18 citations · 39 across the 7 of their papers we have counts for
8 papers
Finite-Sample Analysis of Image Registration
Ravi Kiran Raman, Lav R. Varshney
We study the problem of image registration in the finite-resolution regime and characterize the error probability of algorithms as a function of properties of the transformation an…
Decision Making in Star Networks with Incorrect Beliefs
Daewon Seo, Ravi Kiran Raman, Lav R. Varshney
Consider a Bayesian binary decision-making problem in star networks, where local agents make selfish decisions independently, and a fusion agent makes a final decision based on agg…
Beliefs in Decision-Making Cascades
Daewon Seo, Ravi Kiran Raman, Joong Bum Rhim +2
This work explores a social learning problem with agents having nonidentical noise variances and mismatched beliefs. We consider an -agent binary hypothesis test in which each a…
Promoting Distributed Trust in Machine Learning and Computational Simulation via a Blockchain Network
Nelson Kibichii Bore, Ravi Kiran Raman, Isaac M. Markus +8
Policy decisions are increasingly dependent on the outcomes of simulations and/or machine learning models. The ability to share and interact with these outcomes is relevant across…
Trusted Multi-Party Computation and Verifiable Simulations: A Scalable Blockchain Approach
Ravi Kiran Raman, Roman Vaculin, Michael Hind +6
Large-scale computational experiments, often running over weeks and over large datasets, are used extensively in fields such as epidemiology, meteorology, computational biology, an…
Dynamic Distributed Storage for Scaling Blockchains
Ravi Kiran Raman, Lav R. Varshney
Blockchain uses the idea of storing transaction data in the form of a distributed ledger wherein each node in the network stores a current copy of the sequence of transactions in t…
Universal Joint Image Clustering and Registration using Partition Information
Ravi Kiran Raman, Lav R. Varshney
We consider the problem of universal joint clustering and registration of images and define algorithms using multivariate information functionals. We first study registering two im…
Universal Clustering via Crowdsourcing
Ravi Kiran Raman, Lav Varshney
Consider unsupervised clustering of objects drawn from a discrete set, through the use of human intelligence available in crowdsourcing platforms. This paper defines and studies th…