Identifying ODEs from Unstructured Data with Causal Representation Learning

arXiv:2609.37083 · cs.LG, cs.AI, stat.ML · Submitted 2026-09-29 · Read on arXiv

cs.LG, cs.AI, stat.ML

Submitted: 2026-09-29

Updated: 2026-09-29

Terminology

• Sparsity — 27× in this paper · explained in 4 episodes
• Representation Learning — 15× in this paper · explained in 2 episodes
• Latent Space — 13× in this paper · explained in 7 episodes
• Transformer — 12× in this paper · explained in 2 episodes
• Adam — 6× in this paper · explained in 2 episodes
• Mechanistic Neural Network — 5× in this paper
• Ablation — 4× in this paper · explained in 1 episode
• Consistency — 3× in this paper · explained in 3 episodes
• Reconstruction Error — 3× in this paper · explained in 2 episodes
• Theoretical Guarantees — 3× in this paper · explained in 2 episodes
• Ordinary Differential Equations (ODEs) — 2× in this paper · explained in 2 episodes
• Regularization — 2× in this paper · explained in 3 episodes
• Symbolic Regression — 2× in this paper · explained in 5 episodes
• Chaotic Dynamics — 1× in this paper · explained in 2 episodes
• Data Augmentation — 1× in this paper · explained in 7 episodes
• Decode — 1× in this paper · explained in 2 episodes
• Elias — 1× in this paper · explained in 2 episodes
• Interpretability — 1× in this paper · explained in 15 episodes
• Inverse Problem — 1× in this paper · explained in 2 episodes
• Latent Representation — 1× in this paper · explained in 2 episodes
• Normalizing Flow — 1× in this paper · explained in 3 episodes
• Self-Supervised Learning — 1× in this paper · explained in 7 episodes
• System Identification — 1× in this paper · explained in 3 episodes
• Transferability — 1× in this paper · explained in 4 episodes
• While Causal Representation Learning — 1× in this paper

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