Predicting Performance using Approximate State Space Model for Liquid State Machines. - Ajinkya Gorad; Vivek Saraswat; Udayan Ganguly (IJCNN, 2019)

Respiratory Pattern Recognition from Low-Resolution Thermal Imaging. - Salla Aario; Ajinkya Gorad; Miika Arvonen; Simo Särkkä (ESANN, 2020)

Parameter Estimation in Non-Linear State-Space Models by Automatic Differentiation of Non-Linear Kalman Filters. - Ajinkya Gorad; Zheng Zhao 004; Simo Särkkä (MLSP, 2020)

Hardware-Friendly Synaptic Orders and Timescales in Liquid State Machines for Speech Classification. - Vivek Saraswat; Ajinkya Gorad; Anand Naik; Aakash Patil; Udayan Ganguly (IJCNN, 2021)

Rao-Blackwellized Monte Carlo Data Association With Deep Metric For Object Tracking. - Ajinkya Gorad; Simo Särkkä (MLSP, 2023)

Vessel Bearing Estimation Using Visible and Thermal Imaging. - Ajinkya Gorad; Sakira Hassan; Simo Särkkä (SCIA (2), 2023)

Baltic Sea Ice Dataset. - Ajinkya Gorad; Toni Hammarberg; Henrik Ramm-Schmidt; Simo Särkkä (Zenodo, 2024)