Elisa Vianello
Researcher / author (OpenAlex)
Facts
2 properties- Affiliation
- Alternative Energies and Atomic Energy Commission, CEA Grenoble, Direction de la recherche technologique, CEA-Leti, Grenoble Alpes Universityas of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
🔖 Identifiers · 2
- ORCID iD
- 0000-0002-8868-9951
- OpenAlex ID
- A5046458712as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 39
1S1R Optimization for High‐Frequency Inference on Binarized Spiking Neural Networks,
A CMOL-Like Memristor-CMOS Neuromorphic Chip-Core Demonstrating Stochastic Binary STDP,
A memristor-based Bayesian machine,
Analog Weight Updates with Compliance Current Modulation of Binary ReRAMs for On-Chip Learning,
Bio-Inspired Architectures Substantially Reduce the Memory Requirements of Neural Network Models,
Bringing uncertainty quantification to the extreme-edge with memristor-based Bayesian neural networks,
DenRAM: neuromorphic dendritic architecture with RRAM for efficient temporal processing with delays,
Emerging materials in neuromorphic computing: Guest editorial
+31 more
← Authored by 39
1S1R Optimization for High‐Frequency Inference on Binarized Spiking Neural Networks,
A CMOL-Like Memristor-CMOS Neuromorphic Chip-Core Demonstrating Stochastic Binary STDP,
A memristor-based Bayesian machine,
Analog Weight Updates with Compliance Current Modulation of Binary ReRAMs for On-Chip Learning,
Bio-Inspired Architectures Substantially Reduce the Memory Requirements of Neural Network Models,
Bringing uncertainty quantification to the extreme-edge with memristor-based Bayesian neural networks,
DenRAM: neuromorphic dendritic architecture with RRAM for efficient temporal processing with delays,
Emerging materials in neuromorphic computing: Guest editorial
+31 more
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Summary
Elisa Vianello is a human[1].