30 citations · 30 across the 2 of their papers we have counts for
2 papers
stat.ML2020
Ramifications of Approximate Posterior Inference for Bayesian Deep Learning in Adversarial and Out-of-Distribution Settings
John Mitros, Arjun Pakrashi, Brian Mac Namee
Deep neural networks have been successful in diverse discriminative classification tasks, although, they are poorly calibrated often assigning high probability to misclassified pre…
cs.LG2019★ 30 cited
A Kalman filtering induced heuristic optimization based partitional data clustering
Arjun Pakrashi, Bidyut B. Chaudhuri
Clustering algorithms have regained momentum with recent popularity of data mining and knowledge discovery approaches. To obtain good clustering in reasonable amount of time, vario…