Search Results for author: Dominykas Šeputis

Found 1 papers, 1 papers with code

Challenges and opportunities in applying Neural Temporal Point Processes to large scale industry data

1 code implementation18 Aug 2022 Dominykas Šeputis, Jevgenij Gamper, Remigijus Paulavičius

In this work, we identify open research opportunities in applying Neural Temporal Point Process (NTPP) models to industry scale customer behavior data by carefully reproducing NTPP models published up to date on known literature benchmarks as well as applying NTPP models to a novel, real world consumer behavior dataset that is twice as large as the largest publicly available NTPP benchmark.

Point Processes

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