Sampling ideas

Diffusion step schedules, solvers, guidance and stopping rules that cut function evaluations or improve sample quality.

2 ideas found

Category: Sampling ML: Graph nn Math: Statistics Clear all

✗ Failed on benchmark 2026

Second-order fusion prior for point-set diffusion

Add the paper's local Sine_beta fusion law as an analytic score prior for diffusion models that generate unordered point configurations. The model is trained to match both the usual diffusion score and an explicit short-range repulsion score, including the second-order correction that describes finite-scale fused configurations.

Useful6/10

Difficulty5/10

Novelty6/10

Sampling Accuracy Stability Sample efficiency

Paper: Second-order Fusion Asymptotics for Sine\b{eta} Correlation Functions arXiv:2608.23742

Unverified 2026

Dominance-aware mode extraction for binary neural samplers

Replace nearest-center or k-modes assignment on a pool of binary neural-network samples with responsibility thresholding followed by a coordinate-wise dominance screen. Only retain a candidate mode when its assigned samples are sufficiently explained by that mode and, at every bit position, the responsibility-weighted majority agrees with the proposed center; otherwise mark the mode unreliable or discard it.

Useful5/10

Difficulty4/10

Novelty7/10

Sampling Accuracy Sample efficiency Diffusion sampling

Paper: Reliable Sample-Level Quantum Error Mitigation via Dominance-Aware Clustering arXiv:2609.01744