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Vivek Saraswat
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2020 – today
- 2024
- [c16]Shreyas Deshmukh
, Shubham Patil, Anmol Biswas, Vivek Saraswat, Abhishek Kadam
Resistive Processing Unit-based On-chip ANN Training with Digital Memory. AICAS 2024: 462-466 - [i12]Shalini Shrivastava
System-level Impact of Non-Ideal Program-Time of Charge Trap Flash (CTF) on Deep Neural Network. CoRR abs/2402.09792 (2024) - 2023
- [j4]Anmol Biswas
A temporally and spatially local spike-based backpropagation algorithm to enable training in hardware. Neuromorph. Comput. Eng. 3(3): 34009 (2023) - [j3]Raghav Singhal
Enhanced regularization for on-chip training using analog and temporary memory weights. Neural Networks 165: 1050-1057 (2023) - [c15]Rohit K. Vartak
Robustness to Variability and Asymmetry of In-Memory On-Chip Training. ICANN (9) 2023: 249-257 - [c14]Abhishek Kadam
Real-world Performance Estimation of Liquid State Machines for Spoken Digit Classification. IJCNN 2023: 1-7 - [c13]Vadlamani Madhav, Vivek Saraswat
Optimizing Throughput and Latency of Static 5G Multicast Networks using Boltzmann Machines. IJCNN 2023: 1-8 - [c12]Shreyas Deshmukh
ANN Inference enabled by Variability Mitigation using 2T-1R Bit Cell-based Design Space Analysis. ISCAS 2023: 1-5 - [i11]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) - [i10]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) - [i9]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
- [j2]Vivek Saraswat
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) - [j1]Ajay Kumar Singh
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) - [c11]Rajat Patel
Liquid State Machine on Loihi: Memory Metric for Performance Prediction. ICANN (3) 2022: 692-703 - [i8]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
- [c10]Jayesh Choudhary, Vivek Saraswat
Algorithm for 3D-Chemotaxis Using Spiking Neural Network. ICANN (5) 2021: 207-219 - [c9]Apoorv Kishore, Vivek Saraswat
Simplified Klinokinesis using Spiking Neural Networks for Resource-Constrained Navigation on the N euromorphic Processor Loihi. IJCNN 2021: 1-8 - [c8]Vivek Saraswat
Hardware-Friendly Synaptic Orders and Timescales in Liquid State Machines for Speech Classification. IJCNN 2021: 1-8 - [i7]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) - [i6]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) - [i5]Jayesh Choudhary, Vivek Saraswat, Udayan Ganguly:
Algorithm For 3D-Chemotaxis Using Spiking Neural Network. CoRR abs/2106.16215 (2021) - [i4]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) - [i3]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
- [c7]Jayatika Sakhuja
Thermal Engineering of Volatile Switching in PrMnO3 RRAM: Non-Linearity in DC IV Characteristics and Transient Switching Speed. DRC 2020: 1-2 - [c6]Shashwat Shukla, Rohan Pathak, Vivek Saraswat
Adaptive Chemotaxis for Improved Contour Tracking Using Spiking Neural Networks. ICANN (2) 2020: 681-692 - [c5]Shruti Landge, Vivek Saraswat
n-Oscillator Neural Network based Efficient Cost Function for n-city Traveling Salesman Problem. IJCNN 2020: 1-8 - [i2]Shashwat Shukla, Rohan Pathak, Vivek Saraswat, Udayan Ganguly:
Adaptive Chemotaxis for improved Contour Tracking using Spiking Neural Networks. CoRR abs/2008.00317 (2020)
2010 – 2019
- 2019
- [c4]Vivek Saraswat
Fundamental Limit on Network Size Scaling of Oscillatory Neural Networks due to PrMnO3 based Oscillator Phase Noise. DRC 2019: 195-196 - [c3]Ajinkya Gorad, Vivek Saraswat
Predicting Performance using Approximate State Space Model for Liquid State Machines. IJCNN 2019: 1-8 - [i1]Ajinkya Gorad, Vivek Saraswat, Udayan Ganguly:
Predicting Performance using Approximate State Space Model for Liquid State Machines. CoRR abs/1901.06240 (2019) - 2018
- [c2]Sandip Lashkare
A Compact PrMnO3 Based Oscillator as an Alternative to CMOS Ring Oscillator in a Smart Temperature Sensor. IEEE SENSORS 2018: 1-4 - [c1]Vivek Saraswat
Anomalous Scaling of Response Time of Chemical Sensors with Concentration of Unstable Gases. IEEE SENSORS 2018: 1-4
Coauthor Index
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