Ami Wiesel | DeepAI

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Featured Co-authors

Yonina C. Eldar
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Amir Globerson
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Alfred O. Hero III
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Dennis Wei
36 publications
Ran El-Yaniv
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Avinatan Hassidim
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Yossi Matias
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Gal Elidan
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Sella Nevo
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Ilya Soloveychik
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Tzvi Diskin
8 publications

∙ 08/04/2022

CFARnet: deep learning for target detection with constant false alarm rate

We consider the problem of learning detectors with a Constant False Alar...

0 Tzvi Diskin, et al. ∙

∙ 06/12/2022

Learning to Detect with Constant False Alarm Rate

We consider the use of machine learning for hypothesis testing with an e...

0 Tzvi Diskin, et al. ∙

∙ 10/26/2021

On the Optimization Landscape of Maximum Mean Discrepancy

Generative models have been successfully used for generating realistic s...

0 Itai Alon, et al. ∙

∙ 10/24/2021

Learning to Estimate Without Bias

We consider the use of deep learning for parameter estimation. We propos...

0 Tzvi Diskin, et al. ∙

∙ 03/21/2021

Conditional Frechet Inception Distance

We consider distance functions between conditional distributions functio...

0 Michael Soloveitchik, et al. ∙

∙ 10/10/2020

Maximin Optimization for Binary Regression

We consider regression problems with binary weights. Such optimization p...

6 Nisan Chiprut, et al. ∙

∙ 04/21/2020

Normalizing Flow Regression

In this letter we propose a convex approach to learning expressive scala...

13 Yonatan Woodbridge, et al. ∙

∙ 03/10/2020

PnP-Net: A hybrid Perspective-n-Point Network

We consider the robust Perspective-n-Point (PnP) problem using a hybrid ...

20 Roy Sheffer, et al. ∙

∙ 02/16/2020

Fair Principal Component Analysis and Filter Design

We consider Fair Principal Component Analysis (FPCA) and search for a lo...

2 Gad Zalcberg, et al. ∙

∙ 10/27/2019

Spectral Algorithm for Low-rank Multitask Regression

Multitask learning, i.e. taking advantage of the relatedness of individu...

20 Yotam Gigi, et al. ∙

∙ 01/28/2019

ML for Flood Forecasting at Scale

Effective riverine flood forecasting at scale is hindered by a multitude...

14 Sella Nevo, et al. ∙

∙ 01/03/2019

Towards Global Remote Discharge Estimation: Using the Few to Estimate The Many

Learning hydrologic models for accurate riverine flood prediction at sca...

8 Yotam Gigi, et al. ∙

∙ 05/19/2018

Learning to Detect

In this paper we consider Multiple-Input-Multiple-Output (MIMO) detectio...

0 Neev Samuel, et al. ∙

∙ 06/04/2017

Deep MIMO Detection

In this paper, we consider the use of deep neural networks in the contex...

0 Neev Samuel, et al. ∙

∙ 11/20/2015

Joint Inverse Covariances Estimation with Mutual Linear Structure

We consider the problem of joint estimation of structured inverse covari...

0 Ilya Soloveychik, et al. ∙

∙ 04/07/2014

Tyler's Covariance Matrix Estimator in Elliptical Models with Convex Structure

We address structured covariance estimation in elliptical distributions ...

0 Ilya Soloveychik, et al. ∙

∙ 06/18/2013

Group Symmetry and non-Gaussian Covariance Estimation

We consider robust covariance estimation with group symmetry constraints...

0 Ilya Soloveychik, et al. ∙

∙ 03/19/2013

Marginal Likelihoods for Distributed Parameter Estimation of Gaussian Graphical Models

We consider distributed estimation of the inverse covariance matrix, als...

0 Zhaoshi Meng, et al. ∙

∙ 08/18/2008

Decomposable Principal Component Analysis

We consider principal component analysis (PCA) in decomposable Gaussian ...

0 Ami Wiesel, et al. ∙