Vivek Saraswat

Orcid: 0000-0001-9191-1632

According to our database1, Vivek Saraswat authored at least 25 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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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

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

Non-Ideal Program-Time Conservation in Charge Trap Flash for Deep Learning.
CoRR, 2023

Schottky Barrier MOSFET Enabled Ultra-Low Power Real-Time Neuron for Neuromorphic Computing.
CoRR, 2023

FeFET-based MirrorBit cell for High-density NVM storage.
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

Robustness to Variability and Asymmetry of In-Memory On-Chip Training.
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

Liquid State Machine on Loihi: Memory Metric for Performance Prediction.
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

Algorithm for 3D-Chemotaxis Using Spiking Neural Network.
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

Adaptive Chemotaxis for Improved Contour Tracking Using Spiking Neural Networks.
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


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