James Newling

E-mail: xy where x = james.new and y = ling@idiap.ch

I am a PhD candidate at the École polytechnique fédérale de Lausanne working under François Fleuret at the Idiap Research Institure. My research interest is in accelerating machine learning algorithms and software. My PhD work focuses on partitional clustering. Currently I am working on optimising GEMM (matrix multiplication) on AMD GPUs to accelerate neural network training.

Machine Learning Conference Proceedings


Work Experience


Mountain View

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