Yixin Tan 个人学术档案 - 学术资源搜索

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Jianfeng Lu 鲁剑锋Department of Mathematics, Department of Chemistry and Department of Physics, Duke University在 math.duke.edu 的电子邮件经过验证
Holden LeeAssistant Professor of Applied Mathematics and Statistics, Johns Hopkins University在 jhu.edu 的电子邮件经过验证
Xiuyuan ChengDuke University在 duke.edu 的电子邮件经过验证
Yao XieCoca-Cola Foundation Chair and Professor, Georgia Institute of Technology在 isye.gatech.edu 的电子邮件经过验证
Weijian LuoPeking University在 stu.pku.edu.cn 的电子邮件经过验证
Marin BilošPhD student, Technical University of Munich在 in.tum.de 的电子邮件经过验证
yuriy nevmyvakaManaging Director, ML Research, Morgan Stanley在 morganstanley.com 的电子邮件经过验证
Ricky Tian Qi ChenMeta Fundamental AI Research (FAIR)在 meta.com 的电子邮件经过验证
Yu ChenCarnegie Mellon University在 alumni.cmu.edu 的电子邮件经过验证
Wei DengResearcher at Morgan Stanley在 purdue.edu 的电子邮件经过验证

Yixin Tan

在 duke.edu 的电子邮件经过验证


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Convergence for score-based generative modeling with polynomial complexity H Lee, J Lu, Y Tan Advances in Neural Information Processing Systems 35, 22870-22882, 2022	105	2022
Convergence of score-based generative modeling for general data distributions H Lee, J Lu, Y Tan International Conference on Algorithmic Learning Theory, 946-985, 2023	100	2023
Convergence of flow-based generative models via proximal gradient descent in Wasserstein space X Cheng, J Lu, Y Tan, Y Xie IEEE Transactions on Information Theory, 2024	8	2024
More Efficient Randomized Exploration for Reinforcement Learning via Approximate Sampling H Ishfaq, Y Tan, Y Yang, Q Lan, J Lu, AR Mahmood, D Precup, P Xu arXiv preprint arXiv:2406.12241, 2024		2024
Variational Schr\" odinger Diffusion Models W Deng, W Luo, Y Tan, M Biloš, Y Chen, Y Nevmyvaka, RTQ Chen arXiv preprint arXiv:2405.04795, 2024		2024
Analysis of Score-based Generative Models Y Tan Duke University, 2024		2024

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