Unsupervised Learning to Overcome Catastrophic Forgetting in Neural Networks
- Irene Muñoz-Martín
- Stefano Bianchi
- et al.
- 2019
- IEEE JXCDC
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55 results for Stefano Ambrogio
A 4-Transistors/1-Resistor Hybrid Synapse Based on Resistive Switching Memory (RRAM) Capable of Spike-Rate-Dependent Plasticity (SRDP)
- Valerio Milo
- Giacomo Pedretti
- et al.
- 2018
- IEEE Transactions on VLSI Systems
Perspective on training fully connected networks with resistive memories: Device requirements for multiple conductances of varying significance
- Giorgio Cristiano
- Massimo Giordano
- et al.
- 2018
- Journal of Applied Physics
Modeling of Breakdown-Limited Endurance in Spin-Transfer Torque Magnetic Memory under Pulsed Cycling Regime
- Roberto Carboni
- Stefano Ambrogio
- et al.
- 2018
- IEEE T-ED
Stochastic Learning in Neuromorphic Hardware via Spike Timing Dependent Plasticity with RRAM Synapses
- Giacomo Pedretti
- Valerio Milo
- et al.
- 2018
- IEEE JESTCS
Accelerating AI with Analog In-Memory Computing
- Stefano Ambrogio
- 2024
- COOL Chips 2024
Noise-Resilient DNN: Tolerating Noise in PCM-Based AI Accelerators via Noise-Aware Training
- Sanjay Kariyappa
- Hsinyu Tsai
- et al.
- 2021
- IEEE T-ED
Toward Software-Equivalent Accuracy on Transformer-Based Deep Neural Networks With Analog Memory Devices
- Katherine Spoon
- Hsinyu Tsai
- et al.
- 2021
- Frontiers in Computational Neuroscience
Emerging neuromorphic devices
- Daniele Lelmini
- Stefano Ambrogio
- 2019
- Nanotechnology
AI hardware acceleration with analog memory: Microarchitectures for low energy at high speed
- H. Y. Chang
- Geoffrey W. Burr
- et al.
- 2019
- IBM J. Res. Dev