עקוב אחר
Yang Song
Yang Song
OpenAI
כתובת אימייל מאומתת בדומיין openai.com - דף הבית
כותרת
צוטט על ידי
צוטט על ידי
שנה
Gpt-4 technical report‏
J Achiam, S Adler, S Agarwal, L Ahmad, I Akkaya, FL Aleman, D Almeida, ...‏
arXiv preprint arXiv:2303.08774, 2023‏
11404*2023
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
63542021
Generative modeling by estimating gradients of the data distribution‏
Y Song, S Ermon‏
Advances in Neural Information Processing Systems, 11918-11930, 2019‏
40662019
SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations‏
C Meng, Y He, Y Song, J Song, J Wu, JY Zhu, S Ermon‏
International Conference on Learning Representations, 2021‏
1726*2021
Diffusion models: A comprehensive survey of methods and applications‏
L Yang, Z Zhang, Y Song, S Hong, R Xu, Y Zhao, W Zhang, B Cui, ...‏
ACM Computing Surveys, 2022‏
16882022
Improved techniques for training score-based generative models‏
Y Song, S Ermon‏
Advances in Neural Information Processing Systems 33, 2020‏
11772020
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
9942018
Consistency Models‏
Y Song, P Dhariwal, M Chen, I Sutskever‏
arXiv preprint arXiv:2303.01469, 2023‏
9212023
Maximum Likelihood Training of Score-Based Diffusion Models‏
Y Song, C Durkan, I Murray, S Ermon‏
arXiv preprint arXiv:2101.09258, 2021‏
6462021
GeoDiff: A Geometric Diffusion Model for Molecular Conformation Generation‏
M Xu, L Yu, Y Song, C Shi, S Ermon, J Tang‏
International Conference on Learning Representations, 2021‏
5912021
CSDI: Conditional score-based diffusion models for probabilistic time series imputation‏
Y Tashiro, J Song, Y Song, S Ermon‏
Advances in Neural Information Processing Systems 34, 24804-24816, 2021‏
5542021
Solving Inverse Problems in Medical Imaging with Score-Based Generative Models‏
Y Song, L Shen, L Xing, S Ermon‏
arXiv preprint arXiv:2111.08005, 2021‏
5532021
Sliced score matching: A scalable approach to density and score estimation‏
Y Song, S Garg, J Shi, S Ermon‏
Uncertainty in Artificial Intelligence, 574-584, 2019‏
4962019
Efficient graph generation with graph recurrent attention networks‏
R Liao, Y Li, Y Song, S Wang, W Hamilton, DK Duvenaud, R Urtasun, ...‏
Advances in Neural Information Processing Systems, 4255-4265, 2019‏
3962019
Constructing Unrestricted Adversarial Examples with Generative Models‏
Y Song, R Shu, N Kushman, S Ermon‏
Advances in Neural Information Processing Systems, 8322-8333, 2018‏
3592018
How to Train Your Energy-Based Models‏
Y Song, DP Kingma‏
arXiv preprint arXiv:2101.03288, 2021‏
3092021
Permutation invariant graph generation via score-Based generative modeling‏
C Niu, Y Song, J Song, S Zhao, A Grover, S Ermon‏
International Conference on Artificial Intelligence and Statistics, 4474-4484, 2020‏
2722020
Learning Energy-Based Models by Diffusion Recovery Likelihood‏
R Gao, Y Song, B Poole, YN Wu, DP Kingma‏
International Conference on Learning Representations, 2020‏
1392020
Improved Techniques for Training Consistency Models‏
Y Song, P Dhariwal‏
arXiv preprint arXiv:2310.14189, 2023‏
1342023
Training deep neural networks via direct loss minimization‏
Y Song, A Schwing, R Zemel, R Urtasun‏
International Conference on Machine Learning, 2169-2177, 2016‏
1282016
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מאמרים 1–20