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researcher

Brian Keng

2 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1

Across the 1 of 2 papers where every author was matched, so the position is known.

fields
  • cs.LG1
  • stat.ML1

identity via Semantic Scholar / OpenAlex

most citedMultivariate Arrival Times with Recurrent Neural Networks for Personalized Demand Forecasting

3 citations · 3 across the 1 of their papers we have counts for

collaborators

2 papers

cs.LG2019

Generating Realistic Sequences of Customer-level Transactions for Retail Datasets

Thang Doan, Neil Veira, Saibal Ray +1

In order to better engage with customers, retailers rely on extensive customer and product databases which allows them to better understand customer behaviour and purchasing patter…

stat.ML2018★ 3 cited

Multivariate Arrival Times with Recurrent Neural Networks for Personalized Demand Forecasting

Tianle Chen, Brian Keng, Javier Moreno

Access to a large variety of data across a massive population has made it possible to predict customer purchase patterns and responses to marketing campaigns. In particular, accura…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.