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Categorical Representation Learning and RG flow operators for algorithmic classifiers
In particular we apply the RG categorifier to particular genomic sequences of flu viruses and show how our technology is capable of extracting the information from given genomic sequences, find their hidden symmetries and dominant features, classify them and use the trained data to make stochastic prediction of new plausible generated sequences associated with new set of viruses which could avoid the human immune system.
Categorical Representation Learning: Morphism is All You Need
The goal of the current article is to promote the representation learning to a new level via a $\textit{category-theoretic}$ approach.
Super $J$-holomorphic Curves: Construction of the Moduli Space
We call a map $\Phi\colon M\to N$ a super $J$-holomorphic curve if its differential maps the almost complex structure on $\mathcal{D}$ to $J$.
Differential Geometry Mathematical Physics Algebraic Geometry Mathematical Physics
