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10/06/2022
Scaling up Stochastic Gradient Descent for Non-convex Optimisation
Stochastic gradient descent (SGD) is a widely adopted iterative method f...
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02/12/2022
Evolving Neural Networks with Optimal Balance between Information Flow and Connections Cost
Evolving Neural Networks (NNs) has recently seen an increasing interest ...
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03/24/2021
Toward Building Science Discovery Machines
The dream of building machines that can do science has inspired scientis...
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10/25/2019
Online Gaussian LDA for Unsupervised Pattern Mining from Utility Usage Data
Non-intrusive load monitoring (NILM) aims at separating a whole-home ene...
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01/12/2018
