Tomer Raviv

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 25

Top Topics

Drift Detection

Bayesian Learning

Convolutional Codes

Top Venues

IEEE Trans. Wirel. Commun.

Publications

Tomer Raviv, Sangwoo Park, Osvaldo Simeone, Yonina C. Eldar, Nir Shlezinger
Adaptive and Flexible Model-Based AI for Deep Receivers in Dynamic Channels. IEEE Wirel. Commun. 31 (4) (2024)
Nicole Uzlaner, Tomer Raviv, Nir Shlezinger, Koby Todros
Asynchronous Online Adaptation via Modular Drift Detection for Deep Receivers. CoRR (2024)
Tomer Raviv, Alon Goldmann, Ofek Vayner, Yair Be'ery, Nir Shlezinger
CRC-Aided Learned Ensembles of Belief-Propagation Polar Decoders. ICASSP (2024)
Luca Schmid, Tomer Raviv, Nir Shlezinger, Laurent Schmalen
Blind Channel Estimation and Joint Symbol Detection with Data-Driven Factor Graphs. CoRR (2024)
Tomer Raviv, Sangwoo Park, Osvaldo Simeone, Nir Shlezinger
Modular Model-Based Bayesian Learning for Uncertainty-Aware and Reliable Deep MIMO Receivers. ICC Workshops (2023)
Tomer Raviv, Alon Goldmann, Ofek Vayner, Yair Be'ery, Nir Shlezinger
CRC-Aided Learned Ensembles of Belief-Propagation Polar Decoders. CoRR (2023)
Tomer Raviv, Sangwoo Park, Osvaldo Simeone, Yonina C. Eldar, Nir Shlezinger
Adaptive and Flexible Model-Based AI for Deep Receivers in Dynamic Channels. CoRR (2023)
Tomer Raviv, Sangwoo Park, Osvaldo Simeone, Nir Shlezinger
Modular Model-Based Bayesian Learning for Uncertainty-Aware and Reliable Deep MIMO Receivers. CoRR (2023)
Tomer Raviv, Nir Shlezinger
Data Augmentation for Deep Receivers. IEEE Trans. Wirel. Commun. 22 (11) (2023)
Tomer Raviv, Sangwoo Park, Osvaldo Simeone, Yonina C. Eldar, Nir Shlezinger
Online Meta-Learning for Hybrid Model-Based Deep Receivers. IEEE Trans. Wirel. Commun. 22 (10) (2023)
Tomer Raviv, Sangwoo Park, Osvaldo Simeone, Yonina C. Eldar, Nir Shlezinger
Online Meta-Learning For Hybrid Model-Based Deep Receivers. CoRR (2022)
Tomer Raviv, Nir Shlezinger
Data Augmentation for Deep Receivers. CoRR (2022)
Tomer Raviv, Nir Shlezinger
Adaptive Data Augmentation for Deep Receivers. SPAWC (2022)
Ron Aharon Finish, Yoav Cohen, Tomer Raviv, Nir Shlezinger
Symbol-Level Online Channel Tracking for Deep Receivers. ICASSP (2022)
Tomer Raviv, Asaf Schwartz, Yair Be'ery
Deep Ensemble of Weighted Viterbi Decoders for Tail-Biting Convolutional Codes. Entropy 23 (1) (2021)
Tomer Raviv, Sangwoo Park, Nir Shlezinger, Osvaldo Simeone, Yonina C. Eldar, Joonhyuk Kang
Meta-ViterbiNet: Online Meta-Learned Viterbi Equalization for Non-Stationary Channels. CoRR (2021)
Avi Caciularu, Nir Raviv, Tomer Raviv, Jacob Goldberger, Yair Be'ery
perm2vec: Attentive Graph Permutation Selection for Decoding of Error Correction Codes. IEEE J. Sel. Areas Commun. 39 (1) (2021)
Tomer Raviv, Sangwoo Park, Nir Shlezinger, Osvaldo Simeone, Yonina C. Eldar, Joonhyuk Kang
Meta-ViterbiNet: Online Meta-Learned Viterbi Equalization for Non-Stationary Channels. ICC Workshops (2021)
Tomer Raviv, Nir Raviv, Yair Be'ery
Data-Driven Ensembles for Deep and Hard-Decision Hybrid Decoding. CoRR (2020)
Tomer Raviv, Asaf Schwartz, Yair Be'ery
Deep Ensemble of Weighted Viterbi Decoders for Tail-Biting Convolutional Codes. ITW (2020)
Nir Raviv, Avi Caciularu, Tomer Raviv, Jacob Goldberger, Yair Be'ery
perm2vec: Graph Permutation Selection for Decoding of Error Correction Codes using Self-Attention. CoRR (2020)
Tomer Raviv, Asaf Schwartz, Yair Be'ery
Deep Ensemble of Weighted Viterbi Decoders for Tail-Biting Convolutional Codes. CoRR (2020)
Tomer Raviv, Nir Raviv, Yair Be'ery
Data-Driven Ensembles for Deep and Hard-Decision Hybrid Decoding. ISIT (2020)
Ishay Be'ery, Nir Raviv, Tomer Raviv, Yair Be'ery
Active Deep Decoding of Linear Codes. IEEE Trans. Commun. 68 (2) (2020)
Ishay Be'ery, Nir Raviv, Tomer Raviv, Yair Be'ery
Active Deep Decoding of Linear Codes. CoRR (2019)