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ORCIDTomer Raviv
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2020 – today
- 2024
[j6]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): 163-169 (2024)- [c9]Tomer Raviv, Alon Goldmann, Ofek Vayner, Yair Be'ery, Nir Shlezinger:
CRC-Aided Learned Ensembles of Belief-Propagation Polar Decoders. ICASSP 2024: 8856-8860 - [c8]Nicole Uzlaner, Tomer Raviv, Nir Shlezinger, Koby Todros:
Concept Drift Detection for Deep Learning Aided Receivers in Dynamic Channels. SPAWC 2024: 371-375 - [c7]Tomer Raviv, Seongjoon Kang, Marco Mezzavilla, Sundeep Rangan, Nir Shlezinger:
Multi-Frequency Upper Mid-Band Localization. SPAWC 2024: 736-740 - [i14]Luca Schmid, Tomer Raviv, Nir Shlezinger, Laurent Schmalen:
Blind Channel Estimation and Joint Symbol Detection with Data-Driven Factor Graphs. CoRR abs/2401.12627 (2024) - [i13]Nicole Uzlaner, Tomer Raviv, Nir Shlezinger, Koby Todros:
Asynchronous Online Adaptation via Modular Drift Detection for Deep Receivers. CoRR abs/2407.09134 (2024) - [i12]Luca Schmid, Tomer Raviv, Nir Shlezinger, Laurent Schmalen:
Optimization of Iterative Blind Detection based on Expectation Maximization and Belief Propagation. CoRR abs/2408.02312 (2024) - [i11]Tomer Raviv, Nir Shlezinger:
Modular Hypernetworks for Scalable and Adaptive Deep MIMO Receivers. CoRR abs/2408.11920 (2024) - 2023
- [j5]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): 6415-6431 (2023) - [j4]Tomer Raviv, Nir Shlezinger:
Data Augmentation for Deep Receivers. IEEE Trans. Wirel. Commun. 22(11): 8259-8274 (2023) - [c6]Tomer Raviv, Sangwoo Park, Osvaldo Simeone, Nir Shlezinger:
Modular Model-Based Bayesian Learning for Uncertainty-Aware and Reliable Deep MIMO Receivers. ICC Workshops 2023: 1032-1037 - [i10]Tomer Raviv, Alon Goldmann, Ofek Vayner, Yair Be'ery, Nir Shlezinger:
CRC-Aided Learned Ensembles of Belief-Propagation Polar Decoders. CoRR abs/2301.06060 (2023) - [i9]Tomer Raviv, Sangwoo Park, Osvaldo Simeone, Nir Shlezinger:
Modular Model-Based Bayesian Learning for Uncertainty-Aware and Reliable Deep MIMO Receivers. CoRR abs/2302.02436 (2023) - [i8]Tomer Raviv, Sangwoo Park, Osvaldo Simeone, Yonina C. Eldar, Nir Shlezinger:
Adaptive and Flexible Model-Based AI for Deep Receivers in Dynamic Channels. CoRR abs/2305.07309 (2023) - 2022
- [c5]Ron Aharon Finish, Yoav Cohen, Tomer Raviv, Nir Shlezinger:
Symbol-Level Online Channel Tracking for Deep Receivers. ICASSP 2022: 8897-8901 - [c4]Tomer Raviv, Nir Shlezinger:
Adaptive Data Augmentation for Deep Receivers. SPAWC 2022: 1-5 - [i7]Tomer Raviv, Sangwoo Park, Osvaldo Simeone, Yonina C. Eldar, Nir Shlezinger:
Online Meta-Learning For Hybrid Model-Based Deep Receivers. CoRR abs/2203.14359 (2022) - [i6]Tomer Raviv, Nir Shlezinger:
Data Augmentation for Deep Receivers. CoRR abs/2209.01362 (2022) - 2021
- [j3]Tomer Raviv, Asaf Schwartz, Yair Be'ery:
Deep Ensemble of Weighted Viterbi Decoders for Tail-Biting Convolutional Codes. Entropy 23(1): 93 (2021) - [j2]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): 79-88 (2021) - [c3]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: 1-6 - [i5]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 abs/2103.13483 (2021) - 2020
- [j1]Ishay Be'ery, Nir Raviv, Tomer Raviv, Yair Be'ery:
Active Deep Decoding of Linear Codes. IEEE Trans. Commun. 68(2): 728-736 (2020) - [c2]Tomer Raviv, Nir Raviv, Yair Be'ery:
Data-Driven Ensembles for Deep and Hard-Decision Hybrid Decoding. ISIT 2020: 321-326 - [c1]Tomer Raviv, Asaf Schwartz, Yair Be'ery:
Deep Ensemble of Weighted Viterbi Decoders for Tail-Biting Convolutional Codes. ITW 2020: 1-5 - [i4]Tomer Raviv, Nir Raviv, Yair Be'ery:
Data-Driven Ensembles for Deep and Hard-Decision Hybrid Decoding. CoRR abs/2001.06247 (2020) - [i3]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 abs/2002.02315 (2020) - [i2]Tomer Raviv, Asaf Schwartz, Yair Be'ery:
Deep Ensemble of Weighted Viterbi Decoders for Tail-Biting Convolutional Codes. CoRR abs/2009.02591 (2020)
2010 – 2019
- 2019
- [i1]Ishay Be'ery, Nir Raviv, Tomer Raviv, Yair Be'ery:
Active Deep Decoding of Linear Codes. CoRR abs/1906.02778 (2019)
Coauthor Index
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