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Luke Bornn
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2020 – today
- 2021
- [j5]Javier Fernández
, Luke Bornn, Daniel Cervone:
A framework for the fine-grained evaluation of the instantaneous expected value of soccer possessions. Mach. Learn. 110(6): 1389-1427 (2021) - [i8]Nathan Sandholtz, Yohsuke Miyamoto, Luke Bornn, Maurice Smith:
Inverse Bayesian Optimization: Learning Human Search Strategies in a Sequential Optimization Task. CoRR abs/2104.09237 (2021) - 2020
- [c3]Javier Fernández
, Luke Bornn:
SoccerMap: A Deep Learning Architecture for Visually-Interpretable Analysis in Soccer. ECML/PKDD (5) 2020: 491-506 - [i7]Javier Fernández, Luke Bornn:
SoccerMap: A Deep Learning Architecture for Visually-Interpretable Analysis in Soccer. CoRR abs/2010.10202 (2020) - [i6]Javier Fernández, Luke Bornn, Daniel Cervone:
A framework for the fine-grained evaluation of the instantaneous expected value of soccer possessions. CoRR abs/2011.09426 (2020)
2010 – 2019
- 2018
- [i5]Yatao Zhong, Bicheng Xu, Guang-Tong Zhou, Luke Bornn, Greg Mori:
Time Perception Machine: Temporal Point Processes for the When, Where and What of Activity Prediction. CoRR abs/1808.04063 (2018) - 2017
- [j4]Matthew van Bommel
, Luke Bornn:
Adjusting for scorekeeper bias in NBA box scores. Data Min. Knowl. Discov. 31(6): 1622-1642 (2017) - [j3]Mathieu Gerber
, Luke Bornn:
Improving simulated annealing through derandomization. J. Glob. Optim. 68(1): 189-217 (2017) - [j2]Luke Bornn, Natesh S. Pillai, Aaron Smith, Dawn Woodard:
The use of a single pseudo-sample in approximate Bayesian computation. Stat. Comput. 27(3): 583-590 (2017) - [i4]Nazanin Mehrasa, Yatao Zhong, Frederick Tung, Luke Bornn, Greg Mori:
Learning Person Trajectory Representations for Team Activity Analysis. CoRR abs/1706.00893 (2017) - [i3]Steven Wu, Luke Bornn:
Modeling offensive player movement in professional basketball. PeerJ Prepr. 5: e3201 (2017) - 2016
- [j1]Yutian Chen, Luke Bornn, Nando de Freitas, Mareija Eskelin, Jing Fang, Max Welling:
Herded Gibbs Sampling. J. Mach. Learn. Res. 17: 10:1-10:29 (2016) - 2014
- [c2]Andrew C. Miller, Luke Bornn, Ryan P. Adams, Kirk Goldsberry:
Factorized Point Process Intensities: A Spatial Analysis of Professional Basketball. ICML 2014: 235-243 - [i2]Nematollah Kayhan Batmanghelich, Gerald T. Quon, Alex Kulesza, Manolis Kellis, Polina Golland, Luke Bornn:
Diversifying Sparsity Using Variational Determinantal Point Processes. CoRR abs/1411.6307 (2014) - 2013
- [c1]Luke Bornn, Yutian Chen, Nando de Freitas, Mareija Eskelin, Jing Fang, Max Welling:
Herded Gibbs Sampling. ICLR 2013 - [i1]Michael Cherkassky, Luke Bornn:
Sequential Monte Carlo Bandits. CoRR abs/1310.1404 (2013)
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