Saved in:
| Main Author: | Polloreno, Anthony M. |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2601.07257 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Restrictions on Physical Stochastic Reservoir Computers
by: Polloreno, Anthony M.
Published: (2023)
by: Polloreno, Anthony M.
Published: (2023)
Learning Capacity: A Measure of the Effective Dimensionality of a Model
by: Chen, Daiwei, et al.
Published: (2023)
by: Chen, Daiwei, et al.
Published: (2023)
Maximal-Capacity Discrete Memoryless Channel Identification
by: Egger, Maximilian, et al.
Published: (2024)
by: Egger, Maximilian, et al.
Published: (2024)
The Conditional Regret-Capacity Theorem for Batch Universal Prediction
by: Bondaschi, Marco, et al.
Published: (2025)
by: Bondaschi, Marco, et al.
Published: (2025)
Capacity-Constrained Continual Learning
by: Wen, Zheng, et al.
Published: (2025)
by: Wen, Zheng, et al.
Published: (2025)
Sharp Capacity Thresholds in Linear Associative Memory: From Winner-Take-All to Listwise Retrieval
by: Barnfield, Nicholas, et al.
Published: (2026)
by: Barnfield, Nicholas, et al.
Published: (2026)
Time-Series JEPA for Predictive Remote Control under Capacity-Limited Networks
by: Girgis, Abanoub M., et al.
Published: (2024)
by: Girgis, Abanoub M., et al.
Published: (2024)
Optimal Information Combining for Multi-Agent Systems Using Adaptive Bias Learning
by: Alamouti, Siavash M., et al.
Published: (2025)
by: Alamouti, Siavash M., et al.
Published: (2025)
Personalized Federated Learning for Cellular VR: Online Learning and Dynamic Caching
by: Tharakan, Krishnendu S., et al.
Published: (2025)
by: Tharakan, Krishnendu S., et al.
Published: (2025)
Local to Global: Learning Dynamics and Effect of Initialization for Transformers
by: Makkuva, Ashok Vardhan, et al.
Published: (2024)
by: Makkuva, Ashok Vardhan, et al.
Published: (2024)
Data-Driven Estimation of Capacity Upper Bounds
by: Häger, Christian, et al.
Published: (2022)
by: Häger, Christian, et al.
Published: (2022)
Quantum-Enhanced Hybrid Reinforcement Learning Framework for Dynamic Path Planning in Autonomous Systems
by: Tomar, Sahil, et al.
Published: (2025)
by: Tomar, Sahil, et al.
Published: (2025)
On the Nonasymptotic Scaling Guarantee of Hyperparameter Estimation in Inhomogeneous, Weakly-Dependent Complex Network Dynamical Systems
by: Yu, Yi, et al.
Published: (2026)
by: Yu, Yi, et al.
Published: (2026)
Innovation: An Almost Characterization of Hallucination
by: Das, Nishant P., et al.
Published: (2026)
by: Das, Nishant P., et al.
Published: (2026)
Dual-Mind World Models: A General Framework for Learning in Dynamic Wireless Networks
by: Wang, Lingyi, et al.
Published: (2025)
by: Wang, Lingyi, et al.
Published: (2025)
Context Channel Capacity: An Information-Theoretic Framework for Understanding Catastrophic Forgetting
by: Cheng, Ran
Published: (2026)
by: Cheng, Ran
Published: (2026)
Maximizing the Promptness of Metaverse Systems using Edge Computing by Deep Reinforcement Learning
by: Thi-Thanh, Tam Ninh, et al.
Published: (2025)
by: Thi-Thanh, Tam Ninh, et al.
Published: (2025)
LLMs as Noisy Channels: A Shannon Perspective on Model Capacity and Scaling Laws
by: Ouyang, Xu, et al.
Published: (2026)
by: Ouyang, Xu, et al.
Published: (2026)
Metric-Entropy Limits on the Approximation of Nonlinear Dynamical Systems
by: Pan, Yang, et al.
Published: (2024)
by: Pan, Yang, et al.
Published: (2024)
The Generalization Error of Supervised Machine Learning Algorithms
by: Perlaza, Samir M., et al.
Published: (2024)
by: Perlaza, Samir M., et al.
Published: (2024)
POLAR: A Pessimistic Model-based Policy Learning Algorithm for Dynamic Treatment Regimes
by: Zhang, Ruijia, et al.
Published: (2025)
by: Zhang, Ruijia, et al.
Published: (2025)
Recursive KL Divergence Optimization: A Dynamic Framework for Representation Learning
by: Martin, Anthony D
Published: (2025)
by: Martin, Anthony D
Published: (2025)
MIMO Detection via Gaussian Mixture Expectation Propagation: A Bayesian Machine Learning Approach for High-Order High-Dimensional MIMO Systems
by: Shayovitz, Shachar, et al.
Published: (2024)
by: Shayovitz, Shachar, et al.
Published: (2024)
Dynamic User Grouping based on Location and Heading in 5G NR Systems
by: Pjanić, Dino, et al.
Published: (2024)
by: Pjanić, Dino, et al.
Published: (2024)
Decentralized Machine Learning with Centralized Performance Guarantees via Gibbs Algorithms
by: Bermudez, Yaiza, et al.
Published: (2026)
by: Bermudez, Yaiza, et al.
Published: (2026)
Estimating Conditional Mutual Information for Dynamic Feature Selection
by: Gadgil, Soham, et al.
Published: (2023)
by: Gadgil, Soham, et al.
Published: (2023)
Curvature-Weighted Capacity Allocation: A Minimum Description Length Framework for Layer-Adaptive Large Language Model Optimization
by: Amaefuna, Theophilus, et al.
Published: (2026)
by: Amaefuna, Theophilus, et al.
Published: (2026)
Asymptotic Behavior of Multi--Task Learning: Implicit Regularization and Double Descent Effects
by: Alrashdi, Ayed M., et al.
Published: (2026)
by: Alrashdi, Ayed M., et al.
Published: (2026)
Measuring the Predictability of Recommender Systems using Structural Complexity Metrics
by: Abeliuk, Andrés, et al.
Published: (2024)
by: Abeliuk, Andrés, et al.
Published: (2024)
InfoDPCCA: Information-Theoretic Dynamic Probabilistic Canonical Correlation Analysis
by: Tang, Shiqin, et al.
Published: (2025)
by: Tang, Shiqin, et al.
Published: (2025)
Distributed Multi-Objective Dynamic Offloading Scheduling for Air-Ground Cooperative MEC
by: Huang, Yang, et al.
Published: (2024)
by: Huang, Yang, et al.
Published: (2024)
Dynamic Feature Selection from Variable Feature Sets Using Features of Features
by: Takahashi, Katsumi, et al.
Published: (2025)
by: Takahashi, Katsumi, et al.
Published: (2025)
Predictive-State Communication: Innovation Coding and Reconciliation under Delay
by: Ercetin, Ozgur, et al.
Published: (2026)
by: Ercetin, Ozgur, et al.
Published: (2026)
Digital Over-the-Air Federated Learning in Multi-Antenna Systems
by: Wang, Sihua, et al.
Published: (2023)
by: Wang, Sihua, et al.
Published: (2023)
An Information-Theoretic Framework for Out-of-Distribution Generalization with Applications to Stochastic Gradient Langevin Dynamics
by: Liu, Wenliang, et al.
Published: (2024)
by: Liu, Wenliang, et al.
Published: (2024)
Monitoring State Transitions in Markovian Systems with Sampling Cost
by: Saurav, Kumar, et al.
Published: (2025)
by: Saurav, Kumar, et al.
Published: (2025)
Generative Network Layer for Communication Systems with Artificial Intelligence
by: Thorsager, Mathias, et al.
Published: (2023)
by: Thorsager, Mathias, et al.
Published: (2023)
Capacity of the Hebbian-Hopfield network associative memory
by: Stojnic, Mihailo
Published: (2024)
by: Stojnic, Mihailo
Published: (2024)
Bridging Algorithmic Information Theory and Machine Learning: A New Approach to Kernel Learning
by: Hamzi, Boumediene, et al.
Published: (2023)
by: Hamzi, Boumediene, et al.
Published: (2023)
Characterizing Dependence of Samples along the Langevin Dynamics and Algorithms via Contraction of $Φ$-Mutual Information
by: Liang, Jiaming, et al.
Published: (2024)
by: Liang, Jiaming, et al.
Published: (2024)
Similar Items
-
Restrictions on Physical Stochastic Reservoir Computers
by: Polloreno, Anthony M.
Published: (2023) -
Learning Capacity: A Measure of the Effective Dimensionality of a Model
by: Chen, Daiwei, et al.
Published: (2023) -
Maximal-Capacity Discrete Memoryless Channel Identification
by: Egger, Maximilian, et al.
Published: (2024) -
The Conditional Regret-Capacity Theorem for Batch Universal Prediction
by: Bondaschi, Marco, et al.
Published: (2025) -
Capacity-Constrained Continual Learning
by: Wen, Zheng, et al.
Published: (2025)