Topological deep learning (TDL) is a rapidly evolving field that uses topological features to
understand and design deep learning models. This paper posits that TDL may complement …

Topological deep learning (TDL) is a rapidly evolving field that uses topological features to
understand and design deep learning models. This paper posits that TDL is the new frontier …

The vector autoregressive (VAR) model is extensively employed for modelling dynamic
processes, yet its scalability is challenged by an overwhelming growth in parameters when …

In this work, we focus on recovering signals over simplicial complexes from subsampled
observations. In particular, we subsample a simplicial signal of a certain order and focus on …