Zero Flux: Flow-Based Comparison of High-Dimensional Discrete Distributions

arXiv:2610.01472 · stat.ML, cs.LG · Submitted 2026-10-01 · Read on arXiv

stat.ML, cs.LG

Submitted: 2026-10-01

Updated: 2026-10-01

Terminology

• AUROC — 11× in this paper · explained in 2 episodes
• Flow Matching — 9× in this paper · explained in 8 episodes
• Transformer — 7× in this paper · explained in 2 episodes
• Discrete Flow Matching — 6× in this paper
• Distribution Shift — 6× in this paper · explained in 6 episodes
• Embeddings — 4× in this paper · explained in 2 episodes
• Accuracy — 3× in this paper · explained in 1 episode
• Adam — 3× in this paper · explained in 2 episodes
• Alignment — 3× in this paper · explained in 1 episode
• Hamming Distance — 3× in this paper · explained in 2 episodes
• Aggregation — 2× in this paper · explained in 1 episode
• Benchmark — 1× in this paper · explained in 2 episodes
• Cosine Similarity — 1× in this paper · explained in 3 episodes
• Error Decomposition — 1× in this paper · explained in 3 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Generative Models — 1× in this paper · explained in 2 episodes
• Homogeneity — 1× in this paper · explained in 2 episodes
• Rectified Flow — 1× in this paper · explained in 3 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes
• Variational Bayes — 1× in this paper · explained in 2 episodes

Sources

• Importance Weighted Autoencoders
• Auto-Encoding Variational Bayes
• Midpoint Generative Models
• Zero-Flow Two-Sample Tests

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