惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

MyScale Blog
MyScale Blog
Apple Machine Learning Research
Apple Machine Learning Research
H
Help Net Security
雷峰网
雷峰网
V
Visual Studio Blog
G
Google Developers Blog
Microsoft Azure Blog
Microsoft Azure Blog
Hugging Face - Blog
Hugging Face - Blog
爱范儿
爱范儿
IT之家
IT之家
Engineering at Meta
Engineering at Meta
Microsoft Security Blog
Microsoft Security Blog
aimingoo的专栏
aimingoo的专栏
大猫的无限游戏
大猫的无限游戏
M
MIT News - Artificial intelligence
月光博客
月光博客
A
About on SuperTechFans
B
Blog RSS Feed
奇客Solidot–传递最新科技情报
奇客Solidot–传递最新科技情报
The GitHub Blog
The GitHub Blog
N
Netflix TechBlog - Medium
J
Java Code Geeks
云风的 BLOG
云风的 BLOG
Blog — PlanetScale
Blog — PlanetScale

cs.IT updates on arXiv.org

Theoretical Limits of Language Model Alignment $f$-Divergence Regularized RLHF: Two Tales of Sampling and Unified Analyses A Unified Measure-Theoretic View of Diffusion, Score-Based, and Flow Matching Generative Models When Can Voting Help, Hurt, or Change Course? Exact Structure of Binary Test-Time Aggregation When Semantic Communication Meets Queueing: Cross-Layer Latency and Task Fidelity Optimization Convexity in Disguise: A Theoretical Framework for Nonconvex Low-Rank Matrix Estimation Conditional Diffusion Under Linear Constraints: Langevin Mixing and Information-Theoretic Guarantees Sharp Capacity Thresholds in Linear Associative Memory: From Winner-Take-All to Listwise Retrieval Expert Routing for Communication-Efficient MoE via Finite Expert Banks Contextual Memory-Enhanced Source Coding for Low-SNR Communications Realizable Bayes-Consistency for General Metric Losses Leveraging Code Automorphisms for Improved Syndrome-Based Neural Decoding A Hierarchical Sampling Framework for bounding the Generalization Error of Federated Learning Dueling DDQN-Based Adaptive Multi-Objective Handover Optimization for LEO Satellite Networks The Causal Description Gap: Information-Theoretic Separations Across Pearl's Hierarchy Optimization of CV-QKD Under Practical Constraints Benchmarking Wireless Representations: High-Dimensional vs. Compressed Embeddings for Efficiency and Robustness Real-Time Text Transmission via LLM-Based Entropy Coding over Fixed-Rate Channels SwiftChannel: Algorithm-Hardware Co-Design for Deep Learning-Based 5G Channel Estimation Evolving Token Communication with Parametric Memory Network Remote Action Generation: Remote Control with Minimal Communication The (Marginal) Value of a Search Ad: An Online Causal Framework for Repeated Second-price Auctions Stabilizing Private LASSO under Heterogeneous Covariates via Anisotropic Objective Perturbation Linear-Readout Floors and Threshold Recovery in Computation in Superposition Soft Graph Diffusion Transformer for MIMO Detection Hierarchical Federated Learning for Networked AI: From Communication Saving to Architecture-Aware Design Exponential families from a single KL identity MIFair: A Mutual-Information Framework for Intersectionality and Multiclass Fairness Diffusion-OAMP for Joint Image Compression and Wireless Transmission Decoupled Descent: Exact Test Error Tracking Via Approximate Message Passing
Second 6G life Workshop on Post Shannon Theory
Yaning Zhao, Christian Deppe · 2024-08-05 · via cs.IT updates on arXiv.org

The one-day workshop, held prior to the "ZIF Workshop on Information Theory and Related Fields", provided an excellent opportunity for in-depth discussions on several topics within the field of post-Shannon theory. The agenda covered deterministic and randomized identification, focusing on various methods and algorithms for identifying data or signals deterministically and through randomized processes. It explored the theoretical foundations and practical applications of these techniques. The session on resources for increasing identification capacity examined the different resources and strategies that can be utilized to boost the capacity for identifying information. This included discussions on both hardware and software solutions, as well as innovative approaches to resource allocation and optimization. Participants delved into common randomness generation, essential for various cryptographic protocols and communication systems. The session highlighted recent advancements and practical implementations of common randomness in secure communications. The workshop concluded with a detailed look at the development and practical deployment of identification codes. Experts shared insights on code construction techniques, implementation challenges, and real-world applications in various communication systems. We extend our thanks to the esteemed speakers for their valuable contributions: Caspar von Lengerke, Wafa Labidi, Ilya Vorobyev, Johannes Rosenberger, Jonathan Huffmann, and Pau Colomer. Their presentations and insights significantly enriched the workshop. Additionally, we are grateful to all the participants whose active engagement, constructive comments, and stimulating discussions made the event a success. Your involvement was crucial in fostering a collaborative and intellectually vibrant environment.