4 papers · 1 filter
Tensor Polynomial Additive Model
Yang Chen, Ce Zhu, Jiani Liu +1
Additive models can be used for interpretable machine learning for their clarity and simplicity. However, In the classical models for high-order data, the vectorization operation d…
Inverse-Free Fast Natural Gradient Descent Method for Deep Learning
Xinwei Ou, Ce Zhu, Xiaolin Huang +1
Second-order optimization techniques have the potential to achieve faster convergence rates compared to first-order methods through the incorporation of second-order derivatives or…
HOIN: High-Order Implicit Neural Representations
Yang Chen, Ruituo Wu, Yipeng Liu +1
Implicit neural representations (INR) suffer from worsening spectral bias, which results in overly smooth solutions to the inverse problem. To deal with this problem, we propose a…
S^2MVTC: a Simple yet Efficient Scalable Multi-View Tensor Clustering
Zhen Long, Qiyuan Wang, Yazhou Ren +2
Anchor-based large-scale multi-view clustering has attracted considerable attention for its effectiveness in handling massive datasets. However, current methods mainly seek the con…