Tomer Raviv | DeepAI

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Featured Co-authors

Osvaldo Simeone
158 publications
Yonina C. Eldar
157 publications
Nir Shlezinger
69 publications
Sangwoo Park
37 publications
Jacob Goldberger
30 publications
Avi Caciularu
30 publications
Joonhyuk Kang
16 publications
Yair Be'ery
11 publications
Nir Raviv
3 publications
Ishay Be'ery
2 publications
Alon Goldman
1 publication

∙ 05/12/2023

Adaptive and Flexible Model-Based AI for Deep Receivers in Dynamic Channels

Artificial intelligence (AI) is envisioned to play a key role in future ...

0 Tomer Raviv, et al. ∙

∙ 02/05/2023

Modular Model-Based Bayesian Learning for Uncertainty-Aware and Reliable Deep MIMO Receivers

In the design of wireless receivers, DNNs can be combined with tradition...

0 Tomer Raviv, et al. ∙

∙ 01/15/2023

CRC-Aided Learned Ensembles of Belief-Propagation Polar Decoders

Polar codes have promising error-correction capabilities. Yet, decoding ...

0 Tomer Raviv, et al. ∙

∙ 09/03/2022

Data Augmentation for Deep Receivers

Deep neural networks (DNNs) allow digital receivers to learn to operate ...

0 Tomer Raviv, et al. ∙

∙ 03/27/2022

Online Meta-Learning For Hybrid Model-Based Deep Receivers

Recent years have witnessed growing interest in the application of deep ...

0 Tomer Raviv, et al. ∙

∙ 03/24/2021

Meta-ViterbiNet: Online Meta-Learned Viterbi Equalization for Non-Stationary Channels

Deep neural networks (DNNs) based digital receivers can potentially oper...

0 Tomer Raviv, et al. ∙

∙ 09/05/2020

Deep Ensemble of Weighted Viterbi Decoders for Tail-Biting Convolutional Codes

Tail-biting convolutional codes extend the classical zero-termination co...

0 Tomer Raviv, et al. ∙

∙ 02/06/2020

perm2vec: Graph Permutation Selection for Decoding of Error Correction Codes using Self-Attention

Error correction codes are integral part of communication applications, ...

0 Nir Raviv, et al. ∙

∙ 01/17/2020

Data-Driven Ensembles for Deep and Hard-Decision Hybrid Decoding

Ensemble models are widely used to solve complex tasks by their decompos...

0 Tomer Raviv, et al. ∙

∙ 06/06/2019

Active Deep Decoding of Linear Codes

High quality data is essential in deep learning to train a robust model....

0 Ishay Be'ery, et al. ∙

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