Manifold meta-learning for reduced-complexity neural system identification

arXiv:2504.11811 · cs.LG, cs.SY, eess.SY · Submitted 2025-04-16 · Read on arXiv

cs.LG, cs.SY, eess.SY

Submitted: 2025-04-16

Updated: 2026-10-27

Terminology

• Meta-learning — 3× in this paper · explained in 3 episodes
• System Identification — 3× in this paper · explained in 3 episodes
• Benchmark — 1× in this paper · explained in 2 episodes
• Parameterization — 1× in this paper · explained in 2 episodes

Related papers

• Polynomial-Augmented Neural Networks (PANNs) with Weak Orthogonality Constraints for Enhanced Function and PDE Approximation
• AIRL-S: Unifying Reinforcement Learning and Search-Based Test-Time Scaling via Adversarial Inverse Reinforcement Learning
• Transformers as Bayesian In-Context Experimenters: Smoothness-Adaptive Efficient ATE Estimation
• Convergence issues in Relational Concept Analysis based on AOC-posets
• Beliefs Beyond Posteriors: The Predictive Cost of ELBO Binding
• Understanding Diffusion Models via Ratio-Based Function Approximation with SignReLU Networks