Cover Image

How Patterns Dictate Learnability in Sequential Data

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Morawski, Mario, Despres, Anais, Rehm, Rémi
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Information Theory
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Learnable Residual-Based Latent Denoising in Semantic Communication
by: Xu, Mingkai, et al.
Published: (2025)

Scale-Sensitive Shattering: Learnability and Evaluability at Optimal Scale
by: Aiyer, Shashaank, et al.
Published: (2026)

Distribution Learnability and Robustness
by: Ben-David, Shai, et al.
Published: (2024)

The Conditional Cauchy-Schwarz Divergence with Applications to Time-Series Data and Sequential Decision Making
by: Yu, Shujian, et al.
Published: (2023)

Robust Image Semantic Coding with Learnable CSI Fusion Masking over MIMO Fading Channels
by: Xie, Bingyan, et al.
Published: (2024)

Stabilization of Perturbed Loss Function: Differential Privacy without Gradient Noise
by: Habib, Salman, et al.
Published: (2025)

Assouad, Fano, and Le Cam with Interaction: A Unifying Lower Bound Framework and Characterization for Bandit Learnability
by: Chen, Fan, et al.
Published: (2024)

Optimal Sequential Recommendations: Exploiting User and Item Structure
by: Karzand, Mina, et al.
Published: (2025)

Speeding up Speculative Decoding via Sequential Approximate Verification
by: Zhong, Meiyu, et al.
Published: (2025)

On Self-Adaptive Perception Loss Function for Sequential Lossy Compression
by: Salehkalaibar, Sadaf, et al.
Published: (2025)

On the Minimax Regret of Sequential Probability Assignment via Square-Root Entropy
by: Jia, Zeyu, et al.
Published: (2025)

On Cost-Aware Sequential Hypothesis Testing with Random Costs and Action Cancellation
by: Vershinin, George, et al.
Published: (2025)

Measures of Information Reflect Memorization Patterns
by: Bansal, Rachit, et al.
Published: (2022)

Sequential 1-bit Mean Estimation with Near-Optimal Sample Complexity
by: Lau, Ivan, et al.
Published: (2025)

Order-Optimal Sequential 1-Bit Mean Estimation in General Tail Regimes
by: Lau, Ivan, et al.
Published: (2026)

Dictionary Based Pattern Entropy for Causal Direction Discovery
by: B, Harikrishnan N, et al.
Published: (2026)

Latency Optimization in LEO Satellite Communications with Hybrid Beam Pattern and Interference Control
by: Zhang, Qianqian, et al.
Published: (2024)

Lossy Common Information in a Learnable Gray-Wyner Network
by: de Andrade, Anderson, et al.
Published: (2026)

The Query/Hit Model for Sequential Hypothesis Testing
by: Shariatnasab, Mahshad, et al.
Published: (2025)

How Big Should a Wireless Foundation Model Be?
by: Cheng, Wei-Lun, et al.
Published: (2026)

How Transformers Learn Causal Structure with Gradient Descent
by: Nichani, Eshaan, et al.
Published: (2024)

Can Kernel Methods Explain How the Data Affects Neural Collapse?
by: Kothapalli, Vignesh, et al.
Published: (2024)

5G LDPC Linear Transformer for Channel Decoding
by: Hernandez, Mario, et al.
Published: (2025)

Sequential Neural Probabilistic Amplitude Shaping: Learning the Channel's Language
by: Askari, Mohammad Taha, et al.
Published: (2026)

Mixtures of Gaussians are Privately Learnable with a Polynomial Number of Samples
by: Afzali, Mohammad, et al.
Published: (2023)

Trade-offs in Data Memorization via Strong Data Processing Inequalities
by: Feldman, Vitaly, et al.
Published: (2025)

How Controlling the Variance can Improve Training Stability of Sparsely Activated DNNs and CNNs
by: Dent, Emily, et al.
Published: (2026)

Learning Causality for Longitudinal Data
by: Bouchattaoui, Mouad EL
Published: (2025)

The Rough Topology for Numerical Data
by: Yiğit, Uğur
Published: (2022)

Semantic Communication meets System 2 ML: How Abstraction, Compositionality and Emergent Languages Shape Intelligence
by: Bennis, Mehdi, et al.
Published: (2025)

Self-Play Only Evolves When Self-Synthetic Pipeline Ensures Learnable Information Gain
by: Liu, Wei, et al.
Published: (2026)

Spectral Scaling Laws in Language Models: How Effectively Do Feed-Forward Networks Use Their Latent Space?
by: Jha, Nandan Kumar, et al.
Published: (2025)

Exact Recovery in the Data Block Model
by: Asadi, Amir R., et al.
Published: (2026)

The Art of Misclassification: Too Many Classes, Not Enough Points
by: Franco, Mario, et al.
Published: (2025)

Neural Polar Decoders for DNA Data Storage
by: Aharoni, Ziv, et al.
Published: (2025)

Refining Labeling Functions with Limited Labeled Data
by: Li, Chenjie, et al.
Published: (2025)

Application of Deep Learning in Biological Data Compression
by: Zou, Chunyu
Published: (2025)

Interpretive Efficiency: Information-Geometric Foundations of Data Usefulness
by: Katende, Ronald
Published: (2025)

How Does Attention Help? Insights from Random Matrices on Signal Recovery from Sequence Models
by: Seddik, Mohamed El Amine
Published: (2026)

Data-dependent Generalization Bounds via Variable-Size Compressibility
by: Sefidgaran, Milad, et al.
Published: (2023)