Gaussian process – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2025-03-27T16:00:00Z http://www.open-lab.net/blog/feed/ Brad Nemire <![CDATA[Meet the Researcher: Antti Honkela, Applying Machine Learning to Preserve Private Data]]> http://www.open-lab.net/blog/?p=33006 2022-08-21T23:51:58Z 2021-06-18T17:01:34Z ��Meet the Researcher�� is a series in which we spotlight researchers in academia who use NVIDIA technologies to accelerate their work.  This month we...]]> ��Meet the Researcher�� is a series in which we spotlight researchers in academia who use NVIDIA technologies to accelerate their work.  This month we...

��Meet the Researcher�� is a series in which we spotlight researchers in academia who use NVIDIA technologies to accelerate their work. This month we spotlight Antti Honkela, Associate Professor in Computer Science at University of Helsinki in Finland. Honkela is the Coordinating Professor of the Research Program in Privacy-preserving and Secure AI at the Finnish Center for Artificial��

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]]> 0 Jiwei Liu <![CDATA[Gauss Rank Transformation Is 100x Faster with RAPIDS and CuPy]]> http://www.open-lab.net/blog/?p=32741 2022-08-21T23:51:54Z 2021-06-11T15:00:00Z As explained in the Batch Normalization paper, training neural networks becomes way easier if its input is Gaussian. This is clear. And if your model inputs are...]]> As explained in the Batch Normalization paper, training neural networks becomes way easier if its input is Gaussian. This is clear. And if your model inputs are...

As explained in the Batch Normalization paper, training neural networks becomes way easier if its input is Gaussian. This is clear. And if your model inputs are not Gaussian, RAPIDS will just transform it to Gaussian in the blink of an eye. Gauss rank transformation is a novel standardization technique to transform input data for training deep neural networks. Recently, we used this technique��

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