Mikail Yayla

According to our database, Mikail Yayla authored at least 26 papers between 2018 and 2024.

Collaborative distances:

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

2024

EdgeVision SoC: PPA-Impact of RTL-level Modifications.

Mikail Yayla, Clifford Leon Dmello, Georg Ellguth, Uwe Steeb, Tim Leuchter, Marcus Pietzsch, Holger Eisenreich

Proceedings of the 37th IEEE International System-on-Chip Conference, 2024

2023

Unlocking Efficiency in BNNs: Global by Local Thresholding for Analog-Based HW Accelerators.

Mikail Yayla, Fabio Frustaci, Fanny Spagnolo, Jian-Jia Chen, Hussam Amrouch

IEEE J. Emerg. Sel. Topics Circuits Syst., December, 2023

Impact of Non-Volatile Memory Cells on Spiking Neural Network Annealing Machine With In-Situ Synapse Processing.

Ming-Liang Wei, Mikail Yayla, Shu-Yin Ho, Jian-Jia Chen, Hussam Amrouch, Chia-Lin Yang

IEEE Trans. Circuits Syst. I Regul. Pap., November, 2023

HW/SW Codesign for Approximation-Aware Binary Neural Networks.

Abhilasha Dave, Fabio Frustaci, Fanny Spagnolo, Mikail Yayla, Jian-Jia Chen, Hussam Amrouch

IEEE J. Emerg. Sel. Topics Circuits Syst., March, 2023

HW/SW Codesign for Robust and Efficient Binarized SNNs by Capacitor Minimization.

Mikail Yayla, Simon Thomann, Ming-Liang Wei, Chia-Lin Yang, Jian-Jia Chen, Hussam Amrouch

CoRR, 2023

HEP-BNN: A Framework for Finding Low-Latency Execution Configurations of BNNs on Heterogeneous Multiprocessor Platforms.

Leonard David Bereholschi, Ching-Chi Lin, Mikail Yayla, Jian-Jia Chen

CoRR, 2023

Reliable Brain-inspired AI Accelerators using Classical and Emerging Memories.

Mikail Yayla, Simon Thomann, Md. Mazharul Islam, Ming-Liang Wei, Shu-Yin Ho, Ahmedullah Aziz, Chia-Lin Yang, Jian-Jia Chen, Hussam Amrouch

Proceedings of the 41st IEEE VLSI Test Symposium, 2023

DAEBI: A Tool for Data Flow and Architecture Explorations of Binary Neural Network Accelerators.

Mikail Yayla, Cecilia Latotzke, Robert Huber, Somar Iskif, Tobias Gemmeke, Jian-Jia Chen

Proceedings of the Embedded Computer Systems: Architectures, Modeling, and Simulation, 2023

Temperature-Aware Memory Mapping and Active Cooling of Neural Processing Units.

Vahidreza Moghaddas, Hammam Kattan, Tim Bücher, Mikail Yayla, Jian-Jia Chen, Hussam Amrouch

Proceedings of the IEEE/ACM International Symposium on Low Power Electronics and Design, 2023

Robust and Tiny Binary Neural Networks using Gradient-based Explainability Methods.

Muhammad Sabih, Mikail Yayla, Frank Hannig, Jürgen Teich, Jian-Jia Chen

Proceedings of the 3rd Workshop on Machine Learning and Systems, 2023

2022

Reliable Binarized Neural Networks on Unreliable Beyond Von-Neumann Architecture.

Mikail Yayla, Simon Thomann, Sebastian Buschjäger, Katharina Morik, Jian-Jia Chen, Hussam Amrouch

IEEE Trans. Circuits Syst. I Regul. Pap., 2022

FeFET-Based Binarized Neural Networks Under Temperature-Dependent Bit Errors.

Mikail Yayla, Sebastian Buschjäger, Aniket Gupta, Jian-Jia Chen, Jörg Henkel, Katharina Morik, Kuan-Hsun Chen, Hussam Amrouch

IEEE Trans. Computers, 2022

TREAM: A Tool for Evaluating Error Resilience of Tree-Based Models Using Approximate Memory.

Mikail Yayla, Zahra Valipour Dehnoo, Mojtaba Masoudinejad, Jian-Jia Chen

Proceedings of the Embedded Computer Systems: Architectures, Modeling, and Simulation, 2022

Memory-efficient training of binarized neural networks on the edge.

Mikail Yayla, Jian-Jia Chen

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

Machine Learning Based on Emerging Memories.

Mikail Yayla, Sebastian Buschjäger, Hussam Amrouch

Proceedings of the Machine Learning under Resource Constraints - Volume 1: Fundamentals, 2022

2021

Universal Approximation Theorems of Fully Connected Binarized Neural Networks.

Mikail Yayla, Mario Günzel, Burim Ramosaj, Jian-Jia Chen

CoRR, 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

Binarized SNNs: Efficient and Error-Resilient Spiking Neural Networks through Binarization.

Ming-Liang Wei, Mikail Yayla, Shu-Yin Ho, Jian-Jia Chen, Chia-Lin Yang, Hussam Amrouch

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021

Brain-Inspired Computing: Adventure from Beyond CMOS Technologies to Beyond von Neumann Architectures ICCAD Special Session Paper.

Hussam Amrouch, Jian-Jia Chen, Kaushik Roy, Yuan Xie, Indranil Chakraborty, Wenqin Huangfu, Ling Liang, Fengbin Tu, Cheng Wang, Mikail Yayla

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021

FeFET and NCFET for Future Neural Networks: Visions and Opportunities.

Mikail Yayla, Kuan-Hsun Chen, Georgios Zervakis, Jörg Henkel, Jian-Jia Chen, Hussam Amrouch

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

Software-Based Memory Analysis Environments for In-Memory Wear-Leveling.

Christian Hakert, Kuan-Hsun Chen, Mikail Yayla, Georg von der Brüggen, Sebastian Blömeke, Jian-Jia Chen

Proceedings of the 25th Asia and South Pacific Design Automation Conference, 2020

2019

Nanoparticle Classification Using Frequency Domain Analysis on Resource-Limited Platforms.

Mikail Yayla, Anas Toma, Kuan-Hsun Chen, Jan Eric Lenssen, Victoria Shpacovitch, Roland Hergenröder, Frank Weichert, Jian-Jia Chen

Sensors, 2019

Resource-Efficient Nanoparticle Classification Using Frequency Domain Analysis.

Mikail Yayla, Anas Toma, Jan Eric Lenssen, Victoria Shpacovitch, Kuan-Hsun Chen, Frank Weichert, Jian-Jia Chen

Proceedings of the Bildverarbeitung für die Medizin 2019 - Algorithmen - Systeme, 2019

2018

Fault Tolerance on Control Applications: Empirical Investigations of Impacts from Incorrect Calculations.

Mikail Yayla, Kuan-Hsun Chen, Jian-Jia Chen

Proceedings of the 4th International Workshop on Emerging Ideas and Trends in the Engineering of Cyber-Physical Systems, 2018