Vivek Saraswat

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 32

Top Topics

Boltzmann Machine

Backpropagation Algorithm

Top Venues

Neuromorph. Comput. Eng.

Publications

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)
S. Shrivastava, A. Biswas, S. 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 (2024)
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)
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)
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) (2023)
Shrivastava Shalini, Vivek Saraswat, Gayatri Dash, Samyak Chakrabarty, Udayan Ganguly
Non-Ideal Program-Time Conservation in Charge Trap Flash for Deep Learning. CoRR (2023)
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 (2023)
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 (2023)
Rohit K. Vartak, Vivek Saraswat, Udayan Ganguly
Robustness to Variability and Asymmetry of In-Memory On-Chip Training. ICANN (9) (2023)
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 (2023)
Vadlamani Madhav, Vivek Saraswat, Udayan Ganguly
Optimizing Throughput and Latency of Static 5G Multicast Networks using Boltzmann Machines. IJCNN (2023)
Rajat Patel, Vivek Saraswat, Udayan Ganguly
Liquid State Machine on Loihi: Memory Metric for Performance Prediction. ICANN (3) (2022)
Vivek Saraswat, Udayan Ganguly
RRAM to enable large-scale stochastic recurrent neural networks. Neuromorph. Comput. Eng. 2 (1) (2022)
Anmol Biswas, Vivek Saraswat, Udayan Ganguly
A Temporally and Spatially Local Spike-based Backpropagation Algorithm to Enable Training in Hardware. CoRR (2022)
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) (2022)
Vivek Saraswat, Ajinkya Gorad, Anand Naik, Aakash Patil, Udayan Ganguly
Hardware-Friendly Synaptic Orders and Timescales in Liquid State Machines for Speech Classification. CoRR (2021)
Jayesh Choudhary, Vivek Saraswat, Udayan Ganguly
Algorithm for 3D-Chemotaxis Using Spiking Neural Network. ICANN (5) (2021)
Vivek Saraswat, Udayan Ganguly
RRAM to enable Large-Scale Stochastic Recurrent Neural Networks. CoRR (2021)
Apoorv Kishore, Vivek Saraswat, Udayan Ganguly
Simplified Klinokinesis using Spiking Neural Networks for Resource-Constrained Navigation on the Neuromorphic Processor Loihi. CoRR (2021)
Apoorv Kishore, Vivek Saraswat, Udayan Ganguly
Simplified Klinokinesis using Spiking Neural Networks for Resource-Constrained Navigation on the N euromorphic Processor Loihi. IJCNN (2021)
Jayesh Choudhary, Vivek Saraswat, Udayan Ganguly
Algorithm For 3D-Chemotaxis Using Spiking Neural Network. CoRR (2021)
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)
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 (2021)
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)
Shashwat Shukla, Rohan Pathak, Vivek Saraswat, Udayan Ganguly
Adaptive Chemotaxis for Improved Contour Tracking Using Spiking Neural Networks. ICANN (2) (2020)
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)
Shashwat Shukla, Rohan Pathak, Vivek Saraswat, Udayan Ganguly
Adaptive Chemotaxis for improved Contour Tracking using Spiking Neural Networks. CoRR (2020)
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)
Ajinkya Gorad, Vivek Saraswat, Udayan Ganguly
Predicting Performance using Approximate State Space Model for Liquid State Machines. IJCNN (2019)
Ajinkya Gorad, Vivek Saraswat, Udayan Ganguly
Predicting Performance using Approximate State Space Model for Liquid State Machines. CoRR (2019)
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)
Vivek Saraswat, Pradeep R. Nair
Anomalous Scaling of Response Time of Chemical Sensors with Concentration of Unstable Gases. IEEE SENSORS (2018)