Linear Combination of Saved Checkpoints Makes Consistency and Diffusion Models Better

Linear Combination of Saved Checkpoints Makes Consistency and Diffusion Models Better

2 April 2024

Shuaiqi Wang

Sergey Yekhanin

Sergey Yekhanin

Yu Wang

Papers citing "Linear Combination of Saved Checkpoints Makes Consistency and Diffusion Models Better"

5 / 55 papers shown

Title
Rethinking the Inception Architecture for Computer Vision Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jonathon Shlens Z. Wojna 3DV BDL 456 27,231 0 02 Dec 2015
Deep Unsupervised Learning using Nonequilibrium Thermodynamics Jascha Narain Sohl-Dickstein Eric A. Weiss Niru Maheswaranathan Surya Ganguli SyDa DiffM 178 6,780 0 12 Mar 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 776 149,474 0 22 Dec 2014
Stochastic Gradient Descent for Non-smooth Optimization: Convergence Results and Optimal Averaging Schemes Ohad Shamir Tong Zhang 132 573 0 08 Dec 2012
Making Gradient Descent Optimal for Strongly Convex Stochastic Optimization Alexander Rakhlin Ohad Shamir Karthik Sridharan 83 764 0 26 Sep 2011