4 accepted papers
We address the problem of multichannel audio signal enhancement in reverberant environments with interfering sources. We propose an approach that leverages the Riemannian geometry of the spatial correlation matrices of the received signals to estimate the relative transfer function (RTF) of the desi…
Direct Position Determination (DPD) is the state-of-the-art solution for emitter localization using multiple phased arrays. This paper shows that DPD can be recast as a covariance-fitting (CF) problem that minimizes the Euclidean distance between a sample covariance matrix ${\mathbf{\hat R}}$ and it…
Langevin dynamics (LD) is widely used for sampling from distributions and for optimization. In this work, we derive a closed-form expression for the expected loss of preconditioned LD near stationary points of the objective function. We use the fact that at the vicinity of such points, LD reduces to…
Options have been shown to be an effective tool in reinforcement learning, facilitating improved exploration and learning. In this paper, we present an approach based on spectral graph theory and derive an algorithm that systematically discovers options without access to a specific reward or task as…