Rodion Novkin

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

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Approximation- and Quantization-Aware Training for Graph Neural Networks.

Rodion Novkin, Florian Klemme, Hussam Amrouch

IEEE Trans. Computers, February, 2024

Frontiers in Edge AI with RISC-V: Hyperdimensional Computing vs. Quantized Neural Networks.

Paul R. Genssler, Sandy A. Wasif, Miran Wael, Rodion Novkin, Hussam Amrouch

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024

2023

ML-TCAD: Perspectives and Challenges on Accelerating Transistor Modeling using ML.

Rodion Novkin, Simon Thomann, Hussam Amrouch

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.

Om Prakash, Rodion Novkin, Virinchi Roy Surabhi, Prashanth Krishnamurthy, Ramesh Karri, Farshad Khorrami, Hussam Amrouch

Proceedings of the IEEE International Symposium on Circuits and Systems, 2023

2021

Bit Error Tolerance Metrics for Binarized Neural Networks.

Sebastian Buschjäger, Jian-Jia Chen, Kuan-Hsun Chen, Mario Günzel, Katharina Morik, Rodion Novkin, Lukas Pfahler, Mikail Yayla

CoRR, 2021

Margin-Maximization in Binarized Neural Networks for Optimizing Bit Error Tolerance.

Sebastian Buschjäger, Jian-Jia Chen, Kuan-Hsun Chen, Mario Günzel, Christian Hakert, Katharina Morik, Rodion Novkin, Lukas Pfahler, Mikail Yayla

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

2020

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

Sebastian Buschjäger, Jian-Jia Chen, Kuan-Hsun Chen, Mario Günzel, Christian Hakert, Katharina Morik, Rodion Novkin, Lukas Pfahler, Mikail Yayla

CoRR, 2020