Yoni Choukroun | DeepAI

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∙ 06/28/2023

Reconstructing the Hemodynamic Response Function via a Bimodal Transformer

The relationship between blood flow and neuronal activity is widely reco...

0 Yoni Choukroun, et al. ∙

∙ 01/27/2023

Deep Quantum Error Correction

Quantum error correction codes (QECC) are a key component for realizing ...

0 Yoni Choukroun, et al. ∙

∙ 09/16/2022

Denoising Diffusion Error Correction Codes

Error correction code (ECC) is an integral part of the physical communic...

0 Yoni Choukroun, et al. ∙

∙ 03/27/2022

Error Correction Code Transformer

Error correction code is a major part of the communication physical laye...

1 Yoni Choukroun, et al. ∙

∙ 10/28/2021

Meta Subspace Optimization

Subspace optimization methods have the attractive property of reducing l...

0 Yoni Choukroun, et al. ∙

∙ 10/26/2021

Geometric Transformer for End-to-End Molecule Properties Prediction

Transformers have become methods of choice in many applications thanks t...

0 Yoni Choukroun, et al. ∙

∙ 08/20/2020

Primal-Dual Sequential Subspace Optimization for Saddle-point Problems

We introduce a new sequential subspace optimization method for large-sca...

0 Yoni Choukroun, et al. ∙

∙ 02/18/2019

Low-bit Quantization of Neural Networks for Efficient Inference

Recent breakthrough methods in machine learning make use of increasingly...

0 Yoni Choukroun, et al. ∙

∙ 05/28/2018

Deep Discriminative Latent Space for Clustering

Clustering is one of the most fundamental tasks in data analysis and mac...

0 Elad Tzoreff, et al. ∙

∙ 02/13/2018

Deep Learning for Decoding of Linear Codes - A Syndrome-Based Approach

We present a novel framework for applying deep neural networks (DNN) to ...

0 Amir Bennatan, et al. ∙

∙ 07/07/2017

Sparse Approximation of 3D Meshes using the Spectral Geometry of the Hamiltonian Operator

The discrete Laplace operator is ubiquitous in spectral shape analysis, ...

0 Yoni Choukroun, et al. ∙

∙ 11/07/2016

Hamiltonian operator for spectral shape analysis

Many shape analysis methods treat the geometry of an object as a metric ...

0 Yoni Choukroun, et al. ∙

∙ 09/18/2016

Consistent Discretization and Minimization of the L1 Norm on Manifolds

The L1 norm has been tremendously popular in signal and image processing...

0 Alex Bronstein, et al. ∙

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