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20122026
most citedScore-Based Generative Modeling through Stochastic Differential Equations

1.3k citations · 2.4k across the 146 of their papers we have counts for

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Showing 2021Show all

17 papers · 1 filter

cs.LG20216 cited

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…

cs.LG20217 cited

SustainBench: Benchmarks for Monitoring the Sustainable Development Goals with Machine Learning

Christopher Yeh, Chenlin Meng, Sherrie Wang +7

Progress toward the United Nations Sustainable Development Goals (SDGs) has been hindered by a lack of data on key environmental and socioeconomic indicators, which historically ha…

cs.LG20212 cited

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…

cs.LG2021

Equivariant Neural Network for Factor Graphs

Fan-Yun Sun, Jonathan Kuck, Hao Tang +1

Several indices used in a factor graph data structure can be permuted without changing the underlying probability distribution. An algorithm that performs inference on a factor gra…

stat.ML20214 cited

Calibrating Predictions to Decisions: A Novel Approach to Multi-Class Calibration

Shengjia Zhao, Michael P. Kim, Roshni Sahoo +2

When facing uncertainty, decision-makers want predictions they can trust. A machine learning provider can convey confidence to decision-makers by guaranteeing their predictions are…

cs.LG2021

Multi-Agent Imitation Learning with Copulas

Hongwei Wang, Lantao Yu, Zhangjie Cao +1

Multi-agent imitation learning aims to train multiple agents to perform tasks from demonstrations by learning a mapping between observations and actions, which is essential for und…