Mikail Yayla - RankMe

29 papers A* 1A 5Misc 1Journal 13Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	MCEL: Margin-Based Cross-Entropy Loss for Error-Tolerant Quantized Neural Networks. CoRR Mikail Yayla, Akash Kumar
2025	J	`jnl`	Capacitor Minimization in Analog Synapses for Efficient and Compact Binarized SNNs. IEEE Trans. Circuits Syst. Artif. Intell. Mikail Yayla, Ming-Liang Wei, Simon Thomann, Albi Mema, Chia-Lin Yang, Jian-Jia Chen, Hussam Amrouch
2024	—	`conf`	EdgeVision SoC: PPA-Impact of RTL-level Modifications. SOCC Mikail Yayla, Clifford Leon Dmello, Georg Ellguth, Uwe Steeb, Tim Leuchter, Marcus Pietzsch, Holger Eisenreich
2024	—	`conf`	Evaluating the Impact of Racetrack Memory Misalignment Faults on BNNs Performance. SAMOS Leonard David Bereholschi, Mikail Yayla, Jian-Jia Chen, Kuan-Hsun Chen, Asif Ali Khan
2023	—	`conf`	DAEBI: A Tool for Data Flow and Architecture Explorations of Binary Neural Network Accelerators. SAMOS Mikail Yayla, Cecilia Latotzke, Robert Huber, Somar Iskif, Tobias Gemmeke, Jian-Jia Chen
2023	J	`jnl`	HEP-BNN: A Framework for Finding Low-Latency Execution Configurations of BNNs on Heterogeneous Multiprocessor Platforms. CoRR Leonard David Bereholschi, Ching-Chi Lin, Mikail Yayla, Jian-Jia Chen
2023	J	`jnl`	HW/SW Codesign for Approximation-Aware Binary Neural Networks. IEEE J. Emerg. Sel. Topics Circuits Syst. Abhilasha Dave, Fabio Frustaci, Fanny Spagnolo, Mikail Yayla, Jian-Jia Chen, Hussam Amrouch
2023	J	`jnl`	HW/SW Codesign for Robust and Efficient Binarized SNNs by Capacitor Minimization. CoRR Mikail Yayla, Simon Thomann, Ming-Liang Wei, Chia-Lin Yang, Jian-Jia Chen, Hussam Amrouch
2023	J	`jnl`	Impact of Non-Volatile Memory Cells on Spiking Neural Network Annealing Machine With In-Situ Synapse Processing. IEEE Trans. Circuits Syst. I Regul. Pap. Ming-Liang Wei, Mikail Yayla, Shu-Yin Ho, Jian-Jia Chen, Hussam Amrouch, Chia-Lin Yang
2023	Misc	`conf`	Reliable Brain-inspired AI Accelerators using Classical and Emerging Memories. VTS Mikail Yayla, Simon Thomann, Md. Mazharul Islam, Ming-Liang Wei, Shu-Yin Ho, Ahmedullah Aziz, Chia-Lin Yang, Jian-Jia Chen, Hussam Amrouch
2023	—	`conf`	Robust and Tiny Binary Neural Networks using Gradient-based Explainability Methods. EuroMLSys@EuroSys Muhammad Sabih, Mikail Yayla, Frank Hannig, Jürgen Teich, Jian-Jia Chen
2023	A	`conf`	Temperature-Aware Memory Mapping and Active Cooling of Neural Processing Units. ISLPED Vahidreza Moghaddas, Hammam Kattan, Tim Bücher, Mikail Yayla, Jian-Jia Chen, Hussam Amrouch
2023	J	`jnl`	Unlocking Efficiency in BNNs: Global by Local Thresholding for Analog-Based HW Accelerators. IEEE J. Emerg. Sel. Topics Circuits Syst. Mikail Yayla, Fabio Frustaci, Fanny Spagnolo, Jian-Jia Chen, Hussam Amrouch
2022	J	`jnl`	FeFET-Based Binarized Neural Networks Under Temperature-Dependent Bit Errors. IEEE Trans. Computers Mikail Yayla, Sebastian Buschjäger, Aniket Gupta, Jian-Jia Chen, Jörg Henkel, Katharina Morik, Kuan-Hsun Chen, Hussam Amrouch
2022	—	`ch.`	Machine Learning Based on Emerging Memories. Mach. Learn. under Resour. Constraints Vol. 1 (1) Mikail Yayla, Sebastian Buschjäger, Hussam Amrouch
2022	A*	`conf`	Memory-efficient training of binarized neural networks on the edge. DAC Mikail Yayla, Jian-Jia Chen
2022	J	`jnl`	Reliable Binarized Neural Networks on Unreliable Beyond Von-Neumann Architecture. IEEE Trans. Circuits Syst. I Regul. Pap. Mikail Yayla, Simon Thomann, Sebastian Buschjäger, Katharina Morik, Jian-Jia Chen, Hussam Amrouch
2022	—	`conf`	TREAM: A Tool for Evaluating Error Resilience of Tree-Based Models Using Approximate Memory. SAMOS Mikail Yayla, Zahra Valipour Dehnoo, Mojtaba Masoudinejad, Jian-Jia Chen
2021	A	`conf`	Binarized SNNs: Efficient and Error-Resilient Spiking Neural Networks through Binarization. ICCAD Ming-Liang Wei, Mikail Yayla, Shu-Yin Ho, Jian-Jia Chen, Chia-Lin Yang, Hussam Amrouch
2021	J	`jnl`	Bit Error Tolerance Metrics for Binarized Neural Networks. CoRR Sebastian Buschjäger, Jian-Jia Chen, Kuan-Hsun Chen, Mario Günzel, Katharina Morik, Rodion Novkin, Lukas Pfahler, Mikail Yayla
2021	A	`conf`	Brain-Inspired Computing: Adventure from Beyond CMOS Technologies to Beyond von Neumann Architectures ICCAD Special Session Paper. ICCAD Hussam Amrouch, Jian-Jia Chen, Kaushik Roy, Yuan Xie, Indranil Chakraborty, Wenqin Huangfu, Ling Liang, Fengbin Tu, Cheng Wang, Mikail Yayla
2021	A	`conf`	FeFET and NCFET for Future Neural Networks: Visions and Opportunities. DATE Mikail Yayla, Kuan-Hsun Chen, Georgios Zervakis, Jörg Henkel, Jian-Jia Chen, Hussam Amrouch
2021	A	`conf`	Margin-Maximization in Binarized Neural Networks for Optimizing Bit Error Tolerance. DATE Sebastian Buschjäger, Jian-Jia Chen, Kuan-Hsun Chen, Mario Günzel, Christian Hakert, Katharina Morik, Rodion Novkin, Lukas Pfahler, Mikail Yayla
2021	J	`jnl`	Universal Approximation Theorems of Fully Connected Binarized Neural Networks. CoRR Mikail Yayla, Mario Günzel, Burim Ramosaj, Jian-Jia Chen
2020	—	`conf`	Software-Based Memory Analysis Environments for In-Memory Wear-Leveling. ASP-DAC Christian Hakert, Kuan-Hsun Chen, Mikail Yayla, Georg von der Brüggen, Sebastian Blömeke, Jian-Jia Chen
2020	J	`jnl`	Towards Explainable Bit Error Tolerance of Resistive RAM-Based Binarized Neural Networks. CoRR Sebastian Buschjäger, Jian-Jia Chen, Kuan-Hsun Chen, Mario Günzel, Christian Hakert, Katharina Morik, Rodion Novkin, Lukas Pfahler, Mikail Yayla
2019	J	`jnl`	Nanoparticle Classification Using Frequency Domain Analysis on Resource-Limited Platforms. Sensors Mikail Yayla, Anas Toma, Kuan-Hsun Chen, Jan Eric Lenssen, Victoria Shpacovitch, Roland Hergenröder, Frank Weichert, Jian-Jia Chen
2019	—	`conf`	Resource-Efficient Nanoparticle Classification Using Frequency Domain Analysis. Bildverarbeitung für die Medizin Mikail Yayla, Anas Toma, Jan Eric Lenssen, Victoria Shpacovitch, Kuan-Hsun Chen, Frank Weichert, Jian-Jia Chen
2018	—	`conf`	Fault Tolerance on Control Applications: Empirical Investigations of Impacts from Incorrect Calculations. EITEC@CPSWeek Mikail Yayla, Kuan-Hsun Chen, Jian-Jia Chen