S. R. Nandakumar

1. Hardware-aware training for large-scale and diverse deep learning inference workloads using in-memory computing-based accelerators
   2023/02/16 by Malte J. Rasch, Rasch, Malte J., Charles Mackin +23 · 12 citations
   Computer Science · Engineering · #Advanced Memory and Neural Computing #Emerging Technologies (cs.ET) #FOS: Computer and information sciences #Ferroelectric and Negative Capacitance Devices #Machine Learning (cs.LG) #Stochastic Gradient Optimization Techniques
2. Supervised Learning in Spiking Neural Networks with Phase-Change Memory Synapses
   2019/05/28 by S. R. Nandakumar, Irem Boybat, Nandakumar, S. R. +9 · 2 citations
   Computer Science · Engineering · #Advanced Memory and Neural Computing #Emerging Technologies (cs.ET) #FOS: Computer and information sciences #Neural Networks and Applications #Neural Networks and Reservoir Computing #Neural and Evolutionary Computing (cs.NE)
3. AnalogNets: ML-HW Co-Design of Noise-robust TinyML Models and Always-On Analog Compute-in-Memory Accelerator
   2021/11/10 by Chuteng Zhou, Zhou, Chuteng, Fernando Garćıa-Redondo +17 · 2 citations
   Engineering · Computer Science · #Advanced Memory and Neural Computing #Neural Networks and Reservoir Computing #CCD and CMOS Imaging Sensors