Rethinking Selectivity in State Space Models: A Minimal Predictive Sufficiency Approach
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, Yiyi, Zhang, Jian'an, Duan, Hongyi, Liu, Haoyang, Li, Qingyang |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Just-In-Time Piecewise-Linear Semantics for ReLU-type Networks
by: Duan, Hongyi, et al.
Published: (2025)
by: Duan, Hongyi, et al.
Published: (2025)
Cost Minimization for Space-Air-Ground Integrated Multi-Access Edge Computing Systems
by: Qin, Weihong, et al.
Published: (2025)
by: Qin, Weihong, et al.
Published: (2025)
Age Optimal Sampling for Unreliable Channels under Unknown Channel Statistics
by: He, Hongyi, et al.
Published: (2024)
by: He, Hongyi, et al.
Published: (2024)
Enhanced LFTSformer: A Novel Long-Term Financial Time Series Prediction Model Using Advanced Feature Engineering and the DS Encoder Informer Architecture
by: Zhang, Jianan, et al.
Published: (2023)
by: Zhang, Jianan, et al.
Published: (2023)
StateSMix: Online Lossless Compression via Mamba State Space Models and Sparse N-gram Context Mixing
by: Tacconelli, Roberto
Published: (2026)
by: Tacconelli, Roberto
Published: (2026)
The Price of Sparsity: Sufficient Conditions for Sparse Recovery using Sparse and Sparsified Measurements
by: Chaabouni, Youssef, et al.
Published: (2025)
by: Chaabouni, Youssef, et al.
Published: (2025)
Price of Quality: Sufficient Conditions for Sparse Recovery using Mixed-Quality Data
by: Chaabouni, Youssef, et al.
Published: (2026)
by: Chaabouni, Youssef, et al.
Published: (2026)
MambaCSP: Hybrid-Attention State Space Models for Hardware-Efficient Channel State Prediction
by: Djuhera, Aladin, et al.
Published: (2026)
by: Djuhera, Aladin, et al.
Published: (2026)
MambaJSCC: Adaptive Deep Joint Source-Channel Coding with Generalized State Space Model
by: Wu, Tong, et al.
Published: (2024)
by: Wu, Tong, et al.
Published: (2024)
An Elementary Approach to Scheduling in Generative Diffusion Models
by: Sun, Qiang, et al.
Published: (2026)
by: Sun, Qiang, et al.
Published: (2026)
Model Merging by Output-Space Projection
by: Evans, Bethan, et al.
Published: (2026)
by: Evans, Bethan, et al.
Published: (2026)
Post-Selection Distributional Model Evaluation
by: Farzaneh, Amirmohammad, et al.
Published: (2026)
by: Farzaneh, Amirmohammad, et al.
Published: (2026)
Minimal Communication-Cost Statistical Learning
by: Sefidgaran, Milad, et al.
Published: (2024)
by: Sefidgaran, Milad, et al.
Published: (2024)
Best Arm Identification with Minimal Regret
by: Yang, Junwen, et al.
Published: (2024)
by: Yang, Junwen, et al.
Published: (2024)
Asymmetry of the Relative Entropy in the Regularization of Empirical Risk Minimization
by: Daunas, Francisco, et al.
Published: (2024)
by: Daunas, Francisco, et al.
Published: (2024)
Graph Community Augmentation with GMM-based Modeling in Latent Space
by: Fukushima, Shintaro, et al.
Published: (2024)
by: Fukushima, Shintaro, et al.
Published: (2024)
Empirical Risk Minimization with Relative Entropy Regularization
by: Perlaza, Samir M., et al.
Published: (2022)
by: Perlaza, Samir M., et al.
Published: (2022)
ZENN: A Thermodynamics-Inspired Computational Framework for Heterogeneous Data-Driven Modeling
by: Wang, Shun, et al.
Published: (2025)
by: Wang, Shun, et al.
Published: (2025)
Equivalence of the Empirical Risk Minimization to Regularization on the Family of f-Divergences
by: Daunas, Francisco, et al.
Published: (2024)
by: Daunas, Francisco, et al.
Published: (2024)
A Wireless Foundation Model for Multi-Task Prediction
by: Sheng, Yucheng, et al.
Published: (2025)
by: Sheng, Yucheng, et al.
Published: (2025)
Game of Coding: Sybil Resistant Decentralized Machine Learning with Minimal Trust Assumption
by: Nodehi, Hanzaleh Akbari, et al.
Published: (2024)
by: Nodehi, Hanzaleh Akbari, et al.
Published: (2024)
Self-supervised Latent Space Optimization with Nebula Variational Coding
by: Wang, Yida, et al.
Published: (2025)
by: Wang, Yida, et al.
Published: (2025)
Information-Theoretic State Variable Selection for Reinforcement Learning
by: Westphal, Charles, et al.
Published: (2024)
by: Westphal, Charles, et al.
Published: (2024)
Causally-Guided Diffusion for Stable Feature Selection
by: Malarkkan, Arun Vignesh, et al.
Published: (2026)
by: Malarkkan, Arun Vignesh, et al.
Published: (2026)
Binary Flow Matching: Prediction-Loss Space Alignment for Robust Learning
by: Hong, Jiadong, et al.
Published: (2026)
by: Hong, Jiadong, et al.
Published: (2026)
Quantifying the Prediction Uncertainty of Machine Learning Models for Individual Data
by: Bibas, Koby
Published: (2024)
by: Bibas, Koby
Published: (2024)
Quantum Maximum Likelihood Prediction via Hilbert Space Embeddings
by: Sreekumar, Sreejith, et al.
Published: (2026)
by: Sreekumar, Sreejith, et al.
Published: (2026)
Diminishing Exploration: A Minimalist Approach to Piecewise Stationary Multi-Armed Bandits
by: Li, Kuan-Ta, et al.
Published: (2024)
by: Li, Kuan-Ta, et al.
Published: (2024)
Bridging Distance and Spectral Positional Encodings via Anchor-Based Diffusion Geometry Approximation
by: Yan, Zimo, et al.
Published: (2026)
by: Yan, Zimo, et al.
Published: (2026)
Conversational Dueling Bandits in Generalized Linear Models
by: Yang, Shuhua, et al.
Published: (2024)
by: Yang, Shuhua, et al.
Published: (2024)
Bandit Convex Optimization with Gradient Prediction Adaptivity
by: Wang, Shuche, et al.
Published: (2026)
by: Wang, Shuche, et al.
Published: (2026)
GNN-based Auto-Encoder for Short Linear Block Codes: A DRL Approach
by: Tian, Kou, et al.
Published: (2024)
by: Tian, Kou, et al.
Published: (2024)
Spectral Scaling Laws in Language Models: How Effectively Do Feed-Forward Networks Use Their Latent Space?
by: Jha, Nandan Kumar, et al.
Published: (2025)
by: Jha, Nandan Kumar, et al.
Published: (2025)
Theory of Minimal Weight Perturbations in Deep Networks and its Applications for Low-Rank Activated Backdoor Attacks
by: Evans, Bethan, et al.
Published: (2026)
by: Evans, Bethan, et al.
Published: (2026)
Transformers Provably Learn Sparse Token Selection While Fully-Connected Nets Cannot
by: Wang, Zixuan, et al.
Published: (2024)
by: Wang, Zixuan, et al.
Published: (2024)
HIERVAR: A Hierarchical Feature Selection Method for Time Series Analysis
by: Keshavarzian, Alireza, et al.
Published: (2024)
by: Keshavarzian, Alireza, et al.
Published: (2024)
Accelerating Relative Entropy Coding with Space Partitioning
by: He, Jiajun, et al.
Published: (2024)
by: He, Jiajun, et al.
Published: (2024)
Decoupled Entropy Minimization
by: Ma, Jing, et al.
Published: (2025)
by: Ma, Jing, et al.
Published: (2025)
Stability of a Generalized Debiased Lasso with Applications to Resampling-Based Variable Selection
by: Liu, Jingbo
Published: (2024)
by: Liu, Jingbo
Published: (2024)
A Hierarchical Federated Learning Approach for the Internet of Things
by: Azimi-Abarghouyi, Seyed Mohammad, et al.
Published: (2024)
by: Azimi-Abarghouyi, Seyed Mohammad, et al.
Published: (2024)
Similar Items
-
Just-In-Time Piecewise-Linear Semantics for ReLU-type Networks
by: Duan, Hongyi, et al.
Published: (2025) -
Cost Minimization for Space-Air-Ground Integrated Multi-Access Edge Computing Systems
by: Qin, Weihong, et al.
Published: (2025) -
Age Optimal Sampling for Unreliable Channels under Unknown Channel Statistics
by: He, Hongyi, et al.
Published: (2024) -
Enhanced LFTSformer: A Novel Long-Term Financial Time Series Prediction Model Using Advanced Feature Engineering and the DS Encoder Informer Architecture
by: Zhang, Jianan, et al.
Published: (2023) -
StateSMix: Online Lossless Compression via Mamba State Space Models and Sparse N-gram Context Mixing
by: Tacconelli, Roberto
Published: (2026)