Two-Sample Testing via Path-based Inference
stat.ML, cs.AI, cs.LG
Submitted: 2026-10-05
Updated: 2026-10-05
Sources
- On the Closed-Form of Flow Matching: Generalization Does Not Arise from Target Stochasticity
- Density Ratio Estimation via Infinitesimal Classification
- Text-to-Image Diffusion Models are Zero-Shot Classifiers
- Denoising diffusion models for out-of-distribution detection
- Mutual Information and Minimum Mean-square Error in Gaussian Channels
- Classification accuracy as a proxy for two sample testing
- Information-Theoretic Diffusion
- A Witness Two-Sample Test
- Your Diffusion Model is Secretly a Zero-Shot Classifier
- Unsupervised Out-of-Distribution Detection with Diffusion Inpainting
- Interpretation and Generalization of Score Matching
- Influence Functions for Scalable Data Attribution in Diffusion Models
- Diffusion-Based Hypothesis Testing and Change-Point Detection
- Midpoint Generative Models
- Zero-Flow Two-Sample Tests
Related papers
- Behavior of prediction performance metrics with rare events
- Optimal Estimation of Generic Dynamics by Path-Dependent Neural Jump ODEs
- A Posterior-Dynamics Framework for Imaging Inverse Problems with Pretrained Diffusion Priors
- Efficient quadratic entropy with distance sketches
- Embedding-Bias in Conditional Independence Testing
- From Log-Odds to Shapley Values: An Explanatory Geometry for the Weighted Naive Bayes Classifier