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Yang Song (宋飏) Leading Strategic Explorations team at OpenAI. Incoming Assistant Professor, Electrical Engineering and Computing + Mathematical Sciences, California Institute of Technology (Caltech).
Score-Based Generative Modeling through Stochastic Differential Equations. Y Song, J Sohl-Dickstein, DP Kingma, A Kumar, S Ermon, B Poole. International Conference on Learning Representations. , 2021. 3509. 2021. Generative modeling by estimating gradients of the data distribution. Y Song, S Ermon.
Jan 17, 2023 · Yang Song, Stanford University Generating data with complex patterns, such as images, audio, and molecular structures, requires fitting very flexible statistical models to the data distribution.
Working on generative models and AI safety. Website: https://yang-song.github.io · Experience: OpenAI · Education: Stanford University · Location: San Francisco Bay Area · 500+...
- OpenAI
Youth AI Talk (YSS) #21: Dr. Yang Song — Advancements in Diffusion Models for Generative AI. To kick off our Youth Speaker Series, we are honored to have Dr. Yang Song joining us for a ...
Generative Modeling by Estimating Gradients of the Data Distribution. This blog post focuses on a promising new direction for generative modeling. We can learn score functions (gradients of log probability density functions) on a large number of noise-perturbed data distributions, then generate samples with Langevin-type sampling.
Yang Song. J Huang, V Rathod, C Sun, M Zhu, A Korattikara, A Fathi, I Fischer, ... Proceedings of the IEEE conference on computer vision and pattern …. Proceedings of the IEEE/CVF conference on computer vision and pattern …. G Van Horn, O Mac Aodha, Y Song, Y Cui, C Sun, A Shepard, H Adam, ...
