2 papers
cs.LG2022
Bayesian Neural Network Versus Ex-Post Calibration For Prediction Uncertainty
Satya Borgohain, Klaus Ackermann, Ruben Loaiza-Maya
Probabilistic predictions from neural networks which account for predictive uncertainty during classification is crucial in many real-world and high-impact decision making settings…
cs.LG2021
Creating Powerful and Interpretable Models with Regression Networks
Lachlan O'Neill, Simon Angus, Satya Borgohain +2
As the discipline has evolved, research in machine learning has been focused more and more on creating more powerful neural networks, without regard for the interpretability of the…