Pierre Glaser博士生University College London关注立即认领分享关注立即认领分享基本信息浏览量:0职业迁徙个人简介I regularily perform outreach to introduce researchers with Python libraries that could allow them to scale up their experiments, and increase the efficiency of the computational component of their research workflows.研究兴趣论文共 3 篇作者统计合作学者相似作者按年份排序按引用量排序主题筛选期刊级别筛选合作者筛选合作机构筛选时间引用量主题期刊级别合作者合作机构Fast and scalable score-based kernel calibration testsPierre Glaser,David Widmann,Fredrik Lindsten,Arthur GrettonUAIpp.691-700, (2023)引用0浏览0EI引用00Maximum Likelihood Learning of Energy-Based Models for Simulation-Based InferencePierre Glaser,Michael Arbel,Arnaud Doucet,Arthur GrettonCoRR (2022)引用0浏览0EI引用00KALE Flow: A Relaxed KL Gradient Flow for Probabilities with Disjoint SupportPierre Glaser,Michael Arbel,Arthur GrettonNeurIPS(2021)引用23浏览0EI引用230作者统计合作学者合作机构D-Core合作者学生导师暂无相似学者,你可以通过学者研究领域进行搜索筛选数据免责声明页面数据均来自互联网公开来源、合作出版商和通过AI技术自动分析结果,我们不对页面数据的有效性、准确性、正确性、可靠性、完整性和及时性做出任何承诺和保证。若有疑问,可以通过电子邮件方式联系我们:report@aminer.cn