An Effective Information Theoretic Framework for Channel Pruning
Fuente:
arXiv
Guardado en:
| Autores principales: | Chen, Yihao, Wang, Zefang |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Context Channel Capacity: An Information-Theoretic Framework for Understanding Catastrophic Forgetting
por: Cheng, Ran
Publicado: (2026)
por: Cheng, Ran
Publicado: (2026)
Fairness Overfitting in Machine Learning: An Information-Theoretic Perspective
por: Laakom, Firas, et al.
Publicado: (2025)
por: Laakom, Firas, et al.
Publicado: (2025)
An Information-Theoretic Criterion for Efficient Data Synthesis
por: Li, Hanyu, et al.
Publicado: (2026)
por: Li, Hanyu, et al.
Publicado: (2026)
Machine Unlearning via Information Theoretic Regularization
por: Xu, Shizhou, et al.
Publicado: (2025)
por: Xu, Shizhou, et al.
Publicado: (2025)
Information-Theoretic State Variable Selection for Reinforcement Learning
por: Westphal, Charles, et al.
Publicado: (2024)
por: Westphal, Charles, et al.
Publicado: (2024)
A General Error-Theoretical Analysis Framework for Constructing Compression Strategies
por: Zhang, Boyang, et al.
Publicado: (2025)
por: Zhang, Boyang, et al.
Publicado: (2025)
Uncertainty Quantification and Data Efficiency in AI: An Information-Theoretic Perspective
por: Simeone, Osvaldo, et al.
Publicado: (2025)
por: Simeone, Osvaldo, et al.
Publicado: (2025)
Probing the Information Theoretical Roots of Spatial Dependence Measures
por: Wang, Zhangyu, et al.
Publicado: (2024)
por: Wang, Zhangyu, et al.
Publicado: (2024)
Towards Efficient VLMs: Information-Theoretic Driven Compression via Adaptive Structural Pruning
por: Xu, Zhaoqi, et al.
Publicado: (2025)
por: Xu, Zhaoqi, et al.
Publicado: (2025)
The Causal Description Gap: Information-Theoretic Separations Across Pearl's Hierarchy
por: Emadi, Seyed Morteza
Publicado: (2026)
por: Emadi, Seyed Morteza
Publicado: (2026)
Rethinking KV Cache Eviction via a Unified Information-Theoretic Objective
por: Yang, Jiaming, et al.
Publicado: (2026)
por: Yang, Jiaming, et al.
Publicado: (2026)
Neural Networks Learn Generic Multi-Index Models Near Information-Theoretic Limit
por: Zhang, Bohan, et al.
Publicado: (2025)
por: Zhang, Bohan, et al.
Publicado: (2025)
Broadcast Channel Cooperative Gain: An Operational Interpretation of Partial Information Decomposition
por: Tian, Chao, et al.
Publicado: (2025)
por: Tian, Chao, et al.
Publicado: (2025)
Information-Theoretic Policy Pre-Training with Empowerment
por: Schneider, Moritz, et al.
Publicado: (2025)
por: Schneider, Moritz, et al.
Publicado: (2025)
A Novel Double Pruning method for Imbalanced Data using Information Entropy and Roulette Wheel Selection for Breast Cancer Diagnosis
por: Bacha, Soufiane, et al.
Publicado: (2025)
por: Bacha, Soufiane, et al.
Publicado: (2025)
On the Fragility of AI-Based Channel Decoders under Small Channel Perturbations
por: Lei, Haoyu, et al.
Publicado: (2026)
por: Lei, Haoyu, et al.
Publicado: (2026)
An Information Theoretic Perspective on Agentic System Design
por: He, Shizhe, et al.
Publicado: (2025)
por: He, Shizhe, et al.
Publicado: (2025)
Neural Polar Decoders for Deletion Channels
por: Aharoni, Ziv, et al.
Publicado: (2025)
por: Aharoni, Ziv, et al.
Publicado: (2025)
Continual Learning-Aided Super-Resolution Scheme for Channel Reconstruction and Generalization in OFDM Systems
por: Chen, Jianqiao, et al.
Publicado: (2025)
por: Chen, Jianqiao, et al.
Publicado: (2025)
Neural Channel Knowledge Map Assisted Scheduling Optimization of Active IRSs in Multi-User Systems
por: Chen, Xintong, et al.
Publicado: (2025)
por: Chen, Xintong, et al.
Publicado: (2025)
LLMs as Noisy Channels: A Shannon Perspective on Model Capacity and Scaling Laws
por: Ouyang, Xu, et al.
Publicado: (2026)
por: Ouyang, Xu, et al.
Publicado: (2026)
Two Birds with One Stone: Multi-Task Semantic Communications Systems over Relay Channel
por: Cao, Yujie, et al.
Publicado: (2024)
por: Cao, Yujie, et al.
Publicado: (2024)
MambaJSCC: Adaptive Deep Joint Source-Channel Coding with Generalized State Space Model
por: Wu, Tong, et al.
Publicado: (2024)
por: Wu, Tong, et al.
Publicado: (2024)
Lost and Found in Translation: Variational Diagnostics for Neural Codebook Channels
por: Hayashi, Yusuke
Publicado: (2026)
por: Hayashi, Yusuke
Publicado: (2026)
Learning What Matters: Adaptive Information-Theoretic Objectives for Robot Exploration
por: Yu, Youwei, et al.
Publicado: (2026)
por: Yu, Youwei, et al.
Publicado: (2026)
A Communication-Theoretic Framework for LLM Agents: Cost-Aware Adaptive Reliability
por: Omidvar, Hamed, et al.
Publicado: (2026)
por: Omidvar, Hamed, et al.
Publicado: (2026)
The Agent Capability Problem: Predicting Solvability Through Information-Theoretic Bounds
por: Lutati, Shahar
Publicado: (2025)
por: Lutati, Shahar
Publicado: (2025)
Deep Randomized Distributed Function Computation (DeepRDFC): Neural Distributed Channel Simulation
por: Bergström, Didrik, et al.
Publicado: (2026)
por: Bergström, Didrik, et al.
Publicado: (2026)
Measuring Uncertainty in Transformer Circuits with Effective Information Consistency
por: Krasnovsky, Anatoly A.
Publicado: (2025)
por: Krasnovsky, Anatoly A.
Publicado: (2025)
Statistical Channel Fingerprint Construction for Massive MIMO: A Unified Tensor Learning Framework
por: Jin, Zhenzhou, et al.
Publicado: (2026)
por: Jin, Zhenzhou, et al.
Publicado: (2026)
Neural Estimation of Pairwise Mutual Information in Masked Discrete Sequence Models
por: Sharma, Jai, et al.
Publicado: (2026)
por: Sharma, Jai, et al.
Publicado: (2026)
An Information Criterion for Controlled Disentanglement of Multimodal Data
por: Wang, Chenyu, et al.
Publicado: (2024)
por: Wang, Chenyu, et al.
Publicado: (2024)
A General Deep Learning Framework for Wireless Resource Allocation under Discrete Constraints
por: Wang, Yikun, et al.
Publicado: (2026)
por: Wang, Yikun, et al.
Publicado: (2026)
A Rational Account of Categorization Based on Information Theory
por: MacLellan, Christopher J., et al.
Publicado: (2026)
por: MacLellan, Christopher J., et al.
Publicado: (2026)
GeoIB: Geometry-Aware Information Bottleneck via Statistical-Manifold Compression
por: Wang, Weiqi, et al.
Publicado: (2026)
por: Wang, Weiqi, et al.
Publicado: (2026)
Does Privacy Always Harm Fairness? Data-Dependent Trade-offs via Chernoff Information Neural Estimation
por: Nichani, Arjun, et al.
Publicado: (2026)
por: Nichani, Arjun, et al.
Publicado: (2026)
Laplace Sample Information: Data Informativeness Through a Bayesian Lens
por: Kaiser, Johannes, et al.
Publicado: (2025)
por: Kaiser, Johannes, et al.
Publicado: (2025)
Generalization and Informativeness of Conformal Prediction
por: Zecchin, Matteo, et al.
Publicado: (2024)
por: Zecchin, Matteo, et al.
Publicado: (2024)
On the Feasibility of Fidelity$^-$ for Graph Pruning
por: Shin, Yong-Min, et al.
Publicado: (2024)
por: Shin, Yong-Min, et al.
Publicado: (2024)
Interpretable Diffusion via Information Decomposition
por: Kong, Xianghao, et al.
Publicado: (2023)
por: Kong, Xianghao, et al.
Publicado: (2023)
Ejemplares similares
-
Context Channel Capacity: An Information-Theoretic Framework for Understanding Catastrophic Forgetting
por: Cheng, Ran
Publicado: (2026) -
Fairness Overfitting in Machine Learning: An Information-Theoretic Perspective
por: Laakom, Firas, et al.
Publicado: (2025) -
An Information-Theoretic Criterion for Efficient Data Synthesis
por: Li, Hanyu, et al.
Publicado: (2026) -
Machine Unlearning via Information Theoretic Regularization
por: Xu, Shizhou, et al.
Publicado: (2025) -
Information-Theoretic State Variable Selection for Reinforcement Learning
por: Westphal, Charles, et al.
Publicado: (2024)