3 citations · 6 across the 5 of their papers we have counts for
5 papers
Fine-Grained -Margin Closed-Form Stabilization of Parametric Hawkes Processes
Rafael Lima
Hawkes Processes have undergone increasing popularity as default tools for modeling self- and mutually exciting interactions of discrete events in continuous-time event streams. A…
Sequence-based Machine Learning Models in Jet Physics
Rafael Teixeira de Lima
Sequence-based modeling broadly refers to algorithms that act on data that is represented as an ordered set of input elements. In particular, Machine Learning algorithms with seque…
Hawkes Processes Modeling, Inference and Control: An Overview
Rafael Lima
Hawkes Processes are a type of point process which models self-excitement among time events. It has been used in a myriad of applications, ranging from finance and earthquakes to c…
Hawkes Process Kernel Structure Parametric Search with Renormalization Factors
Rafael Lima, Jaesik Choi
Hawkes Processes are a type of point process for modeling self-excitation, i.e., when the occurrence of an event makes future events more likely to occur. The corresponding self-tr…
Make Hawkes Processes Explainable by Decomposing Self-Triggering Kernels
Rafael Lima, Jaesik Choi
Hawkes Processes capture self-excitation and mutual-excitation between events when the arrival of an event makes future events more likely to happen. Identification of such tempora…