74 citations · 327 across the 29 of their papers we have counts for
32 papers
Cluster Flow: how a hierarchical clustering layer make allows deep-NNs more resilient to hacking, more human-like and easily implements relational reasoning
Ella Gale, Oliver Matthews
Despite the huge recent breakthroughs in neural networks (NNs) for artificial intelligence (specifically deep convolutional networks) such NNs do not achieve human-level performanc…
Icospherical Chemical Objects (ICOs) allow for chemical data augmentation and maintain rotational, translation and permutation invariance
Ella Gale
Dataset augmentation is a common way to deal with small datasets; Chemistry datasets are often small. Spherical convolutional neural networks (SphNNs) and Icosahedral neural networ…
Shape is (almost) all!: Persistent homology features (PHFs) are an information rich input for efficient molecular machine learning
Ella Gale
3-D shape is important to chemistry, but how important? Machine learning works best when the inputs are simple and match the problem well. Chemistry datasets tend to be very small…
Are there any 'object detectors' in the hidden layers of CNNs trained to identify objects or scenes?
Ella M. Gale, Nicholas Martin, Ryan Blything +2
Various methods of measuring unit selectivity have been developed with the aim of better understanding how neural networks work. But the different measures provide divergent estima…
My, and others', spiking memristors are true memristors: a response to R.S. Williams' question at the New Memory Paradigms: Memristive Phenomena and Neuromorphic Applications Faraday Discussion
Ella M. Gale
At the Faraday Discussion, in the paper titled `Neuromorphic computation with spiking memristors: habituation, experimental instantiation of logic gates and a novel sequence-sensit…
When and where do feed-forward neural networks learn localist representations?
Ella M. Gale, Nicolas Martin, Jeffrey S. Bowers
According to parallel distributed processing (PDP) theory in psychology, neural networks (NN) learn distributed rather than interpretable localist representations. This view has be…