Theofilos Spyrou
Post-doctoral researcher | Sorbonne Université, CNRS, LIP6
100%
Libre accès
7
Documents
Affiliations actuelles
- 541710
Identifiants chercheurs
- theofilos-spyrou
- Google Scholar : https://scholar.google.fr/citations?user=gtYCYO4AAAAJ
- IdRef : 270694773
Publications
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Compact Functional Testing for Neuromorphic Computing CircuitsIEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2023, 42 (7), pp.2391 - 2403. ⟨10.1109/TCAD.2022.3223843⟩
Article dans une revue
hal-03859719v1
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On-Line Testing of Neuromorphic Hardware2023 IEEE European Test Symposium (ETS), May 2023, Venise, Italy. pp.1-6, ⟨10.1109/ETS56758.2023.10174077⟩
Communication dans un congrès
hal-04060634v1
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Testing and Reliability of Spiking Neural Networks: A Review of the State-of-the-Art36th IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT 2023), Oct 2023, Juan-Les-Pins, France
Communication dans un congrès
hal-04176109v1
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Reliability Analysis of a Spiking Neural Network Hardware AcceleratorDesign, Automation and Test in Europe Conference (DATE), Mar 2022, Antwerp, Belgium. pp.370-375, ⟨10.23919/DATE54114.2022.9774711⟩
Communication dans un congrès
hal-03501968v1
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Neuron Fault Tolerance in Spiking Neural Networks2021 Design, Automation & Test in Europe Conference & Exhibition (DATE), Feb 2021, Grenoble (virtuel), France. pp.743-748, ⟨10.23919/DATE51398.2021.9474081⟩
Communication dans un congrès
hal-03036630v1
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Spiking Neuron Hardware-Level Fault Modeling26th IEEE International Symposium on On-Line Testing and Robust System Design, Jul 2020, Naples, Italy. ⟨10.1109/IOLTS50870.2020.9159745⟩
Communication dans un congrès
hal-02873418v1
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Functional safety and reliability of neuromorphic computing systemsArtificial Intelligence [cs.AI]. Sorbonne Université, 2023. English. ⟨NNT : 2023SORUS118⟩
Thèse
tel-04133095v2
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