109 citations · 522 across the 51 of their papers we have counts for
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Multi-Resolution Continuous Normalizing Flows
Vikram Voleti, Chris Finlay, Adam Oberman +1
Recent work has shown that Neural Ordinary Differential Equations (ODEs) can serve as generative models of images using the perspective of Continuous Normalizing Flows (CNFs). Such…
Frustratingly Easy Uncertainty Estimation for Distribution Shift
Tiago Salvador, Vikram Voleti, Alexander Iannantuono +1
Distribution shift is an important concern in deep image classification, produced either by corruption of the source images, or a complete change, with the solution involving domai…
FairCal: Fairness Calibration for Face Verification
Tiago Salvador, Stephanie Cairns, Vikram Voleti +2
Despite being widely used, face recognition models suffer from bias: the probability of a false positive (incorrect face match) strongly depends on sensitive attributes such as the…