Mikail Yayla
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Margin-maximization in binarized neural networks for optimizing bit error tolerance
S Buschjäger, JJ Chen, KH Chen, M Günzel, C Hakert, K Morik, R Novkin, ...
2021 Design, Automation & Test in Europe Conference & Exhibition (DATE), 673-678, 2021
Fefet-based binarized neural networks under temperature-dependent bit errors
M Yayla, S Buschjäger, A Gupta, JJ Chen, J Henkel, K Morik, KH Chen, ...
IEEE Transactions on Computers 71 (7), 1681-1695, 2021
Software-based memory analysis environments for in-memory wear-leveling
C Hakert, KH Chen, M Yayla, G von der Brüggen, S Bloemeke, JJ Chen
2020 25th Asia and South Pacific Design Automation Conference (ASP-DAC), 651-658, 2020
Nanoparticle classification using frequency domain analysis on resource-limited platforms
M Yayla, A Toma, KH Chen, JE Lenssen, V Shpacovitch, R Hergenröder, ...
Sensors 19 (19), 4138, 2019
Fault tolerance on control applications: empirical investigations of impacts from incorrect calculations
M Yayla, KH Chen, JJ Chen
2018 4th International Workshop on Emerging Ideas and Trends in the …, 2018
Memory-efficient training of binarized neural networks on the edge
M Yayla, JJ Chen
Proceedings of the 59th ACM/IEEE Design Automation Conference, 661-666, 2022
Reliable binarized neural networks on unreliable beyond von-neumann architecture
M Yayla, S Thomann, S Buschjäger, K Morik, JJ Chen, H Amrouch
IEEE Transactions on Circuits and Systems I: Regular Papers 69 (6), 2516-2528, 2022
Binarized snns: Efficient and error-resilient spiking neural networks through binarization
ML Wei, M Yayla, SY Ho, JJ Chen, CL Yang, H Amrouch
2021 IEEE/ACM International Conference On Computer Aided Design (ICCAD), 1-9, 2021
Towards explainable bit error tolerance of resistive ram-based binarized neural networks
S Buschjäger, JJ Chen, KH Chen, M Günzel, C Hakert, K Morik, R Novkin, ...
arXiv preprint arXiv:2002.00909, 2020
TREAM: A Tool for Evaluating Error Resilience of Tree-Based Models Using Approximate Memory
M Yayla, Z Valipour Dehnoo, M Masoudinejad, JJ Chen
International Conference on Embedded Computer Systems, 61-73, 2022
Bit error tolerance metrics for binarized neural networks
S Buschjäger, JJ Chen, KH Chen, M Günzel, K Morik, R Novkin, L Pfahler, ...
arXiv preprint arXiv:2102.01344, 2021
Resource-Efficient Nanoparticle Classification Using Frequency Domain Analysis
M Yayla, A Toma, JE Lenssen, V Shpacovitch, KH Chen, F Weichert, ...
Bildverarbeitung für die Medizin 2019: Algorithmen–Systeme–Anwendungen …, 2019
Brain-Inspired Computing: Adventure from Beyond CMOS Technologies to Beyond von Neumann Architectures ICCAD Special Session Paper
H Amrouch, JJ Chen, K Roy, Y Xie, I Chakraborty, W Huangfu, L Liang, ...
2021 IEEE/ACM International Conference On Computer Aided Design (ICCAD), 1-9, 2021
Universal Approximation Theorems of Fully Connected Binarized Neural Networks
M Yayla, M Günzel, B Ramosaj, JJ Chen
arXiv preprint arXiv:2102.02631, 2021
Stack usage analysis for efficient wear leveling in non-volatile main memory systems
C Hakert, M Yayla, KH Chen, G von der Brüggen, JJ Chen, S Buschjäger, ...
2019 ACM/IEEE 1st Workshop on Machine Learning for CAD (MLCAD), 1-6, 2019
Robust and Tiny Binary Neural Networks using Gradient-based Explainability Methods
M Sabih, M Yayla, F Hannig, J Teich, JJ Chen
Proceedings of the 3rd Workshop on Machine Learning and Systems, 87-93, 2023
Reliable Brain-inspired AI Accelerators using Classical and Emerging Memories
M Yayla, S Thomann, MM Islam, ML Wei, SY Ho, A Aziz, CL Yang, ...
2023 IEEE 41st VLSI Test Symposium (VTS), 1-10, 2023
HW/SW Codesign for Approximation-Aware Binary Neural Networks
A Dave, F Frustaci, F Spagnolo, M Yayla, JJ Chen, H Amrouch
IEEE Journal on Emerging and Selected Topics in Circuits and Systems 13 (1 …, 2023
HEP-BNN: A Framework for Finding Low-Latency Execution Configurations of BNNs on Heterogeneous Multiprocessor Platforms
LD Bereholschi, CC Lin, M Yayla, JJ Chen
arXiv preprint arXiv:2301.05126, 2023
Temperature-Aware Memory Mapping and Active Cooling of Neural Processing Units
V Moghaddas, H Kattan, T Buecher, M Yayla, JJ Chen, H Amrouch
IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED'23), 2023
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