Data-Driven Ensembles for Deep and Hard-Decision Hybrid Decoding. - Tomer Raviv; Nir Raviv; Yair Be'ery (ISIT, 2020)

perm2vec: Graph Permutation Selection for Decoding of Error Correction Codes using Self-Attention. - Nir Raviv; Avi Caciularu; Tomer Raviv; Jacob Goldberger; Yair Be'ery (CoRR, 2020)

Active Deep Decoding of Linear Codes. - Ishay Be'ery; Nir Raviv; Tomer Raviv; Yair Be'ery (IEEE Trans. Commun., 2020)

Meta-ViterbiNet: Online Meta-Learned Viterbi Equalization for Non-Stationary Channels. - Tomer Raviv; Sangwoo Park 002; Nir Shlezinger; Osvaldo Simeone; Yonina C. Eldar; Joonhyuk Kang (ICC Workshops, 2021)

Deep Ensemble of Weighted Viterbi Decoders for Tail-Biting Convolutional Codes. - Tomer Raviv; Asaf Schwartz; Yair Be'ery (Entropy, 2021)

perm2vec: Attentive Graph Permutation Selection for Decoding of Error Correction Codes. - Avi Caciularu; Nir Raviv; Tomer Raviv; Jacob Goldberger; Yair Be'ery (IEEE J. Sel. Areas Commun., 2021)

Symbol-Level Online Channel Tracking for Deep Receivers. - Ron Aharon Finish; Yoav Cohen; Tomer Raviv; Nir Shlezinger (ICASSP, 2022)

Adaptive Data Augmentation for Deep Receivers. - Tomer Raviv; Nir Shlezinger (SPAWC, 2022)

Modular Model-Based Bayesian Learning for Uncertainty-Aware and Reliable Deep MIMO Receivers. - Tomer Raviv; Sangwoo Park 002; Osvaldo Simeone; Nir Shlezinger (ICC Workshops, 2023)

Online Meta-Learning for Hybrid Model-Based Deep Receivers. - Tomer Raviv; Sangwoo Park 002; Osvaldo Simeone; Yonina C. Eldar; Nir Shlezinger (IEEE Trans. Wirel. Commun., 2023)

Data Augmentation for Deep Receivers. - Tomer Raviv; Nir Shlezinger (IEEE Trans. Wirel. Commun., 2023)

Optimization of Iterative Blind Detection Based on Expectation Maximization and Belief Propagation. - Luca Schmid; Tomer Raviv; Nir Shlezinger; Laurent Schmalen (IEEECONF, 2024)

CRC-Aided Learned Ensembles of Belief-Propagation Polar Decoders. - Tomer Raviv; Alon Goldmann; Ofek Vayner; Yair Be'ery; Nir Shlezinger (ICASSP, 2024)

Multi-Frequency Upper Mid-Band Localization. - Tomer Raviv; Seongjoon Kang; Marco Mezzavilla; Sundeep Rangan; Nir Shlezinger (SPAWC, 2024)

Concept Drift Detection for Deep Learning Aided Receivers in Dynamic Channels. - Nicole Uzlaner; Tomer Raviv; Nir Shlezinger; Koby Todros (SPAWC, 2024)

Blind Channel Estimation and Joint Symbol Detection with Data-Driven Factor Graphs. - Luca Schmid; Tomer Raviv; Nir Shlezinger; Laurent Schmalen (CoRR, 2024)

Modular Hypernetworks for Scalable and Adaptive Deep MIMO Receivers. - Tomer Raviv; Nir Shlezinger (CoRR, 2024)

Adaptive and Flexible Model-Based AI for Deep Receivers in Dynamic Channels. - Tomer Raviv; Sangwoo Park 002; Osvaldo Simeone; Yonina C. Eldar; Nir Shlezinger (IEEE Wirel. Commun., 2024)

Asynchronous Online Adaptation via Modular Drift Detection for Deep Receivers. - Nicole Uzlaner; Tomer Raviv; Nir Shlezinger; Koby Todros (IEEE Trans. Wirel. Commun., 2025)

In-Context Learning for Gradient-Free Receiver Adaptation: Principles, Applications, and Theory. - Matteo Zecchin; Tomer Raviv; Dileep Kalathil; Krishna Narayanan 001; Nir Shlezinger; Osvaldo Simeone (CoRR, 2025)