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ORCIDUdayan Ganguly
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2020 – today
- 2024
[j8]Chetan Singh Thakur, Udayan Ganguly:
Editorial: Focus on Neuromorphic Circuits and Systems using Emerging Devices. Neuromorph. Comput. Eng. 4(1): 10201 (2024)- [c40]Shreyas Deshmukh
, Shubham Patil, Anmol Biswas, Vivek Saraswat, Abhishek Kadam, Ajay Kumar Singh, Laxmeesha Somappa, Maryam Shojaei Baghini, Udayan Ganguly:
Resistive Processing Unit-based On-chip ANN Training with Digital Memory. AICAS 2024: 462-466 - [c39]Jayatika Sakhuja, Sandip Lashkare, Udayan Ganguly:
Device-Aware Quantization in Resistive Random Access Memory-Based Crossbar Arrays to Account for Device Non-Idealities. DRC 2024: 1-2 - [c38]Nishant Saurabh, Paritosh Meihar, Shubham Patil, Udayan Ganguly:
Ultra Low-Cost Epi-Gd2O3 MOSFET Based Novel 1T Frequency Detector. DRC 2024: 1-2 - [c37]Anmol Biswas, Sharvari Ashok Medhe, Raghav Singhal, Udayan Ganguly:
Temporal and Spatial Reservoir Ensembling Techniques for Liquid State Machines. ICONS 2024: 78-81 - [c36]Anmol Biswas, Udayan Ganguly:
QFALT: Quantization and Fault Aware Loss for Training Enables Performance Recovery with Unreliable Weights. IJCNN 2024: 1-6 - [c35]Sivakumar Elangovan, Porus Vangala, Yeshwanth Sunnapu, Khalid Shaikh, Udayan Ganguly, Maryam Shojaei Baghini:
Novel SRAM based Temporary Memory for PVT Variation Tolerant Analog In-Memory Computing. ISCAS 2024: 1-5 - [c34]Abhishek A. Kadam, Ajay Kumar Singh, Laxmeesha Somappa, Maryam Shojaei Baghini, Udayan Ganguly:
A Compact Low Power Multi-mode Spiking Neuron using Band to Band Tunneling. ISCAS 2024: 1-5 - [c33]Gaurav R, Abhishek A. Kadam, Ajay Kumar Singh, Laxmeesha Somappa, Maryam Shojaei Baghini, Udayan Ganguly:
A Compact 140nW/input Winner-Take-All Circuit for Spiking Neural Networks. ISCAS 2024: 1-5 - [c32]Atharva Raut, Abhishek A. Kadam, Ajay Kumar Singh, Laxmeesha Somappa, Maryam Shojaei Baghini, Udayan Ganguly:
A sub-100 nW Power, Compact CTDSM with a Band-To-Band Tunnelling Loop Filter. ISCAS 2024: 1-5 - [c31]Gaurav R, Ujwal Uttarwar, Shreyas Deshmukh, Jayatika Sakhuja, Kunal Randad, Samarth Agarwal, Akshata Koshti, Anmol Biswas, Udayan Ganguly:
Area Efficient Multi-Memristor Bit Cell Design for Resistive Processing Unit-Based Neural Network Training. NVMTS 2024: 1-5 - [c30]Nirmal Solanki, Harshvardhan Singh, Sandip Lashkare, Jayatika Sakhuja, Udayan Ganguly:
Impact of Memory Parameters on Sensitivity Margin of Analog-to-Digital Converter Limiting Neural Network Density. NVMTS 2024: 1-5 - [i27]Shalini Shrivastava, Anmol Biswas, Samyak Chakrabarty, Gayatri Dash, Vivek Saraswat, Udayan Ganguly:
System-level Impact of Non-Ideal Program-Time of Charge Trap Flash (CTF) on Deep Neural Network. CoRR abs/2402.09792 (2024) - [i26]Luca Fehlings, Md Hanif Ali, Paolo Gibertini, Egidio A. Gallicchio, Udayan Ganguly, Veeresh Deshpande, Erika Covi:
Heracles: A HfO2 Ferroelectric Capacitor Compact Model for Efficient Circuit Simulations. CoRR abs/2410.07791 (2024) - [i25]Anmol Biswas, Sharvari Ashok Medhe, Raghav Singhal, Udayan Ganguly:
Temporal and Spatial Reservoir Ensembling Techniques for Liquid State Machines. CoRR abs/2411.11414 (2024) - 2023
- [j7]Anmol Biswas, Vivek Saraswat, Udayan Ganguly:
A temporally and spatially local spike-based backpropagation algorithm to enable training in hardware. Neuromorph. Comput. Eng. 3(3): 34009 (2023) - [j6]Raghav Singhal, Vivek Saraswat, Shreyas Deshmukh, Sreenivas Subramoney, Laxmeesha Somappa, Maryam Shojaei Baghini, Udayan Ganguly:
Enhanced regularization for on-chip training using analog and temporary memory weights. Neural Networks 165: 1050-1057 (2023) - [j5]Abhishek Kadam, Ajay Kumar Singh, Laxmeesha Somappa, Maryam Shojaei Baghini, Udayan Ganguly:
A Compact and Ultra-Low-Power Low-Pass Filter Based on Band-to-Band Tunneling Effect. IEEE Trans. Circuits Syst. II Express Briefs 70(9): 3298-3302 (2023) - [c29]Rohit K. Vartak, Vivek Saraswat, Udayan Ganguly:
Robustness to Variability and Asymmetry of In-Memory On-Chip Training. ICANN (9) 2023: 249-257 - [c28]Anmol Biswas, Nivedya S. Nambiar, Kushal Kejriwal, Udayan Ganguly:
MAdapter: A Multimodal Adapter for Liquid State Machines configures the Input Layer for the same Reservoir to enable Vision and Speech Classification. IJCNN 2023: 1-6 - [c27]Abhishek Kadam, Anmol Biswas, Vivek Saraswat, Ajay Kumar Singh, Laxmeesha Somappa, Maryam Shojaei Baghini, Udayan Ganguly:
Real-world Performance Estimation of Liquid State Machines for Spoken Digit Classification. IJCNN 2023: 1-7 - [c26]Vineet Kotariya, Anmol Biswas, Udayan Ganguly:
E-STDP: A Spatio-Temporally Local Unsupervised Learning Rule for Sparse Coded Spiking Convolutional Autoencoders. IJCNN 2023: 1-7 - [c25]Vadlamani Madhav, Vivek Saraswat, Udayan Ganguly:
Optimizing Throughput and Latency of Static 5G Multicast Networks using Boltzmann Machines. IJCNN 2023: 1-8 - [c24]Shreyas Deshmukh, Vivek Saraswat, Venkatesh Gopinath, Rajesh Nair, Laxmeesha Somappa, Maryam Shojaei Baghini, Udayan Ganguly:
ANN Inference enabled by Variability Mitigation using 2T-1R Bit Cell-based Design Space Analysis. ISCAS 2023: 1-5 - [i24]Paritosh Meihar, Rowtu Srinu, Vivek Saraswat, Sandip Lashkare, Halid Mulaosmanovic, Stefan Dünkel, Sven Beyer, Udayan Ganguly:
FeFET-based MirrorBit cell for High-density NVM storage. CoRR abs/2304.03124 (2023) - [i23]Shubham Patil, Jayatika Sakhuja, Ajay Kumar Singh, Anmol Biswas, Vivek Saraswat, Sandeep Kumar, Sandip Lashkare, Udayan Ganguly:
Schottky Barrier MOSFET Enabled Ultra-Low Power Real-Time Neuron for Neuromorphic Computing. CoRR abs/2304.08504 (2023) - [i22]Shubham Patil, Anand Sharma, Gaurav R, Abhishek Kadam, Ajay Kumar Singh, Sandip Lashkare, Nihar Ranjan Mohapatra, Udayan Ganguly:
Process Voltage Temperature Variability Estimation of Tunneling Current for Band-to-Band-Tunneling based Neuron. CoRR abs/2306.11640 (2023) - [i21]Paritosh Meihar, Rowtu Srinu, Sandip Lashkare, Ajay Kumar Singh, Halid Mulaosmanovic, Veeresh Deshpande, Stefan Dünkel, Sven Beyer, Udayan Ganguly:
Ferroelectric MirrorBit-Integrated Field-Programmable Memory Array for TCAM, Storage, and In-Memory Computing Applications. CoRR abs/2307.04705 (2023) - [i20]Shrivastava Shalini, Vivek Saraswat, Gayatri Dash, Samyak Chakrabarty, Udayan Ganguly:
Non-Ideal Program-Time Conservation in Charge Trap Flash for Deep Learning. CoRR abs/2307.06088 (2023) - 2022
- [j4]Vivek Saraswat, Udayan Ganguly:
Stochasticity invariance control in Pr1-x Ca x MnO3 RRAM to enable large-scale stochastic recurrent neural networks. Neuromorph. Comput. Eng. 2(1): 14001 (2022) - [j3]Ajay Kumar Singh, Vivek Saraswat, Maryam Shojaei Baghini, Udayan Ganguly:
Quantum Tunneling Based Ultra-Compact and Energy Efficient Spiking Neuron Enables Hardware SNN. IEEE Trans. Circuits Syst. I Regul. Pap. 69(8): 3212-3224 (2022) - [c23]Rajat Patel, Vivek Saraswat, Udayan Ganguly:
Liquid State Machine on Loihi: Memory Metric for Performance Prediction. ICANN (3) 2022: 692-703 - [c22]Vineet Kotariya, Udayan Ganguly:
Spiking-GAN: A Spiking Generative Adversarial Network Using Time-To-First-Spike Coding. IJCNN 2022: 1-7 - [c21]Wasi Uddin, Ankit Bende, Avinash Singh, Tarun Malviya, Rohit Ranjan, Kumar Priyadarshi, Udayan Ganguly:
Indigenous Fab-Lab Hybrid Device Integration for Phase Change Memory for In-Memory Computing. VDAT 2022: 468-477 - [c20]Ashwin Sanjay Lele, Srivatsava Jandhyala, Saurabh Gangurde, Virendra Singh, Sreenivas Subramoney, Udayan Ganguly:
Disrupting Low-Write-Energy vs. Fast-Read Dilemma in RRAM to Enable L1 Instruction Cache. VDAT 2022: 499-512 - [i19]Anmol Biswas, Vivek Saraswat, Udayan Ganguly:
A Temporally and Spatially Local Spike-based Backpropagation Algorithm to Enable Training in Hardware. CoRR abs/2207.09755 (2022) - 2021
- [c19]Jayesh Choudhary, Vivek Saraswat, Udayan Ganguly:
Algorithm for 3D-Chemotaxis Using Spiking Neural Network. ICANN (5) 2021: 207-219 - [c18]Apoorv Kishore, Vivek Saraswat, Udayan Ganguly:
Simplified Klinokinesis using Spiking Neural Networks for Resource-Constrained Navigation on the N euromorphic Processor Loihi. IJCNN 2021: 1-8 - [c17]Vivek Saraswat, Ajinkya Gorad, Anand Naik, Aakash Patil, Udayan Ganguly:
Hardware-Friendly Synaptic Orders and Timescales in Liquid State Machines for Speech Classification. IJCNN 2021: 1-8 - [i18]Vivek Saraswat, Ajinkya Gorad, Anand Naik, Aakash Patil, Udayan Ganguly:
Hardware-Friendly Synaptic Orders and Timescales in Liquid State Machines for Speech Classification. CoRR abs/2104.14264 (2021) - [i17]Apoorv Kishore, Vivek Saraswat, Udayan Ganguly:
Simplified Klinokinesis using Spiking Neural Networks for Resource-Constrained Navigation on the Neuromorphic Processor Loihi. CoRR abs/2105.01358 (2021) - [i16]Vineet Kotariya, Udayan Ganguly:
Spiking-GAN: A Spiking Generative Adversarial Network Using Time-To-First-Spike Coding. CoRR abs/2106.15420 (2021) - [i15]Jayesh Choudhary, Vivek Saraswat, Udayan Ganguly:
Algorithm For 3D-Chemotaxis Using Spiking Neural Network. CoRR abs/2106.16215 (2021) - [i14]Omkar Phadke, Jayatika Sakhuja, Vivek Saraswat, Udayan Ganguly:
Exploiting the Electrothermal Timescale in PrMnO3 RRAM for a compact, clock-less neuron exhibiting biological spiking patterns. CoRR abs/2108.13389 (2021) - [i13]Vivek Saraswat, Udayan Ganguly:
Stochasticity Invariance Control in Pr1-xCaxMnO3 RRAM to enable Large-Scale Stochastic Recurrent Neural Networks. CoRR abs/2111.02885 (2021) - 2020
- [c16]Jayatika Sakhuja, Sandip Lashkare, Vivek Saraswat, Udayan Ganguly:
Thermal Engineering of Volatile Switching in PrMnO3 RRAM: Non-Linearity in DC IV Characteristics and Transient Switching Speed. DRC 2020: 1-2 - [c15]Shashwat Shukla, Rohan Pathak, Vivek Saraswat, Udayan Ganguly:
Adaptive Chemotaxis for Improved Contour Tracking Using Spiking Neural Networks. ICANN (2) 2020: 681-692 - [c14]Varun Bhatt, Shrivastava Shalini, Tanmay Chavan, Udayan Ganguly:
Software-Level Accuracy Using Stochastic Computing With Charge-Trap-Flash Based Weight Matrix. IJCNN 2020: 1-8 - [c13]Shruti Landge, Vivek Saraswat, Srisht Fateh Singh, Udayan Ganguly:
n-Oscillator Neural Network based Efficient Cost Function for n-city Traveling Salesman Problem. IJCNN 2020: 1-8 - [c12]Ashwin Sanjay Lele, Anand Naik, Lakshya Bandhu, Bhaskar Das, Udayan Ganguly:
Circuit Cost Reduction for Online STDP using NIPIN Selector as Timekeeping Device in RRAM Synapse. ISCAS 2020: 1-5 - [i12]Sandip Lashkare, Ashwin Bhat, Udayan Ganguly:
Temperature Dependence of Volatile Current shoot-up in PrMnO3 based Selector-less RRAM. CoRR abs/2002.00703 (2020) - [i11]Varun Bhatt, Shrivastava Shalini, Tanmay Chavan, Udayan Ganguly:
Software-Level Accuracy Using Stochastic Computing With Charge-Trap-Flash Based Weight Matrix. CoRR abs/2004.11120 (2020) - [i10]Shashwat Shukla, Rohan Pathak, Vivek Saraswat, Udayan Ganguly:
Adaptive Chemotaxis for improved Contour Tracking using Spiking Neural Networks. CoRR abs/2008.00317 (2020) - [i9]Udayan Ganguly, Sandip Lashkare, Swaroop Ganguly:
India's Rise in Nanoelectronics Research. CoRR abs/2011.11251 (2020)
2010 – 2019
- 2019
- [c11]Vivek Saraswat, Sandip Lashkare, Pankaj Kumbhare, Udayan Ganguly:
Fundamental Limit on Network Size Scaling of Oscillatory Neural Networks due to PrMnO3 based Oscillator Phase Noise. DRC 2019: 195-196 - [c10]Ajinkya Gorad, Vivek Saraswat, Udayan Ganguly:
Predicting Performance using Approximate State Space Model for Liquid State Machines. IJCNN 2019: 1-8 - [i8]Ajinkya Gorad, Vivek Saraswat, Udayan Ganguly:
Predicting Performance using Approximate State Space Model for Liquid State Machines. CoRR abs/1901.06240 (2019) - [i7]Shrivastava Shalini, Tanmay Chavan, Udayan Ganguly:
Ultra-low Energy charge trap flash based synapse enabled by parasitic leakage mitigation. CoRR abs/1902.09417 (2019) - [i6]Tanmay Chavan, Sangya Dutta, Nihar R. Mohapatra, Udayan Ganguly:
Band-to-Band Tunneling based Ultra-Energy Efficient Silicon Neuron. CoRR abs/1902.09726 (2019) - 2018
- [j2]Anakha V. Babu, Sandip Lashkare, Udayan Ganguly, Bipin Rajendran:
Stochastic learning in deep neural networks based on nanoscale PCMO device characteristics. Neurocomputing 321: 227-236 (2018) - [j1]Aditya Shukla, Udayan Ganguly:
An On-Chip Trainable and the Clock-Less Spiking Neural Network With 1R Memristive Synapses. IEEE Trans. Biomed. Circuits Syst. 12(4): 884-893 (2018) - [c9]Tanmay Chavan, S. Dutta, Nihar R. Mohapatra, Udayan Ganguly:
An Ultra Energy Efficient Neuron enabled by Tunneling in Sub-threshold Regime on a Highly Manufacturable 32 nm SOI CMOS Technology. DRC 2018: 1-2 - [c8]Varun Bhatt, Udayan Ganguly:
Sparsity Enables Data and Energy Efficient Spiking Convolutional Neural Networks. ICANN (1) 2018: 263-272 - [c7]Shashwat Shukla, Sangya Dutta, Udayan Ganguly:
Design of Spiking Rate Coded Logic Gates for C. elegans Inspired Contour Tracking. ICANN (1) 2018: 273-283 - [c6]Sandip Lashkare, Pankaj Kumbhare, Vivek Saraswat, Shouri Chatterjee, Udayan Ganguly:
A Compact PrMnO3 Based Oscillator as an Alternative to CMOS Ring Oscillator in a Smart Temperature Sensor. IEEE SENSORS 2018: 1-4 - [c5]Aditya Shukla, Sidharth Prasad, Sandip Lashkare, Udayan Ganguly:
A case for multiple and parallel RRAMs as synaptic model for training SNNs. IJCNN 2018: 1-8 - [c4]Sandip Lashkare, A. Bhat, Pankaj Kumbhare, Udayan Ganguly:
Transient Joule Heating in PrMnO3 RRAM enables ReLU type Neuron. NVMTS 2018: 1-4 - [i5]Aditya Shukla, Sidharth Prasad, Sandip Lashkare, Udayan Ganguly:
A case for multiple and parallel RRAMs as synaptic model for training SNNs. CoRR abs/1803.04773 (2018) - 2017
- [c3]Aditya Shukla, Vinay Kumar, Udayan Ganguly:
A software-equivalent SNN hardware using RRAM-array for asynchronous real-time learning. IJCNN 2017: 4657-4664 - [c2]S. Shrivastava, Udayan Ganguly:
Array programming scheme to enable improved transient based non-linearity in impact ionization based Si-NIPIN selectors for low power. NVMTS 2017: 1-4 - [i4]Aditya Shukla, Vinay Kumar, Udayan Ganguly:
A Software-equivalent SNN Hardware using RRAM-array for Asynchronous Real-time Learning. CoRR abs/1704.02012 (2017) - [i3]Aditya Shukla, Udayan Ganguly:
A Real-time Trainable and Clock-less Spiking Neural Network with 1R Memristive Synapses. CoRR abs/1709.02699 (2017) - 2016
- [i2]Sushant Mittal, Aneesh Nainani, M. C. Abraham, Saurabh Lodha, Udayan Ganguly:
Enhanced Circuit Densities in Epitaxially Defined FinFETs (EDFinFETs) over FinFETs. CoRR abs/1604.04454 (2016) - [i1]Anmol Biswas, Sidharth Prasad, Sandip Lashkare, Udayan Ganguly:
A simple and efficient SNN and its performance & robustness evaluation method to enable hardware implementation. CoRR abs/1612.02233 (2016) - 2015
- [c1]Pankaj Kumbhare, Indranil Chakraborty, A. K. Singh, S. Chouhan, Neeraj Panwar, Udayan Ganguly:
A selectorless RRAM with record memory window and nonlinearity based on trap filled limit mechanism. NVMTS 2015: 1-3
Coauthor Index
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