Christina Winkler - Google 学术搜索

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引用次数

	总计	2019 年至今
引用	187	187
h 指数	2	2
i10 指数	1	1

0

80

40

2020202120222023202414 33 35 79 26

合著作者

Emiel HoogeboomUniversity of Amsterdam在 google.com 的电子邮件经过验证
Max WellingDistinguished Scientist at MSR AI4Science & Professor Machine Learning, University of Amsterdam在 uva.nl 的电子邮件经过验证
Daniel WorrallUniversity of Amsterdam在 deepmind.com 的电子邮件经过验证
David RolnickMcGill University, Mila Quebec AI Institute在 cs.mcgill.ca 的电子邮件经过验证
Paula HarderPhD student Fraunhofer Institute, Mila Quebec AI Institute在 mila.quebec 的电子邮件经过验证

Christina Winkler

Christina Winkler

未知所在单位机构

在 mila.quebec 的电子邮件经过验证 - 首页

Deep Learning Normalizing Flows Spatio-Temporal Modelling


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
Learning likelihoods with conditional normalizing flows C Winkler, DE Worrall, E Hoogeboom, M Welling	184	2019
Learning likelihoods with conditional normalizing flows, 2020 C Winkler, D Worrall, E Hoogeboom, M Welling URL https://openreview. net/forum, 0	3
Towards probabilistic Weather Forecasting with Conditioned Spatio-Temporal Normalizing Flows C Winkler arXiv preprint arXiv:2311.06958, 2023		2023
Climate Variable Downscaling with Conditional Normalizing Flows C Winkler, P Harder, D Rolnick NeurIPS 2023 Workshop on Tackling Climate Change with Machine Learning, 2023		2023
Environment-related differences of Deep Q-learning and Double Deep Q-learning S Rajamanickam, D Rau, D Ulmer, C Winkler
Explainable AI: Combining Introspective & Justification Explanation Systems S Bhargav, D Daza, G Rahman, C Winkler

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