Aligning Inductive Bias for Data-Efficient Generalization in State Space Models

arXiv:2509.20789 · cs.LG · Submitted 2025-09-25 · Read on arXiv

cs.LG

Submitted: 2025-09-25

Updated: 2026-10-01

Code: https://github.com/Criticality-Cognitive-Computation-Lab/Aligning-Inductive-Bias-for-State-Space-Models

Terminology

• Generalization — 2× in this paper · explained in 13 episodes
• Benchmark — 1× in this paper · explained in 2 episodes
• Scaling Laws — 1× in this paper · explained in 4 episodes
• State Space Models (SSMs) — 1× in this paper · explained in 4 episodes
• Task-Dependent Initialization — 1× in this paper

Sources

• Relational inductive biases, deep learning, and graph networks
• Mamba: Linear-Time Sequence Modeling with Selective State Spaces
• Deep Learning Scaling is Predictable, Empirically
• Scaling Laws for Neural Language Models
• ListOps: A Diagnostic Dataset for Latent Tree Learning
• Uncovering the Spectral Bias in Diagonal State Space Models
• Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition

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