Bhaskar Rao — accepted AI-conference papers

2025

Bernoulli-Gaussian Scale Mixture Model and BP Method for Multi-Snapshot Sparse Signal Recovery

Shaoxiu Wei, Mingchao Liang, Bhaskar Rao, Florian Meyer

ICASSP 2025accepted

We present a general Bernoulli Gaussian scale mixture based approach for modeling priors that can represent a large class of random signals. For inference, we introduce belief propagation (BP) to multi-snapshot signal recovery based on the minimum mean square error estimation criteria. Our method re…

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2019

Sparse Bayesian Learning for Robust PCA

Jing Liu, Yacong Ding, Bhaskar Rao

ICASSP 2019accepted

In this paper, we propose a new Bayesian model to solve the Robust PCA problem - recovering the underlying low-rank matrix and sparse matrix from their noisy compositions. We first derive and analyze a new objective function, which is proven to be equivalent to the fundamental minimizing "rank+spars…

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