Search Results for author: Erez Peterfreund

Found 5 papers, 2 papers with code

Weakly Supervised Indoor Localization via Manifold Matching

no code implementations7 Feb 2022 Erez Peterfreund, Ioannis G. Kevrekidis, Ariel Jaffe

Inferring the location of a mobile device in an indoor setting is an open problem of utmost significance.

Indoor Localization

Differentiable Unsupervised Feature Selection based on a Gated Laplacian

1 code implementation NeurIPS 2021 Ofir Lindenbaum, Uri Shaham, Jonathan Svirsky, Erez Peterfreund, Yuval Kluger

In this paper, we present a method for unsupervised feature selection, and we demonstrate its use for the task of clustering.

LOCA: LOcal Conformal Autoencoder for standardized data coordinates

no code implementations15 Apr 2020 Erez Peterfreund, Ofir Lindenbaum, Felix Dietrich, Tom Bertalan, Matan Gavish, Ioannis G. Kevrekidis, Ronald R. Coifman

We propose a deep-learning based method for obtaining standardized data coordinates from scientific measurements. Data observations are modeled as samples from an unknown, non-linear deformation of an underlying Riemannian manifold, which is parametrized by a few normalized latent variables.

The Spectral Underpinning of word2vec

no code implementations27 Feb 2020 Ariel Jaffe, Yuval Kluger, Ofir Lindenbaum, Jonathan Patsenker, Erez Peterfreund, Stefan Steinerberger

word2vec due to Mikolov \textit{et al.} (2013) is a word embedding method that is widely used in natural language processing.

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