| 2023 | ICANN | Robustness to Variability and Asymmetry of In-Memory On-Chip Training. | Rohit K. Vartak, Vivek Saraswat, Udayan Ganguly |
| 2023 | IJCNN | Real-world Performance Estimation of Liquid State Machines for Spoken Digit Classification. | Abhishek Kadam, Anmol Biswas, Vivek Saraswat, Ajay Kumar Singh, Laxmeesha Somappa, Maryam Shojaei Baghini, Udayan Ganguly |
| 2023 | IJCNN | Optimizing Throughput and Latency of Static 5G Multicast Networks using Boltzmann Machines. | Vadlamani Madhav, Vivek Saraswat, Udayan Ganguly |
| 2023 | ISCAS | ANN Inference enabled by Variability Mitigation using 2T-1R Bit Cell-based Design Space Analysis. | Shreyas Deshmukh, Vivek Saraswat, Venkatesh Gopinath, Rajesh Nair, Laxmeesha Somappa, Maryam Shojaei Baghini, Udayan Ganguly |
| 2022 | ICANN | Liquid State Machine on Loihi: Memory Metric for Performance Prediction. | Rajat Patel, Vivek Saraswat, Udayan Ganguly |
| 2021 | ICANN | Algorithm for 3D-Chemotaxis Using Spiking Neural Network. | Jayesh Choudhary, Vivek Saraswat, Udayan Ganguly |
| 2021 | IJCNN | Simplified Klinokinesis using Spiking Neural Networks for Resource-Constrained Navigation on the N euromorphic Processor Loihi. | Apoorv Kishore, Vivek Saraswat, Udayan Ganguly |
| 2021 | IJCNN | Hardware-Friendly Synaptic Orders and Timescales in Liquid State Machines for Speech Classification. | Vivek Saraswat, Ajinkya Gorad, Anand Naik, Aakash Patil, Udayan Ganguly |
| 2020 | ICANN | Adaptive Chemotaxis for Improved Contour Tracking Using Spiking Neural Networks. | Shashwat Shukla, Rohan Pathak, Vivek Saraswat, Udayan Ganguly |
| 2020 | IJCNN | n-Oscillator Neural Network based Efficient Cost Function for n-city Traveling Salesman Problem. | Shruti Landge, Vivek Saraswat, Srisht Fateh Singh, Udayan Ganguly |
| 2019 | IJCNN | Predicting Performance using Approximate State Space Model for Liquid State Machines. | Ajinkya Gorad, Vivek Saraswat, Udayan Ganguly |