KoopCell: Koopman-Based Generative Model for Learning Single-Cell Dynamics from Distribution Snapshots

arXiv:2609.33350 · cs.LG, cs.AI, q-bio.QM · Submitted 2026-09-27 · Read on arXiv

cs.LG, cs.AI, q-bio.QM

Submitted: 2026-09-27

Updated: 2026-09-27

Terminology

• Representation Learning — 14× in this paper · explained in 2 episodes
• Consistency — 11× in this paper · explained in 3 episodes
• Generative Model — 11× in this paper · explained in 2 episodes
• Optimal Transport — 11× in this paper · explained in 5 episodes
• Regularization — 11× in this paper · explained in 3 episodes
• Latent Representation — 10× in this paper · explained in 2 episodes
• Latent Dynamics — 9× in this paper · explained in 2 episodes
• Latent Space — 8× in this paper · explained in 7 episodes
• Latent Representations — 7× in this paper · explained in 3 episodes
• Ontology — 7× in this paper · explained in 2 episodes
• Hilbert Space — 6× in this paper · explained in 2 episodes
• Wasserstein Distance — 6× in this paper · explained in 4 episodes
• Benchmark — 5× in this paper · explained in 2 episodes
• Flow Matching — 5× in this paper · explained in 8 episodes
• Decode — 4× in this paper · explained in 2 episodes
• Generative Modeling — 3× in this paper · explained in 3 episodes
• Activation Function — 2× in this paper · explained in 1 episode
• Alignment — 2× in this paper · explained in 1 episode
• Convergence Guarantees — 2× in this paper · explained in 3 episodes
• Core — 2× in this paper · explained in 2 episodes
• Distribution Matching — 2× in this paper · explained in 2 episodes
• Embeddings — 2× in this paper · explained in 2 episodes
• Generative AI — 2× in this paper · explained in 2 episodes
• Interpretability — 2× in this paper · explained in 15 episodes
• KL Regularization — 2× in this paper · explained in 2 episodes
• Linear probe — 2× in this paper · explained in 2 episodes
• Reconstruction Error — 2× in this paper · explained in 2 episodes
• Stochastic Dynamics — 2× in this paper · explained in 2 episodes
• Synthetic Data Generation — 2× in this paper · explained in 5 episodes
• Accuracy — 1× in this paper · explained in 1 episode
• Adam — 1× in this paper · explained in 2 episodes
• Clustering — 1× in this paper · explained in 2 episodes
• Exponential Moving Average (EMA) — 1× in this paper · explained in 2 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Generative Models — 1× in this paper · explained in 2 episodes
• Gradient Flow — 1× in this paper · explained in 2 episodes
• Graph Construction — 1× in this paper · explained in 3 episodes
• Non-Markovian Dynamics — 1× in this paper · explained in 5 episodes
• Normalizing Flow — 1× in this paper · explained in 3 episodes
• Normalizing Flows — 1× in this paper · explained in 4 episodes
• Unified Framework — 1× in this paper · explained in 5 episodes
• Variational Bayes — 1× in this paper · explained in 2 episodes

Sources

• Identifying Drift, Diffusion, and Causal Structure from Temporal Snapshots

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