Vasilis Sakellariou

Orcid: 0000-0002-2581-3193

According to our database¹, Vasilis Sakellariou authored at least 10 papers between 2021 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Book In proceedings Article PhD thesis Dataset Other

Links

On csauthors.net:

Bibliography

2026

A 22-nm 4.92 TOPS/W End-to-End RNS DNN Accelerator for Edge-AI Devices.

[BibT_eX]

[DOI]

IEEE Trans. Emerg. Top. Comput., 2026

2025

A Survey and Comparative Analysis of Number Systems for Deep Neural Networks.

[BibT_eX]

[DOI]

Proc. IEEE, February, 2025

A Mixed-Precision RNS DNN Accelerator.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Circuits and Systems, 2025

2024

An end-to-end RNS CNN Accelerator.

[BibT_eX]

[DOI]

Proceedings of the 6th IEEE International Conference on AI Circuits and Systems, 2024

2023

Number Systems for Deep Neural Network Architectures: A Survey.

[BibT_eX]

[DOI]

Ghada Alsuhli

Vasileios Sakellariou

CoRR, 2023

A multiplier-Free RNS-Based CNN accelerator exploiting bit-Level sparsity.

[BibT_eX]

[DOI]

Proceedings of the 30th IEEE Symposium on Computer Arithmetic, 2023

Improving Residue-Level Sparsity in RNS-based Neural Network Hardware Accelerators via Regularization.

[BibT_eX]

[DOI]

Emmanouil Kavvousanos

Proceedings of the 30th IEEE Symposium on Computer Arithmetic, 2023

2022

A High-performance RNS LSTM block.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

2021

An FPGA Accelerator for Spiking Neural Network Simulation and Training.

[BibT_eX]

[DOI]

Vasilis Sakellariou

Vassilis Paliouras

Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

On Reducing the Number of Multiplications in RNS-based CNN Accelerators.

[BibT_eX]

[DOI]

Proceedings of the 28th IEEE International Conference on Electronics, 2021

Vasilis Sakellariou

Timeline

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On csauthors.net:

Bibliography

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