Self-organising Neural Network Hierarchy. - Satya Borgohain; Gideon Kowadlo; David Rawlinson 001; Christoph Bergmeir; Kok Loo; Harivallabha Rangarajan; Levin Kuhlmann (Australasian Conference on Artificial Intelligence, 2020)

Creating Powerful and Interpretable Models withRegression Networks. - Lachlan O'Neill; Simon D. Angus; Satya Borgohain; Nader Chmait; David L. Dowe (CoRR, 2021)

Bayesian Neural Network Versus Ex-Post Calibration For Prediction Uncertainty. - Satya Borgohain; Klaus Ackermann; Ruben Loaiza-Maya (CoRR, 2022)

Models Teaching Models: Improving Model Accuracy with Slingshot Learning. - Lachlan O'Neill; Nandini Anantharama; Satya Borgohain; Simon D. Angus (EACL, 2023)