18 citations · 36 across the 8 of their papers we have counts for
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cs.LG2023★ 7 cited
Forgetful Active Learning with Switch Events: Efficient Sampling for Out-of-Distribution Data
Ryan Benkert, Mohit Prabhushankar, Ghassan AlRegib
This paper considers deep out-of-distribution active learning. In practice, fully trained neural networks interact randomly with out-of-distribution (OOD) inputs and map aberrant s…
cs.LG2022★ 2 cited
Explainable Machine Learning for Hydrocarbon Prospect Risking
Ahmad Mustafa, Ghassan AlRegib
Hydrocarbon prospect risking is a critical application in geophysics predicting well outcomes from a variety of data including geological, geophysical, and other information modali…
cs.LG2022★ 6 cited
Introspective Learning : A Two-Stage Approach for Inference in Neural Networks
Mohit Prabhushankar, Ghassan AlRegib
In this paper, we advocate for two stages in a neural network's decision making process. The first is the existing feed-forward inference framework where patterns in given data are…