Vivek Saraswat
Orcid: 0000-0001-9191-1632
According to our database1,
Vivek Saraswat
authored at least 26 papers
between 2018 and 2024.
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Bibliography
2024
System-level Impact of Non-Ideal Program-Time of Charge Trap Flash (CTF) on Deep Neural Network.
CoRR, 2024
Proceedings of the 6th IEEE International Conference on AI Circuits and Systems, 2024
2023
A temporally and spatially local spike-based backpropagation algorithm to enable training in hardware.
Neuromorph. Comput. Eng., September, 2023
Enhanced regularization for on-chip training using analog and temporary memory weights.
Neural Networks, August, 2023
CoRR, 2023
Schottky Barrier MOSFET Enabled Ultra-Low Power Real-Time Neuron for Neuromorphic Computing.
CoRR, 2023
ANN Inference enabled by Variability Mitigation using 2T-1R Bit Cell-based Design Space Analysis.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2023
Optimizing Throughput and Latency of Static 5G Multicast Networks using Boltzmann Machines.
Proceedings of the International Joint Conference on Neural Networks, 2023
Real-world Performance Estimation of Liquid State Machines for Spoken Digit Classification.
Proceedings of the International Joint Conference on Neural Networks, 2023
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2023, 2023
2022
Quantum Tunneling Based Ultra-Compact and Energy Efficient Spiking Neuron Enables Hardware SNN.
IEEE Trans. Circuits Syst. I Regul. Pap., 2022
Stochasticity invariance control in Pr<sub>1-x </sub>Ca<sub> x </sub>MnO<sub>3</sub> RRAM to enable large-scale stochastic recurrent neural networks.
Neuromorph. Comput. Eng., 2022
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022
2021
Exploiting the Electrothermal Timescale in PrMnO3 RRAM for a compact, clock-less neuron exhibiting biological spiking patterns.
CoRR, 2021
Simplified Klinokinesis using Spiking Neural Networks for Resource-Constrained Navigation on the Neuromorphic Processor Loihi.
CoRR, 2021
Hardware-Friendly Synaptic Orders and Timescales in Liquid State Machines for Speech Classification.
Proceedings of the International Joint Conference on Neural Networks, 2021
Simplified Klinokinesis using Spiking Neural Networks for Resource-Constrained Navigation on the N euromorphic Processor Loihi.
Proceedings of the International Joint Conference on Neural Networks, 2021
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021
2020
n-Oscillator Neural Network based Efficient Cost Function for n-city Traveling Salesman Problem.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020
Thermal Engineering of Volatile Switching in PrMnO3 RRAM: Non-Linearity in DC IV Characteristics and Transient Switching Speed.
Proceedings of the 2020 Device Research Conference, 2020
2019
Predicting Performance using Approximate State Space Model for Liquid State Machines.
Proceedings of the International Joint Conference on Neural Networks, 2019
Fundamental Limit on Network Size Scaling of Oscillatory Neural Networks due to PrMnO3 based Oscillator Phase Noise.
Proceedings of the Device Research Conference, 2019
2018
Anomalous Scaling of Response Time of Chemical Sensors with Concentration of Unstable Gases.
Proceedings of the 2018 IEEE SENSORS, New Delhi, India, October 28-31, 2018, 2018
A Compact PrMnO3 Based Oscillator as an Alternative to CMOS Ring Oscillator in a Smart Temperature Sensor.
Proceedings of the 2018 IEEE SENSORS, New Delhi, India, October 28-31, 2018, 2018