Research

Selected publications and preprints.

Decomposing Physician Disagreement in HealthBench
2026
Satya Borgohain, Roy Mariathas
arXiv preprint
Models Teaching Models: Improving Model Accuracy with Slingshot Learning
2023
Lachlan O'Neill, Nandini Anantharama, Satya Borgohain, Simon D Angus
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL)
Bayesian Neural Network Versus Ex-Post Calibration For Prediction Uncertainty
2022
Satya Borgohain, Klaus Ackermann, Lachlan O'Neill, Simon D Angus
arXiv preprint
Creating Powerful and Interpretable Models with Regression Networks
2021
Lachlan O'Neill, Simon Angus, Satya Borgohain, Nader Chmait, David L Dowe
arXiv preprint
Self-organising Neural Network Hierarchy
2020
Satya Borgohain, Gideon Kowadlo, David Rawlinson, Christoph Bergmeir, Kok Loo, Harivallabha Rangarajan, Levin Kuhlmann
Australasian Joint Conference on Artificial Intelligence (AI 2020), Springer