109 citations · 292 across the 11 of their papers we have counts for
3 papers · 1 filter
Information FOMO: The unhealthy fear of missing out on information. A method for removing misleading data for healthier models
Ethan Pickering, Themistoklis P. Sapsis
Misleading or unnecessary data can have out-sized impacts on the health or accuracy of Machine Learning (ML) models. We present a Bayesian sequential selection method, akin to Baye…
Discovering and forecasting extreme events via active learning in neural operators
Ethan Pickering, Stephen Guth, George Em Karniadakis +1
Extreme events in society and nature, such as pandemic spikes, rogue waves, or structural failures, can have catastrophic consequences. Characterizing extremes is difficult as they…
Structure and Distribution Metric for Quantifying the Quality of Uncertainty: Assessing Gaussian Processes, Deep Neural Nets, and Deep Neural Operators for Regression
Ethan Pickering, Themistoklis P. Sapsis
We propose two bounded comparison metrics that may be implemented to arbitrary dimensions in regression tasks. One quantifies the structure of uncertainty and the other quantifies…