Awesome Information Theory

Key papers

• A Stationarity-and-Coupling Criterion for Training-Free Time-Lagged Spectral Embeddings of Multivariate Time Series (2026)
  Siddharth Pal et al.
  4.39
• HiRo: A Compact Four-Directional Hierarchical Reservoir Token-Mixer for Efficient Image Classification (2026)
  Md Farhadul Islam et al.
  4.39
• Deep Learning-Based Channel Extrapolation for Dual-Band Massive MIMO Systems (2026)
  Qikai Xiao et al.
  2.00
• VeriCache: Turning Lossy KV Cache into Lossless LLM Inference (2026)
  Jiayi Yao et al.
  2.00
• HAARES Half-Split Residual Basis Routing for Deep Transformers (2026)
  Kehan Wang
  2.00
• Belief-Space Control for Personalized Cancer Treatment via Active Inference (2026)
  Deniz Sargun et al.
  2.00
• NS-RGS: Newton-Schulz based Riemannian gradient method for orthogonal group synchronization (2026)
  Haiyang Peng et al.
  1.89
• A Graph Foundation Model for Wireless Resource Allocation (2026)
  Yucheng Sheng et al.
  1.89
• Generative Model-Aided Continual Learning for CSI Feedback in FDD mMIMO-OFDM Systems (2025)
  Guijun Liu et al.
  1.61
• Closing the Generalization Gap in Parameter-efficient Federated Edge Learning (2025)
  Xinnong Du and Zhonghao Lyu and Xiaowen Cao and Chunyang Wen and Shuguang Cui and Jie Xu
  1.61
• Distributed Information Bottleneck Theory for Multi-Modal Task-Aware Semantic Communication (2025)
  Yujie Zhou et al.
  1.56
• Single-Snapshot Gridless 2D-DoA Estimation for UCAs: A Joint Optimization Approach (2025)
  Salar Nouri
  1.56
• Multi-head Transformers Provably Learn Symbolic Multi-step Reasoning via Gradient Descent (2025)
  Tong Yang et al.
  1.44
• CSGO: Generalized Optimization for Cold Start in Wireless Collaborative Edge LLM Systems (2025)
  Xuran Liu et al.
  1.44
• On the Limitations of Ray-Tracing for Learning-Based RF Tasks in Urban Environments (2025)
  Armen Manukyan et al.
  1.39
• Goal-oriented Transmission Scheduling: Structure-guided DRL with a Unified Dual On-policy and Off-policy Approach (2025)
  Jiazheng Chen and Wanchun Liu
  1.06
• Cooperative and Collaborative Multi-Task Semantic Communication for Distributed Sources (2024)
  Ahmad Halimi Razlighi et al.
  0.94
• Straggler Mitigation in Distributed Optimization Through Data Encoding (2017)
  Can Karakus et al.
  —
• Gradient Coding with Clustering and Multi-message Communication (2019)
  Emre Ozfatura and Deniz Gunduz and Sennur Ulukus
  —
• LAGC: Lazily Aggregated Gradient Coding for Straggler-Tolerant and Communication-Efficient Distributed Learning (2019)
  Jingjing Zhang and Osvaldo Simeone
  —
• Energy-Efficient Processing and Robust Wireless Cooperative Transmission for Edge Inference (2019)
  Kai Yang et al.
  —
• Gradient Coding with Dynamic Clustering for Straggler Mitigation (2020)
  Baturalp Buyukates and Emre Ozfatura and Sennur Ulukus and Deniz Gunduz
  —
• Coded Computation across Shared Heterogeneous Workers with Communication Delay (2021)
  Yuxuan Sun et al.
  —
• Deep Reinforcement Learning for mmWave Initial Beam Alignment (2023)
  Daniel Tandler et al.
  —
• Successive Refinement in Large-Scale Computation: Advancing Model Inference Applications (2024)
  Homa Esfahanizadeh et al.
  —
• Adaptive Semantic Token Selection for AI-native Goal-oriented Communications (2024)
  Alessio Devoto et al.
  —
• Tackling Distribution Shifts in Task-Oriented Communication with Information Bottleneck (2024)
  Hongru Li et al.
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• Data Similarity-Based One-Shot Clustering for Multi-Task Hierarchical Federated Learning (2024)
  Abdulmoneam Ali et al.
  —