2 citations · 2 across the 2 of their papers we have counts for
3 papers
cs.LG2025
The Effect of Attention Head Count on Transformer Approximation
Penghao Yu, Haotian Jiang, Zeyu Bao +2
Transformer has become the dominant architecture for sequence modeling, yet a detailed understanding of how its structural parameters influence expressive power remains limited. In…
cs.LG2025
The Effect of Depth on the Expressivity of Deep Linear State-Space Models
Zeyu Bao, Penghao Yu, Haotian Jiang +1
Deep state-space models (SSMs) have gained increasing popularity in sequence modelling. While there are numerous theoretical investigations of shallow SSMs, how the depth of the SS…
cs.LG2021★ 2 cited
Approximation Theory of Convolutional Architectures for Time Series Modelling
Haotian Jiang, Zhong Li, Qianxiao Li
We study the approximation properties of convolutional architectures applied to time series modelling, which can be formulated mathematically as a functional approximation problem.…