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Vision Transformer Pruning Via Matrix Decomposition
This is a further development of Vision Transformer Pruning via matrix decomposition.
Topological Interpretations of GPT-3
Based on each distance matrix, we compute the correlation of distances of a sentence vector with respect to the other sentence vectors in an embedding space.
P-tensors: a General Formalism for Constructing Higher Order Message Passing Networks
Several recent papers have recently shown that higher order graph neural networks can achieve better accuracy than their standard message passing counterparts, especially on highly structured graphs such as molecules.
Clustering US Counties to Find Patterns Related to the COVID-19 Pandemic
When COVID-19 first started spreading and quarantine was implemented, the Society for Industrial and Applied Mathematics (SIAM) Student Chapter at the University of Minnesota-Twin Cities began a collaboration with Ecolab to use our skills as data scientists and mathematicians to extract useful insights from relevant data relating to the pandemic.
