Simplifying, Stabilizing and Scaling Continuous-time Consistency Models

Cheng Lu, Yang Song
2/12/2026

No confident code implementation found for this paper. 1 possible match can be shown below.

Semantic Scholar

Code Implementations

No confident code match yet

We couldn't find an author-owned or strongly-evidenced community implementation for this paper. 1 weaker match is hidden by default — verify before relying on them.

No code implementations found yet.

Know of an implementation? Let us know in the comments below!

Similar Papers

HyperIV: Real-time Implied Volatility Smoothing

94% match1 repo152026

Test-time Adapted Reinforcement Learning with Action Entropy Regularization

92% match2026

Active Observing in Continuous-time Control

90% match1 repo52026

M^3PC: Test-time Model Predictive Control using Pretrained Masked Trajectory Model

88% match2026

Bayesian Weight Enhancement with Steady-State Adaptation for Test-time Adaptation in Dynamic Environments

84% match2026

Continual Momentum Filtering on Parameter Space for Online Test-time Adaptation

84% match1 repo82026

Cite this paper

@article{lu2026simplifying,
  title  = {Simplifying, Stabilizing and Scaling Continuous-time Consistency Models},
  author = {Cheng Lu and Yang Song},
  year   = {2026},
  url    = {https://api.semanticscholar.org/CorpusID:323a2d34a03338970692add72aab292434f59a89},
  journal = {ICLR 2025 2025}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/323a2d34a03338970692add72aab292434f59a89.svg)](https://codeofpaper.com/paper/323a2d34a03338970692add72aab292434f59a89)

Discussion