30 citations · 194 across the 56 of their papers we have counts for
72 papers
LDP for Tensor Forms
Reihaneh Malekian, Sohom Bhattacharya, Nabarun Deb +1
In this paper, we study the large deviation principle (LDP) for a tensor-weighted functional of i.i.d. random variables, when the sequence of tensors converges under a variant of t…
Joint parameters estimation in cubic tensor model
Sumit Mukherjee, Arnab Sen, Qiang Wu
We study joint parameter estimation from a single observation in high-dimensional Gibbs measures with cubic tensor interactions, motivated by dense ERGMs, arithmetic-progression mo…
Intraparticle entanglement-based Random Access Code protocols: Contextuality-enabled quantum advantage and implications
Nilaj Saha, Sumit Mukherjee, Dipankar Home
We provide the first explicit identification and quantitative characterization of the physical origin of the quantum advantage in the Random Access Code (RAC) protocol. This is ach…
Connection between the contextuality breaking and incompatibility breaking qubit channels
Swati Kumari, Sumit Mukherjee, R. Prabhu
Contextuality and measurement incompatibility are two fundamental aspects of nonclassicality, and their manifestations in observed quantum correlations are often deeply interconnec…
Joint Estimation in Potts Model
Somabha Mukherjee, Sumit Mukherjee, Sayar Karmakar
In this paper, we study estimation of parameters in a two-parameter Potts model with colors and coupling matrix . We characterize concrete sufficient conditions for existe…
Inference on Gaussian mixture models with dependent labels
Seunghyun Lee, Rajarshi Mukherjee, Sumit Mukherjee
Gaussian mixture models are widely used to model data generated from multiple latent sources. Despite its popularity, most theoretical research assumes that the labels are either i…