no code implementations • 20 Dec 2023 • Erez Peterfreund, Iryna Burak, Ofir Lindenbaum, Jim Gimlett, Felix Dietrich, Ronald R. Coifman, Ioannis G. Kevrekidis
Fusing measurements from multiple, heterogeneous, partial sources, observing a common object or process, poses challenges due to the increasing availability of numbers and types of sensors.
no code implementations • 7 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.
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.
1 code implementation • ICLR 2020 • Roy Mor, Erez Peterfreund, Matan Gavish, Amir Globerson
Are there optimal strategies for the attacker or the authenticator?
no code implementations • 15 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.
no code implementations • 27 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.