2 papers
cs.LG2026
Learning Large-Scale Modular Addition with an Auxiliary Modulus
Hanato Kikuchi, Ryosuke Masuya, Kazuhiko Kawamoto +1
Learning parity functions, more general modular addition, is a challenging machine learning task due to its input sensitivity. A recent study substantially scaled modular addition…
math.AG2023
Poncelet's closure theorem and the embedded topology of conic-line arrangements
Shinzo Bannai, Ryosuke Masuya, Taketo Shirane +2
In this paper, we consider conic-line arrangements that arise from Poncelet's closure theorem. We study unramified double covers of the union of two conics, that are induced by a $…