Udayan Ganguly

Orcid: 0000-0002-1498-5993

According to our database1, Udayan Ganguly authored at least 60 papers between 2015 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Editorial: Focus on Neuromorphic Circuits and Systems using Emerging Devices.
Neuromorph. Comput. Eng., March, 2024

System-level Impact of Non-Ideal Program-Time of Charge Trap Flash (CTF) on Deep Neural Network.
CoRR, 2024

A sub-100 nW Power, Compact CTDSM with a Band-To-Band Tunnelling Loop Filter.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2024

A Compact 140nW/input Winner-Take-All Circuit for Spiking Neural Networks.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2024

A Compact Low Power Multi-mode Spiking Neuron using Band to Band Tunneling.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2024

Novel SRAM based Temporary Memory for PVT Variation Tolerant Analog In-Memory Computing.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2024

QFALT: Quantization and Fault Aware Loss for Training Enables Performance Recovery with Unreliable Weights.
Proceedings of the International Joint Conference on Neural Networks, 2024

Ultra Low-Cost Epi-Gd2O3 MOSFET Based Novel 1T Frequency Detector.
Proceedings of the Device Research Conference, 2024

Device-Aware Quantization in Resistive Random Access Memory-Based Crossbar Arrays to Account for Device Non-Idealities.
Proceedings of the Device Research Conference, 2024

Resistive Processing Unit-based On-chip ANN Training with Digital Memory.
Proceedings of the 6th IEEE International Conference on AI Circuits and Systems, 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

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

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

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

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

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

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
India's Rise in Nanoelectronics Research.
CoRR, 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

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
Band-to-Band Tunneling based Ultra-Energy Efficient Silicon Neuron.
CoRR, 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

Transient Joule Heating in PrMnO3 RRAM enables ReLU type Neuron.
Proceedings of the Non-Volatile Memory Technology Symposium, 2018

A case for multiple and parallel RRAMs as synaptic model for training SNNs.
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

Design of Spiking Rate Coded Logic Gates for C. elegans Inspired Contour Tracking.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

Sparsity Enables Data and Energy Efficient Spiking Convolutional Neural Networks.
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
Enhanced Circuit Densities in Epitaxially Defined FinFETs (EDFinFETs) over FinFETs.
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


  Loading...