Luke Bornn

Publication Activity (10 Years)

Years Active: 2013-2021
Publications (10 Years): 12

Top Topics

Sequential Monte Carlo

Simulated Annealing

Latent Dirichlet Allocation

Top Venues

Publications

Nathan Sandholtz, Yohsuke Miyamoto, Luke Bornn, Maurice Smith
Inverse Bayesian Optimization: Learning Human Search Strategies in a Sequential Optimization Task. CoRR (2021)
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) (2021)
Javier Fernández, Luke Bornn
SoccerMap: A Deep Learning Architecture for Visually-Interpretable Analysis in Soccer. CoRR (2020)
Javier Fernández, Luke Bornn, Daniel Cervone
A framework for the fine-grained evaluation of the instantaneous expected value of soccer possessions. CoRR (2020)
Javier Fernández, Luke Bornn
SoccerMap: A Deep Learning Architecture for Visually-Interpretable Analysis in Soccer. ECML/PKDD (5) (2020)
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 (2018)
Mathieu Gerber, Luke Bornn
Improving simulated annealing through derandomization. J. Glob. Optim. 68 (1) (2017)
Matthew van Bommel, Luke Bornn
Adjusting for scorekeeper bias in NBA box scores. Data Min. Knowl. Discov. 31 (6) (2017)
Nazanin Mehrasa, Yatao Zhong, Frederick Tung, Luke Bornn, Greg Mori
Learning Person Trajectory Representations for Team Activity Analysis. CoRR (2017)
Steven Wu, Luke Bornn
Modeling offensive player movement in professional basketball. PeerJ Prepr. 5 (2017)
Luke Bornn, Natesh S. Pillai, Aaron Smith, Dawn Woodard
The use of a single pseudo-sample in approximate Bayesian computation. Stat. Comput. 27 (3) (2017)
Yutian Chen, Luke Bornn, Nando de Freitas, Mareija Eskelin, Jing Fang, Max Welling
Herded Gibbs Sampling. J. Mach. Learn. Res. 17 (2016)
Andrew C. Miller, Luke Bornn, Ryan P. Adams, Kirk Goldsberry
Factorized Point Process Intensities: A Spatial Analysis of Professional Basketball. ICML (2014)
Nematollah Kayhan Batmanghelich, Gerald T. Quon, Alex Kulesza, Manolis Kellis, Polina Golland, Luke Bornn
Diversifying Sparsity Using Variational Determinantal Point Processes. CoRR (2014)
Michael Cherkassky, Luke Bornn
Sequential Monte Carlo Bandits. CoRR (2013)
Luke Bornn, Yutian Chen, Nando de Freitas, Mareija Eskelin, Jing Fang, Max Welling
Herded Gibbs Sampling ICLR (2013)