Tayfun Gokmen

1. Acceleration of Deep Neural Network Training with Resistive Cross-Point Devices: Design Considerations
   2016/03/23 by Tayfun Gokmen, Yurii A. Vlasov, Yurii Vlasov · 5 voices · 5 citations
   Engineering · Materials Science · #Advanced Memory and Neural Computing #Electronic and Structural Properties of Oxides #Ferroelectric and Negative Capacitance Devices #cs.LG #cs.NE #stat.ML
2. Towards Exact Gradient-based Training on Analog In-memory Computing
   2024/06/18 by Zhaoxian Wu, Tayfun Gokmen, Wu, Zhaoxian +5 · 2 citations
   Computer Science · Engineering · #Advanced Memory and Neural Computing #FOS: Computer and information sciences #FOS: Mathematics #Ferroelectric and Negative Capacitance Devices #Hardware Architecture (cs.AR) #Machine Learning (cs.LG) #Neural Networks and Applications #Optimization and Control (math.OC)
3. Analog In-memory Training on General Non-ideal Resistive Elements: The Impact of Response Functions
   2025/02/10 by Zhaoxian Wu, Wu, Zhaoxian, Xiao, Quan +6 · 2 citations
   Computer Science · Engineering · #Advanced Memory and Neural Computing #FOS: Computer and information sciences #FOS: Mathematics #Hardware Architecture (cs.AR) #Machine Learning (cs.LG) #Neural Networks and Applications #Optimization and Control (math.OC)
4. Optimization under Persistent State-Dependent Bias: Gradient-based Method and Complexity Analysis
   2026/07/28 by Zhaoxian Wu, Quan Xiao, Tayfun Gokmen +1
   #math.OC