9 citations · 19 across the 7 of their papers we have counts for
4 papers · 1 filter
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…
Learning Contextualized Knowledge Structures for Commonsense Reasoning
Jun Yan, Mrigank Raman, Aaron Chan +6
Recently, knowledge graph (KG) augmented models have achieved noteworthy success on various commonsense reasoning tasks. However, KG edge (fact) sparsity and noisy edge extraction/…
Learning to Deceive Knowledge Graph Augmented Models via Targeted Perturbation
Mrigank Raman, Aaron Chan, Siddhant Agarwal +7
Knowledge graphs (KGs) have helped neural models improve performance on various knowledge-intensive tasks, like question answering and item recommendation. By using attention over…
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…