activity
20202024
most citedRiemannian Covariance Fitting for Direction-of-Arrival Estimation

2 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SP2024★ 1 cited

Domain Adaptation for DoA Estimation in Multipath Channels with Interferences

Amitay Bar, Joseph S. Picard, Israel Cohen +1

We consider the problem of estimating the direction-of-arrival (DoA) of a desired source located in a known region of interest in the presence of interfering sources and multipath.…

eess.SP2024★ 2 cited

Riemannian Covariance Fitting for Direction-of-Arrival Estimation

Joseph S. Picard, Amitay Bar, Ronen Talmon

Covariance fitting (CF) is a comprehensive approach for direction of arrival (DoA) estimation, consolidating many common solutions. Standard practice is to use Euclidean criteria f…

cs.LG2024

The Expected Loss of Preconditioned Langevin Dynamics Reveals the Hessian Rank

Amitay Bar, Rotem Mulayoff, Tomer Michaeli +1

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…

eess.SP2023

On Interference-Rejection Using Riemannian Geometry for Direction of Arrival Estimation

Amitay Bar, Ronen Talmon

We consider the problem of estimating the direction of arrival of desired acoustic sources in the presence of multiple acoustic interference sources. All the sources are located in…

cs.LG2020

Option Discovery in the Absence of Rewards with Manifold Analysis

Amitay Bar, Ronen Talmon, Ron Meir

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 g…