Udayan Ganguly
Orcid: 0000-0002-1498-5993
According to our database1,
Udayan Ganguly
authored at least 52 papers
between 2015 and 2024.
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Bibliography
2024
Neuromorph. Comput. Eng., March, 2024
System-level Impact of Non-Ideal Program-Time of Charge Trap Flash (CTF) on Deep Neural Network.
CoRR, 2024
2023
A Compact and Ultra-Low-Power Low-Pass Filter Based on Band-to-Band Tunneling Effect.
IEEE Trans. Circuits Syst. II Express Briefs, September, 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
Ferroelectric MirrorBit-Integrated Field-Programmable Memory Array for TCAM, Storage, and In-Memory Computing Applications.
CoRR, 2023
Process Voltage Temperature Variability Estimation of Tunneling Current for Band-to-Band-Tunneling based Neuron.
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
E-STDP: A Spatio-Temporally Local Unsupervised Learning Rule for Sparse Coded Spiking Convolutional Autoencoders.
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
MAdapter: A Multimodal Adapter for Liquid State Machines configures the Input Layer for the same Reservoir to enable Vision and Speech 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
Indigenous Fab-Lab Hybrid Device Integration for Phase Change Memory for In-Memory Computing.
Proceedings of the VLSI Design and Test - 26th International Symposium, 2022
Disrupting Low-Write-Energy vs. Fast-Read Dilemma in RRAM to Enable L1 Instruction Cache.
Proceedings of the VLSI Design and Test - 26th International Symposium, 2022
Spiking-GAN: A Spiking Generative Adversarial Network Using Time-To-First-Spike Coding.
Proceedings of the International Joint Conference on Neural Networks, 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
Temperature Dependence of Volatile Current shoot-up in PrMnO3 based Selector-less RRAM.
CoRR, 2020
Circuit Cost Reduction for Online STDP using NIPIN Selector as Timekeeping Device in RRAM Synapse.
Proceedings of the IEEE International Symposium on Circuits and Systems, 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
Software-Level Accuracy Using Stochastic Computing With Charge-Trap-Flash Based Weight Matrix.
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
Ultra-low Energy charge trap flash based synapse enabled by parasitic leakage mitigation.
CoRR, 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
An On-Chip Trainable and the Clock-Less Spiking Neural Network With 1R Memristive Synapses.
IEEE Trans. Biomed. Circuits Syst., 2018
Stochastic learning in deep neural networks based on nanoscale PCMO device characteristics.
Neurocomputing, 2018
Proceedings of the Non-Volatile Memory Technology Symposium, 2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 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
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018
An Ultra Energy Efficient Neuron enabled by Tunneling in Sub-threshold Regime on a Highly Manufacturable 32 nm SOI CMOS Technology.
Proceedings of the 76th Device Research Conference, 2018
2017
A Real-time Trainable and Clock-less Spiking Neural Network with 1R Memristive Synapses.
CoRR, 2017
Array programming scheme to enable improved transient based non-linearity in impact ionization based Si-NIPIN selectors for low power.
Proceedings of the 17th Non-Volatile Memory Technology Symposium, 2017
A software-equivalent SNN hardware using RRAM-array for asynchronous real-time learning.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
2016
CoRR, 2016
A simple and efficient SNN and its performance & robustness evaluation method to enable hardware implementation.
CoRR, 2016
2015
A selectorless RRAM with record memory window and nonlinearity based on trap filled limit mechanism.
Proceedings of the 15th Non-Volatile Memory Technology Symposium, 2015