Latest Research in Information Theory

Top Research Topics in Information Theory

• Distributed, Parallel, and Cluster Computing — 12 papers
• Hardware Architecture — 11 papers
• Information Theory — 4 papers
• Machine Learning — 3 papers
• Signal Processing — 3 papers
• Scientific Computing and Data Management — 2 papers
• Advanced Neural Network Applications — 2 papers
• Adversarial Robustness in Machine Learning — 1 papers
• Multimedia — 1 papers
• Programming Languages — 1 papers

Highest-Cited Papers

1. Comparative Analysis of Classical Machine Learning Vs. Deep Learning for Resource-Constrained Edge Devices
2. SemABR: Measuring Video Semantic Fidelity with Multimodal LLMs for Adaptive Bitrate Streaming
3. MeshKV: A Network-on-Chip KV Cache Fabric for Scalable Transformer Decoding Accelerators
4. Automated Instruction Encoding Synthesis for Modern GPU ISA Compression
5. Splyce: SIMD Vectorization of Sparse Coiteration
6. Source Entropy-Guided Adaptive Transmission for Communication-Driven Multi-View Sensing
7. PUE is blind to the schedule: energy and carbon trade-offs of GPU training workloads in a high-altitude AI data centre
8. AeroLat: Channel-Aware Latent Space Semantic Communication for Decentralized UAV Swarms
9. FlashGPU-sim: Enabling GPU Modeling for Modern Architectures and AI Workloads
10. An Algorithm-to-Contract Framework without Demand Queries
11. RTLScout: Joint Agentic Code and Synthesis Optimization for Efficient Digital Circuits
12. MANE: A Multi-Path Adaptive Network for Edge Onloading of Deep Neural Networks
13. Zarr-Cesium: Browser-Native Visualisation of Terabyte-Scale Multidimensional Scientific Data Without Backend Infrastructure
14. Unleashing the Power of Equality Saturation for Tensor Program Superoptimization
15. Phase-Decoupled, Model-Calibrated Power Control for Disaggregated LLM Serving
16. Taming Bitwise Behavior in GPU Kernels with Tensor Core: Black-Box Reconstruction, Compiler Enforcement, and Static Verification
17. Entwine: Coordinating Tiled Computation and Fine-Grained Communication across GPUs
18. I/O Lower-Bound Theory and Reinforcement Learning for Efficient Neural Network Inference Optimization
19. From Semantic to Token Communication: The Next Paradigm for Large-Model-Driven 6G Intelligent Connectivity
20. Ozaki 2.5: Engineering the Deconstruction Path of fp64-Emulated Dense Matrix Multiplication on FP8 Tensor Cores