基本信息
浏览量:191
职业迁徙
个人简介
My name is Benigno Uría. I've been a research scientist at Google Deepmind since 2015. Before that I did my PhD at University of Edinburgh, where I had the privilege of being advised by Iain Murray and Steve Renals, and the honour of being mentored by John Bridle (Apple).
My research interest lies in the artificial intelligence field, more especifically in machine learning. During my PhD I studied the use of artificial neural networks for modelling the probabilistic relationship between large sets of variables. My work extended the NADE (neural autoregressive distribution estimator) model to real-valued data, and later leveraged the use of deep learning for improving its statistical performance.
The practical side of my PhD dealt with speech processing: speech recognition, synthesis and articulatory inversion. Some of which was used in popular portable devices.
More recently, after joining DeepMind, my research has focused on accelerating reinforcement learning by combining non-parametric techniques with deep neural networks.
My research interest lies in the artificial intelligence field, more especifically in machine learning. During my PhD I studied the use of artificial neural networks for modelling the probabilistic relationship between large sets of variables. My work extended the NADE (neural autoregressive distribution estimator) model to real-valued data, and later leveraged the use of deep learning for improving its statistical performance.
The practical side of my PhD dealt with speech processing: speech recognition, synthesis and articulatory inversion. Some of which was used in popular portable devices.
More recently, after joining DeepMind, my research has focused on accelerating reinforcement learning by combining non-parametric techniques with deep neural networks.
研究兴趣
论文共 18 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
bioRxiv (Cold Spring Harbor Laboratory) (2022)
NATUREno. 7705 (2018): 429-433
ICML'16: Proceedings of the 33rd International Conference on International Conference on Machine Learning - Volume 48 (2016): 1986-1994
引用192浏览0EI引用
192
0
加载更多
作者统计
合作学者
合作机构
D-Core
- 合作者
- 学生
- 导师
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