Cover Image

DeepPolar: Inventing Nonlinear Large-Kernel Polar Codes via Deep Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Hebbar, S Ashwin, Ankireddy, Sravan Kumar, Kim, Hyeji, Oh, Sewoong, Viswanath, Pramod
Format:	Preprint
Published:	2024
Subjects:	Information Theory Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Deep-OFDM: Neural Modulation for High Mobility
by: Hebbar, S. Ashwin, et al.
Published: (2025)

Nested Construction of Polar Codes via Transformers
by: Ankireddy, Sravan Kumar, et al.
Published: (2024)

LightCode: Light Analytical and Neural Codes for Channels with Feedback
by: Ankireddy, Sravan Kumar, et al.
Published: (2024)

Residual Diffusion Models for Variable-Rate Joint Source Channel Coding of MIMO CSI
by: Ankireddy, Sravan Kumar, et al.
Published: (2025)

Code Rate Optimization via Neural Polar Decoders
by: Aharoni, Ziv, et al.
Published: (2025)

Neural Distributed Source Coding
by: Whang, Jay, et al.
Published: (2021)

A Modified Q-Learning Algorithm for Rate-Profiling of Polarization Adjusted Convolutional (PAC) Codes
by: Mishra, Samir Kumar, et al.
Published: (2021)

DeepPolar+: Breaking the BER-BLER Trade-off with Self-Attention and SMART (SNR-MAtched Redundancy Technique) decoding
by: Srivastava, Shubham, et al.
Published: (2025)

Training AI to be Loyal
by: Oh, Sewoong, et al.
Published: (2025)

Open Deep Search: Democratizing Search with Open-source Reasoning Agents
by: Alzubi, Salaheddin, et al.
Published: (2025)

Task-aware Distributed Source Coding under Dynamic Bandwidth
by: Li, Po-han, et al.
Published: (2023)

Rate-Matching Deep Polar Codes via Polar Coded Extension
by: Choi, Geon, et al.
Published: (2025)

Local to Global: Learning Dynamics and Effect of Initialization for Transformers
by: Makkuva, Ashok Vardhan, et al.
Published: (2024)

Deep Learning-Based Detection for Marker Codes over Insertion and Deletion Channels
by: Ma, Guochen, et al.
Published: (2024)

ProductAE: Toward Deep Learning Driven Error-Correction Codes of Large Dimensions
by: Jamali, Mohammad Vahid, et al.
Published: (2023)

Decoding for Punctured Convolutional and Turbo Codes: A Deep Learning Solution for Protocols Compliance
by: Yan, Yongli, et al.
Published: (2025)

Generating High Dimensional User-Specific Wireless Channels using Diffusion Models
by: Lee, Taekyun, et al.
Published: (2024)

Neural Polar Decoders for DNA Data Storage
by: Aharoni, Ziv, et al.
Published: (2025)

Dynamic Tokenization via Reinforcement Patching: End-to-end Training and Zero-shot Transfer
by: Wu, Yulun, et al.
Published: (2026)

Robust Millimeter Beamforming via Self-Supervised Hybrid Deep Learning
by: Zhu, Fenghao, et al.
Published: (2023)

Robust Communication and Computation using Deep Learning via Joint Uncertainty Injection
by: Reifert, Robert-Jeron, et al.
Published: (2024)

Attention with Markov: A Framework for Principled Analysis of Transformers via Markov Chains
by: Makkuva, Ashok Vardhan, et al.
Published: (2024)

Selectively Precoded Polar Codes
by: Mishra, Samir Kumar, et al.
Published: (2020)

Application of Deep Learning in Biological Data Compression
by: Zou, Chunyu
Published: (2025)

Are Robust LLM Fingerprints Adversarially Robust?
by: Nasery, Anshul, et al.
Published: (2025)

A Survey of Deep Learning Architectures for Intelligent Reflecting Surfaces
by: Elbir, Ahmet M., et al.
Published: (2020)

Deep Learning and Matrix Completion-aided IoT Network Localization in the Outlier Scenarios
by: Kim, Sunwoo
Published: (2025)

Neural Polar Decoders for Deletion Channels
by: Aharoni, Ziv, et al.
Published: (2025)

A Generalized Information Bottleneck Theory of Deep Learning
by: Westphal, Charles, et al.
Published: (2025)

Continual Deep Reinforcement Learning for Decentralized Satellite Routing
by: Lozano-Cuadra, Federico, et al.
Published: (2024)

Transformers Provably Learn Directed Acyclic Graphs via Kernel-Guided Mutual Information
by: Cheng, Yuan, et al.
Published: (2025)

Scalable Fingerprinting of Large Language Models
by: Nasery, Anshul, et al.
Published: (2025)

Fundamental Limits of Prompt Compression: A Rate-Distortion Framework for Black-Box Language Models
by: Nagle, Alliot, et al.
Published: (2024)

Multi-Agent Deep Reinforcement Learning for Distributed Satellite Routing
by: Lozano-Cuadra, Federico, et al.
Published: (2024)

K-Deep Simplex: Deep Manifold Learning via Local Dictionaries
by: Tankala, Pranay, et al.
Published: (2020)

Learning to Compress: Local Rank and Information Compression in Deep Neural Networks
by: Patel, Niket, et al.
Published: (2024)

Koopman-Based Generalization of Deep Reinforcement Learning With Application to Wireless Communications
by: Termehchi, Atefeh, et al.
Published: (2025)

Federated Learning via Lattice Joint Source-Channel Coding
by: Azimi-Abarghouyi, Seyed Mohammad, et al.
Published: (2024)

Maximizing the Promptness of Metaverse Systems using Edge Computing by Deep Reinforcement Learning
by: Thi-Thanh, Tam Ninh, et al.
Published: (2025)

Deep Dict: Deep Learning-based Lossy Time Series Compressor for IoT Data
by: Liu, Jinxin, et al.
Published: (2024)