Non-parametric recovery of causal diffusion mechanisms from steady-state observations

arXiv:2606.30467 · stat.ML, cs.LG · Submitted 2026-06-29 · Read on arXiv

Richard Schwank, Mathias Drton

stat.ML, cs.LG

Submitted: 2026-06-29

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Regularization — 27× in this paper · explained in 3 episodes
• Fokker-Planck Equation — 23× in this paper · explained in 2 episodes
• Generalization — 20× in this paper · explained in 14 episodes
• Diffusion Process — 8× in this paper · explained in 2 episodes
• Consistency — 6× in this paper · explained in 3 episodes
• Hilbert Space — 6× in this paper · explained in 2 episodes
• Diffusion Model — 5× in this paper · explained in 10 episodes
• Diffusion Models — 5× in this paper · explained in 9 episodes
• Score Function — 5× in this paper · explained in 4 episodes
• Topological Order — 5× in this paper · explained in 4 episodes
• Diffusion Processes — 4× in this paper · explained in 2 episodes
• Inverse Problem — 4× in this paper · explained in 2 episodes
• Curse of Dimensionality — 3× in this paper · explained in 6 episodes
• Generative Modeling — 3× in this paper · explained in 3 episodes
• Absorb — 2× in this paper · explained in 1 episode
• Causal Inference — 2× in this paper · explained in 5 episodes
• Conditional Independence — 2× in this paper · explained in 2 episodes
• Accuracy — 1× in this paper · explained in 1 episode
• Benchmarking — 1× in this paper · explained in 4 episodes
• Causal Discovery — 1× in this paper · explained in 3 episodes
• Composition — 1× in this paper · explained in 2 episodes
• Core — 1× in this paper · explained in 2 episodes
• Directed Acyclic Graph (DAG) — 1× in this paper · explained in 2 episodes
• Hyperparameters — 1× in this paper · explained in 2 episodes
• Interpretability — 1× in this paper · explained in 15 episodes
• Nuclear Norm — 1× in this paper · explained in 2 episodes
• Sparsity — 1× in this paper · explained in 5 episodes
• Theoretical Guarantees — 1× in this paper · explained in 2 episodes
• Uncertainty Quantification — 1× in this paper · explained in 9 episodes

Sources

• Causal Modeling of Dynamical Systems

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