change memories for efficient neuromorphic computing
I Muñoz-Martin, S Bianchi, S Hashemkhani, G Pedretti, O Melnic, D Ielmini
Frontiers in Neuroscience 15, 709053, 2021
112021
Hardware implementation of PCM-based neurons with self-regulating threshold for homeostatic scaling in unsupervised learning
I Muńoz-Martín, S Bianchi, S Hashemkhani, G Pedretti, D Ielmini
2020 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2020
112020
Bio-inspired techniques in a fully digital approach for lifelong learning
S Bianchi, I Muñoz-Martin, D Ielmini
Frontiers in Neuroscience 14, 526368, 2020
92020
A bio-inspired recurrent neural network with self-adaptive neurons and PCM synapses for solving reinforcement learning tasks
S Bianchi, I Muńoz-Martín, S Hashemkhani, G Pedretti, D Ielmini
2020 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2020
82020
A SiOx RRAM-based hardware with spike frequency adaptation for power-saving continual learning in convolutional neural networks
I Muñoz-Martin, S Bianchi, E Covi, G Piccolboni, A Bricalli, A Regev, ...
2020 IEEE Symposium on VLSI Technology, 1-2, 2020
82020
A multilayer neural accelerator with binary activations based on phase-change memory
M Bertuletti, S Bianchi, AG Bonfanti, D Ielmini
IEEE Transactions on Electron Devices 70 (3), 986-992, 2023
62023
A drift-resilient hardware implementation of neural accelerators based on phase change memory devices
I Muñoz-Martín, S Bianchi, O Melnic, AG Bonfanti, D Ielmini
IEEE Transactions on Electron Devices 68 (12), 6076-6081, 2021
62021
Memristive neural network for on-line learning and tracking with brain-inspired spike timing dependent plasticity, Sci. Rep. 7 (2017) 5288
G Pedretti, V Milo, S Ambrogio, R Carboni, S Bianchi, A Calderoni, ...
52017
The PODCAST project–optimizing distribution networks with renewable energy sources
E Bessone, S Bianchi, S Massucco, CA Nucci, M Pentolini, F Raco
2018 AEIT International Annual Conference, 1-6, 2018
42018
Combining accuracy and plasticity in convolutional neural networks based on resistive memory arrays for autonomous learning
S Bianchi, I Muñoz-Martín, E Covi, A Bricalli, G Piccoloni, A Regev, ...
IEEE Journal on Exploratory Solid-State Computational Devices and Circuits 7 …, 2021
12021
Budget Impact Analysis of anakinra in the treatment of patients with Still’s Disease: Analisi di budget impact di anakinra nel trattamento della Malattia di Still in Italia
R Ravasio, R Giacomelli, S Bianchi
Global and Regional Health Technology Assessment 7 (1), 72-80, 2020
12020
Publisher Correction: Memristive neural network for on-line learning and tracking with brain-inspired spike timing dependent plasticity
G Pedretti, V Milo, S Ambrogio, R Carboni, S Bianchi, A Calderoni, ...
Scientific Reports 8, 2018
12018
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