Rodion Novkin

Orcid: 0009-0006-6632-9804

According to our database1, Rodion Novkin authored at least 7 papers between 2020 and 2024.

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Bibliography

2024
Approximation- and Quantization-Aware Training for Graph Neural Networks.
IEEE Trans. Computers, February, 2024

Frontiers in Edge AI with RISC-V: Hyperdimensional Computing vs. Quantized Neural Networks.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024

2023
ML-TCAD: Perspectives and Challenges on Accelerating Transistor Modeling using ML.
Proceedings of the 5th ACM/IEEE Workshop on Machine Learning for CAD, 2023

Comprehensive Reliability Analysis of 22nm FDSOI SRAM from Device Physics to Deep Learning.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2023

2021
Bit Error Tolerance Metrics for Binarized Neural Networks.
CoRR, 2021

Margin-Maximization in Binarized Neural Networks for Optimizing Bit Error Tolerance.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

2020
Towards Explainable Bit Error Tolerance of Resistive RAM-Based Binarized Neural Networks.
CoRR, 2020


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