1 citations · 1 across the 2 of their papers we have counts for
3 papers
math.PR2024
Introduction to Martingales
Rohan Shah
This paper introduces Martingales by covering introductory measure theory concepts and the Lebesgue Integration and Conditional Expectation. It follows up with proofs of Kolomorgov…
cs.CV2023
Turn Down the Noise: Leveraging Diffusion Models for Test-time Adaptation via Pseudo-label Ensembling
Mrigank Raman, Rohan Shah, Akash Kannan +1
The goal of test-time adaptation is to adapt a source-pretrained model to a continuously changing target domain without relying on any source data. Typically, this is either done b…
stat.CO2015★ 1 cited
Estimating Residual Connectivity for Random Graphs
Rohan Shah, Dirk P. Kroese
Computation of the probability that a random graph is connected is a challenging problem, so it is natural to turn to approximations such as Monte Carlo methods. We describe sequen…