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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).
Given this dataset, the goal of generative modeling is to fit a model to the data distribution such that we can synthesize new data points at will by sampling from the distribution. In order to build such a generative model, we first need a way to represent a probability distribution.
Sep 4, 2018 · Sliced Score Matching: A Scalable Approach to Density and Score Estimation. An overview for our UAI 2019 paper on Sliced Score Matching. We show how to use random projections to scale up score matching—a classic method to learn unnormalized probabilisic models—to high-dimensional data.
Pixeldefend: Leveraging generative models to understand and defend against adversarial examples. Y Song, T Kim, S Nowozin, S Ermon, N Kushman. International Conference on Learning Representations. , 2018. 898. 2018. Diffusion models: A comprehensive survey of methods and applications.
Articles 1–20. Google Research - Machine Intelligence - Cited by 16,139 - Information Retrieval - Machine Learning - Recommender Systems - Deep Learning - Search Engines.
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, ...
1. 2022. Development and validation of a deep-learning model to predict 10-year atherosclerotic cardiovascular disease risk from retinal images using the UK Biobank and EyePACS 10K datasets. E...
