59 citations · 106 across the 4 of their papers we have counts for
5 papers
Loss Landscapes of Regularized Linear Autoencoders
Daniel Kunin, Jonathan M. Bloom, Aleksandrina Goeva +1
Autoencoders are a deep learning model for representation learning. When trained to minimize the distance between the data and its reconstruction, linear autoencoders (LAEs) learn…
A perturbation of the geometric spectral sequence in Khovanov homology
Sucharit Sarkar, Cotton Seed, Zoltan Szabo
We study the relationship between Bar-Natan's perturbation in Khovanov homology and Szabo's geometric spectral sequence, and construct a link invariant that generalizes both into a…
A Link Splitting Spectral Sequence in Khovanov Homology
Joshua Batson, Cotton Seed
We construct a new spectral sequence beginning at the Khovanov homology of a link and converging to the Khovanov homology of the disjoint union of its components. The page at which…
Computations of the Lipshitz-Sarkar Steenrod Square on Khovanov Homology
Cotton Seed
Lipshitz and Sarkar recently introduced a space-level refinement of Khovanov homology. This refinement induces a Steenrod square operation $\Sq^2$ on Khovanov homology which they d…
Computations of Szabó's Geometric Spectral Sequence in Khovanov Homology
Cotton Seed
Szabó recently introduced a combinatorially-defined spectral sequence in Khovanov homology. After reviewing its construction and explaining our methodology for computing it, we pre…