1 citations · 1 across the 1 of their papers we have counts for
3 papers
Domain Generalization via Inference-time Label-Preserving Target Projections
Prashant Pandey, Mrigank Raman, Sumanth Varambally +1
Generalization of machine learning models trained on a set of source domains on unseen target domains with different statistics, is a challenging problem. While many approaches hav…
Centralized active tracking of a Markov chain with unknown dynamics
Mrigank Raman, Ojal Kumar, Arpan Chattopadhyay
In this paper, selection of an active sensor subset for tracking a discrete time, finite state Markov chain having an unknown transition probability matrix (TPM) is considered. A t…
Discrepancy Minimization in Domain Generalization with Generative Nearest Neighbors
Prashant Pandey, Mrigank Raman, Sumanth Varambally +1
Domain generalization (DG) deals with the problem of domain shift where a machine learning model trained on multiple-source domains fail to generalize well on a target domain with…