Russell Tsuchida
3 papers in the PaperMetrix corpus
Papers by this author
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Exchangeability and Kernel Invariance in Trained MLPs
2018 · arXiv (Cornell University)
In the analysis of machine learning models, it is often convenient to assume that the parameters are IID. This assumption is not satisfied when the parameters are updated through training processes such as SGD. A …
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Exchangeability and Kernel Invariance in Trained MLPs
2019
In the analysis of machine learning models, it is often convenient to assume that the parameters are IID. This assumption is not satisfied when the parameters are updated through training processes such as Stochastic Gradient …
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Exact, Fast and Expressive Poisson Point Processes via Squared Neural Families
2024 · Proceedings of the AAAI Conference on Artificial Intelligence
We introduce squared neural Poisson point processes (SNEPPPs) by parameterising the intensity function by the squared norm of a two layer neural network. When the hidden layer is fixed and the second layer has a …