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Ronen Talmon

Tree-Wasserstein Distance for High Dimensional Data with a Latent Feature Hierarchy

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Oct 28, 2024
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Domain Adaptation for DoA Estimation in Multipath Channels with Interferences

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Sep 12, 2024
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On Learning what to Learn: heterogeneous observations of dynamics and establishing (possibly causal) relations among them

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Jun 10, 2024
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Equivariant Machine Learning on Graphs with Nonlinear Spectral Filters

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Jun 03, 2024
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Landmark Alternating Diffusion

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Apr 29, 2024
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Riemannian Covariance Fitting for Direction-of-Arrival Estimation

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Apr 04, 2024
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The Expected Loss of Preconditioned Langevin Dynamics Reveals the Hessian Rank

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Feb 21, 2024
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Hyperbolic Diffusion Embedding and Distance for Hierarchical Representation Learning

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May 30, 2023
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On Interference-Rejection using Riemannian Geometry for Direction of Arrival Estimation

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Jan 09, 2023
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Unsupervised Detection of Sub-Territories of the Subthalamic Nucleus During DBS Surgery with Manifold Learning

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Aug 23, 2022
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