2 papers
cs.LG2026
Causal Representation Learning with Instantaneous and Lagged Relations via Nonstationarity
Tatsuya Yamada, Hiroshi Morioka, Yoshinobu Kawahara
Causal representation learning for time-series data aims to identify latent states and their causal relations from observations. In this setting, an important challenge is to model…
math.NT2026
Secondary terms in the distribution of genus numbers of cubic fields
Tatsuya Yamada
We prove the existence of secondary terms of order in the asymptotic formulas for the average size of the genus number of cubic fields and for the number of cubic fields…