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Mikail Yayla

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

9

Venues

7

Active years

2020–2023

Best venue rank

A*

Where they publish

Papers

9 indexed papers, newest first.

YearVenueTitleAuthors
2023EuroSysRobust and Tiny Binary Neural Networks using Gradient-based Explainability Methods.Muhammad Sabih, Mikail Yayla, Frank Hannig, Jrgen Teich, Jian-Jia Chen
2023ISLPEDTemperature-Aware Memory Mapping and Active Cooling of Neural Processing Units.Vahidreza Moghaddas, Hammam Kattan, Tim Bcher, Mikail Yayla, Jian-Jia Chen, Hussam Amrouch
2023VTSReliable 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
2022DACMemory-efficient training of binarized neural networks on the edge.Mikail Yayla, Jian-Jia Chen
2021DATEMargin-Maximization in Binarized Neural Networks for Optimizing Bit Error Tolerance.Sebastian Buschjger, Jian-Jia Chen, Kuan-Hsun Chen, Mario Gnzel, Christian Hakert, Katharina Morik, Rodion Novkin, Lukas Pfahler, Mikail Yayla
2021DATEFeFET and NCFET for Future Neural Networks: Visions and Opportunities.Mikail Yayla, Kuan-Hsun Chen, Georgios Zervakis, Jrg Henkel, Jian-Jia Chen, Hussam Amrouch
2021ICCADBrain-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
2021ICCADBinarized 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
2020ASPDACSoftware-Based Memory Analysis Environments for In-Memory Wear-Leveling.Christian Hakert, Kuan-Hsun Chen, Mikail Yayla, Georg von der Brggen, Sebastian Blmeke, Jian-Jia Chen