15 citations · 48 across the 9 of their papers we have counts for
3 papers · 1 filter
Learn-By-Calibrating: Using Calibration as a Training Objective
Jayaraman J. Thiagarajan, Bindya Venkatesh, Deepta Rajan
Calibration error is commonly adopted for evaluating the quality of uncertainty estimators in deep neural networks. In this paper, we argue that such a metric is highly beneficial…
Understanding Behavior of Clinical Models under Domain Shifts
Jayaraman J. Thiagarajan, Deepta Rajan, Prasanna Sattigeri
The hypothesis that computational models can be reliable enough to be adopted in prognosis and patient care is revolutionizing healthcare. Deep learning, in particular, has been a…
A Generative Modeling Approach to Limited Channel ECG Classification
Deepta Rajan, Jayaraman J. Thiagarajan
Processing temporal sequences is central to a variety of applications in health care, and in particular multi-channel Electrocardiogram (ECG) is a highly prevalent diagnostic modal…