Sukru Burc Eryilmaz

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 9

Top Topics

Associative Learning

Training Sessions

Probabilistic Graphical Models

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Publications

Feiwen Zhu, Arkadiusz Nowaczynski, Rundong Li, Jie Xin, Yifei Song, Michal Marcinkiewicz, Sukru Burc Eryilmaz, Jun Yang, Michael Andersch
ScaleFold: Reducing AlphaFold Initial Training Time to 10 Hours. CoRR (2024)
Sukru Burc Eryilmaz, Aysegul Dundar
Understanding How Orthogonality of Parameters Improves Quantization of Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 34 (12) (2023)
Feiwen Zhu, Michal Futrega, Han Bao, Sukru Burc Eryilmaz, Fei Kong, Kefeng Duan, Xinnian Zheng, Nimrod Angel, Matthias Jouanneaux, Maxmilian Stadler, Michal Marcinkiewicz, Fung Xie, June Yang, Michael Andersch
FastDimeNet++: Training DimeNet++ in 22 minutes. ICPP (2023)
Weier Wan, Rajkumar Kubendran, Clemens J. S. Schaefer, Sukru Burc Eryilmaz, Wenqiang Zhang, Dabin Wu, Stephen R. Deiss, Priyanka Raina, He Qian, Bin Gao, Siddharth Joshi, Huaqiang Wu, H.-S. Philip Wong, Gert Cauwenberghs
A compute-in-memory chip based on resistive random-access memory. Nat. 608 (7923) (2022)
Weier Wan, Rajkumar Kubendran, Clemens J. S. Schaefer, Sukru Burc Eryilmaz, Wenqiang Zhang, Dabin Wu, Stephen R. Deiss, Priyanka Raina, He Qian, Bin Gao, Siddharth Joshi, Huaqiang Wu, H.-S. Philip Wong, Gert Cauwenberghs
Edge AI without Compromise: Efficient, Versatile and Accurate Neurocomputing in Resistive Random-Access Memory. CoRR (2021)
Weier Wan, Rajkumar Kubendran, Sukru Burc Eryilmaz, Wenqiang Zhang, Yan Liao, Dabin Wu, Stephen R. Deiss, Bin Gao, Priyanka Raina, Siddharth Joshi, Huaqiang Wu, Gert Cauwenberghs, H.-S. Philip Wong
33.1 A 74 TMACS/W CMOS-RRAM Neurosynaptic Core with Dynamically Reconfigurable Dataflow and In-situ Transposable Weights for Probabilistic Graphical Models. ISSCC (2020)
Jesse H. Engel, Sukru Burc Eryilmaz, SangBum Kim, Matthew BrightSky, Chung Lam, Hsiang-Lan Lung, Bruno A. Olshausen, H.-S. Philip Wong
Opportunities for Analog Coding in Emerging Memory Systems. CoRR (2017)
Sukru Burc Eryilmaz, Emre Neftci, Siddharth Joshi, SangBum Kim, Matthew BrightSky, Hsiang-Lan Lung, Chung Lam, Gert Cauwenberghs, H.-S. Philip Wong
Training a Probabilistic Graphical Model with Resistive Switching Electronic Synapses. CoRR (2016)
Sukru Burc Eryilmaz, Siddharth Joshi, Emre Neftci, Weier Wan, Gert Cauwenberghs, H.-S. Philip Wong
Neuromorphic architectures with electronic synapses. ISQED (2016)
Sukru Burc Eryilmaz, Duygu Kuzum, Shimeng Yu, H.-S. Philip Wong
Device and System Level Design Considerations for Analog-Non-Volatile-Memory Based Neuromorphic Architectures. CoRR (2015)
Sukru Burc Eryilmaz, Duygu Kuzum, Rakesh Gnana David Jeyasingh, SangBum Kim, Matthew BrightSky, Chung Lam, H.-S. Philip Wong
Experimental Demonstration of Array-level Learning with Phase Change Synaptic Devices. CoRR (2014)
Sercan Ö. Arik, Sukru Burc Eryilmaz, Adam Goldberg
Supervised classification-based stock prediction and portfolio optimization. CoRR (2014)
Sukru Burc Eryilmaz, Duygu Kuzum, Rakesh Gnana David Jeyasingh, SangBum Kim, Matthew BrightSky, Chung Lam, H.-S. Philip Wong
Brain-like associative learning using a nanoscale non-volatile phase change synaptic device array. CoRR (2014)