305 citations · 605 across the 8 of their papers we have counts for
8 papers
Consistency Models
Yang Song, Prafulla Dhariwal, Mark Chen +1
Diffusion models have significantly advanced the fields of image, audio, and video generation, but they depend on an iterative sampling process that causes slow generation. To over…
GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation
Minkai Xu, Lantao Yu, Yang Song +3
Predicting molecular conformations from molecular graphs is a fundamental problem in cheminformatics and drug discovery. Recently, significant progress has been achieved with machi…
Estimating High Order Gradients of the Data Distribution by Denoising
Chenlin Meng, Yang Song, Wenzhe Li +1
The first order derivative of a data density can be estimated efficiently by denoising score matching, and has become an important component in many applications, such as image gen…
Pseudo-Spherical Contrastive Divergence
Lantao Yu, Jiaming Song, Yang Song +1
Energy-based models (EBMs) offer flexible distribution parametrization. However, due to the intractable partition function, they are typically trained via contrastive divergence fo…
SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations
Chenlin Meng, Yutong He, Yang Song +4
Guided image synthesis enables everyday users to create and edit photo-realistic images with minimum effort. The key challenge is balancing faithfulness to the user input (e.g., ha…
CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation
Yusuke Tashiro, Jiaming Song, Yang Song +1
The imputation of missing values in time series has many applications in healthcare and finance. While autoregressive models are natural candidates for time series imputation, scor…
Anytime Sampling for Autoregressive Models via Ordered Autoencoding
Yilun Xu, Yang Song, Sahaj Garg +4
Autoregressive models are widely used for tasks such as image and audio generation. The sampling process of these models, however, does not allow interruptions and cannot adapt to…
Accelerating Feedforward Computation via Parallel Nonlinear Equation Solving
Yang Song, Chenlin Meng, Renjie Liao +1
Feedforward computation, such as evaluating a neural network or sampling from an autoregressive model, is ubiquitous in machine learning. The sequential nature of feedforward compu…