Luke Bornn

According to our database1, Luke Bornn authored at least 13 papers between 2013 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2021
A framework for the fine-grained evaluation of the instantaneous expected value of soccer possessions.
Mach. Learn., 2021

Inverse Bayesian Optimization: Learning Human Search Strategies in a Sequential Optimization Task.
CoRR, 2021

2020
SoccerMap: A Deep Learning Architecture for Visually-Interpretable Analysis in Soccer.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track, 2020

2018
Time Perception Machine: Temporal Point Processes for the When, Where and What of Activity Prediction.
CoRR, 2018

2017
The use of a single pseudo-sample in approximate Bayesian computation.
Stat. Comput., 2017

Modeling offensive player movement in professional basketball.
PeerJ Prepr., 2017

Improving simulated annealing through derandomization.
J. Glob. Optim., 2017

Adjusting for scorekeeper bias in NBA box scores.
Data Min. Knowl. Discov., 2017

Learning Person Trajectory Representations for Team Activity Analysis.
CoRR, 2017

2014
Diversifying Sparsity Using Variational Determinantal Point Processes.
CoRR, 2014

Factorized Point Process Intensities: A Spatial Analysis of Professional Basketball.
Proceedings of the 31th International Conference on Machine Learning, 2014

2013
Herded Gibbs Sampling
Proceedings of the 1st International Conference on Learning Representations, 2013

Sequential Monte Carlo Bandits.
CoRR, 2013


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