Mikail Yayla

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 24

Top Topics

Error Tolerance

Margin Maximization

Frequency Domain Analysis

Top Venues

IEEE Trans. Circuits Syst. I Regul. Pap.

IEEE J. Emerg. Sel. Topics Circuits Syst.

Publications

Mikail Yayla, Simon Thomann, Md Mazharul Islam, Ming-Liang Wei, Shu-Yin Ho, Ahmedullah Aziz, Chia-Lin Yang, Jian-Jia Chen, Hussam Amrouch
Reliable Brain-inspired AI Accelerators using Classical and Emerging Memories. VTS (2023)
Mikail Yayla, Fabio Frustaci, Fanny Spagnolo, Jian-Jia Chen, Hussam Amrouch
Unlocking Efficiency in BNNs: Global by Local Thresholding for Analog-Based HW Accelerators. IEEE J. Emerg. Sel. Topics Circuits Syst. 13 (4) (2023)
Leonard David Bereholschi, Ching-Chi Lin, Mikail Yayla, Jian-Jia Chen
HEP-BNN: A Framework for Finding Low-Latency Execution Configurations of BNNs on Heterogeneous Multiprocessor Platforms. CoRR (2023)
Mikail Yayla, Cecilia Latotzke, Robert Huber, Somar Iskif, Tobias Gemmeke, Jian-Jia Chen
DAEBI: A Tool for Data Flow and Architecture Explorations of Binary Neural Network Accelerators. SAMOS (2023)
Mikail Yayla, Simon Thomann, Ming-Liang Wei, Chia-Lin Yang, Jian-Jia Chen, Hussam Amrouch
HW/SW Codesign for Robust and Efficient Binarized SNNs by Capacitor Minimization. CoRR (2023)
Ming-Liang Wei, Mikail Yayla, Shu-Yin Ho, Jian-Jia Chen, Hussam Amrouch, Chia-Lin Yang
Impact of Non-Volatile Memory Cells on Spiking Neural Network Annealing Machine With In-Situ Synapse Processing. IEEE Trans. Circuits Syst. I Regul. Pap. 70 (11) (2023)
Muhammad Sabih, Mikail Yayla, Frank Hannig, Jürgen Teich, Jian-Jia Chen
Robust and Tiny Binary Neural Networks using Gradient-based Explainability Methods. EuroMLSys@EuroSys (2023)
Abhilasha Dave, Fabio Frustaci, Fanny Spagnolo, Mikail Yayla, Jian-Jia Chen, Hussam Amrouch
HW/SW Codesign for Approximation-Aware Binary Neural Networks. IEEE J. Emerg. Sel. Topics Circuits Syst. 13 (1) (2023)
Vahidreza Moghaddas, Hammam Kattan, Tim Bücher, Mikail Yayla, Jian-Jia Chen, Hussam Amrouch
Temperature-Aware Memory Mapping and Active Cooling of Neural Processing Units. ISLPED (2023)
Mikail Yayla, Zahra Valipour Dehnoo, Mojtaba Masoudinejad, Jian-Jia Chen
TREAM: A Tool for Evaluating Error Resilience of Tree-Based Models Using Approximate Memory. SAMOS (2022)
Mikail Yayla, Sebastian Buschjäger, Aniket Gupta, Jian-Jia Chen, Jörg Henkel, Katharina Morik, Kuan-Hsun Chen, Hussam Amrouch
FeFET-Based Binarized Neural Networks Under Temperature-Dependent Bit Errors. IEEE Trans. Computers 71 (7) (2022)
Mikail Yayla, Simon Thomann, Sebastian Buschjäger, Katharina Morik, Jian-Jia Chen, Hussam Amrouch
Reliable Binarized Neural Networks on Unreliable Beyond Von-Neumann Architecture. IEEE Trans. Circuits Syst. I Regul. Pap. 69 (6) (2022)
Mikail Yayla, Jian-Jia Chen
Memory-efficient training of binarized neural networks on the edge. DAC (2022)
Ming-Liang Wei, Mikail Yayla, Shu-Yin Ho, Jian-Jia Chen, Chia-Lin Yang, Hussam Amrouch
Binarized SNNs: Efficient and Error-Resilient Spiking Neural Networks through Binarization. ICCAD (2021)
Sebastian Buschjäger, Jian-Jia Chen, Kuan-Hsun Chen, Mario Günzel, Katharina Morik, Rodion Novkin, Lukas Pfahler, Mikail Yayla
Bit Error Tolerance Metrics for Binarized Neural Networks. CoRR (2021)
Hussam Amrouch, Jian-Jia Chen, Kaushik Roy, Yuan Xie, Indranil Chakraborty, Wenqin Huangfu, Ling Liang, Fengbin Tu, Cheng Wang, Mikail Yayla
Brain-Inspired Computing: Adventure from Beyond CMOS Technologies to Beyond von Neumann Architectures ICCAD Special Session Paper. ICCAD (2021)
Mikail Yayla, Kuan-Hsun Chen, Georgios Zervakis, Jörg Henkel, Jian-Jia Chen, Hussam Amrouch
FeFET and NCFET for Future Neural Networks: Visions and Opportunities. DATE (2021)
Sebastian Buschjäger, Jian-Jia Chen, Kuan-Hsun Chen, Mario Günzel, Christian Hakert, Katharina Morik, Rodion Novkin, Lukas Pfahler, Mikail Yayla
Margin-Maximization in Binarized Neural Networks for Optimizing Bit Error Tolerance. DATE (2021)
Mikail Yayla, Mario Günzel, Burim Ramosaj, Jian-Jia Chen
Universal Approximation Theorems of Fully Connected Binarized Neural Networks. CoRR (2021)
Sebastian Buschjäger, Jian-Jia Chen, Kuan-Hsun Chen, Mario Günzel, Christian Hakert, Katharina Morik, Rodion Novkin, Lukas Pfahler, Mikail Yayla
Towards Explainable Bit Error Tolerance of Resistive RAM-Based Binarized Neural Networks. CoRR (2020)
Christian Hakert, Kuan-Hsun Chen, Mikail Yayla, Georg von der Brüggen, Sebastian Blömeke, Jian-Jia Chen
Software-Based Memory Analysis Environments for In-Memory Wear-Leveling. ASP-DAC (2020)
Mikail Yayla, Anas Toma, Kuan-Hsun Chen, Jan Eric Lenssen, Victoria Shpacovitch, Roland Hergenröder, Frank Weichert, Jian-Jia Chen
Nanoparticle Classification Using Frequency Domain Analysis on Resource-Limited Platforms. Sensors 19 (19) (2019)
Mikail Yayla, Anas Toma, Jan Eric Lenssen, Victoria Shpacovitch, Kuan-Hsun Chen, Frank Weichert, Jian-Jia Chen
Resource-Efficient Nanoparticle Classification Using Frequency Domain Analysis. Bildverarbeitung für die Medizin (2019)
Mikail Yayla, Kuan-Hsun Chen, Jian-Jia Chen
Fault Tolerance on Control Applications: Empirical Investigations of Impacts from Incorrect Calculations. EITEC@CPSWeek (2018)