27 citations · 65 across the 10 of their papers we have counts for
3 papers · 1 filter
Correcting Model Misspecification via Generative Adversarial Networks
Pronoma Banerjee, Manasi V Gude, Rajvi J Sampat +3
Machine learning models are often misspecified in the likelihood, which leads to a lack of robustness in the predictions. In this paper, we introduce a framework for correcting lik…
QuantProb: Generalizing Probabilities along with Predictions for a Pre-trained Classifier
Aditya Challa, Snehanshu Saha, Soma Dhavala
Quantification of Uncertainty in predictions is a challenging problem. In the classification settings, although deep learning based models generalize well, class probabilities ofte…
Quantile LSTM: A Robust LSTM for Anomaly Detection In Time Series Data
Snehanshu Saha, Jyotirmoy Sarkar, Soma Dhavala +2
Anomalies refer to the departure of systems and devices from their normal behaviour in standard operating conditions. An anomaly in an industrial device can indicate an upcoming fa…