SISP: Simplified interface for stochastic programmingEstablishing a Hard Link between Mathematical Programming Modeling Languages and SMPS Codes. - Christian Condevaux-Lanloy; Emmanuel Fragnière; Alan King (Optim. Methods Softw., 2002)

Optimizations in financial engineering: The Least-Squares Monte Carlo method of Longstaff and Schwartz. - Anamitra R. Choudhury; Alan King; Sunil Kumar; Yogish Sabharwal (IPDPS, 2008)

Asynchronous task dispatch for high throughput computing for the eServer IBM Blue Gene® Supercomputer. - Amanda E. Peters; Alan King; Tom Budnik; Paul McCarthy; Pat Michaud; Mike Mundy; Jim Sexton; Greg Stewart (IPDPS, 2008)

BSSRDF importance sampling. - Alan King; Christopher D. Kulla; Alejandro Conty; Marcos Fajardo (SIGGRAPH Talks, 2013)

An Area-Preserving Parametrization for Spherical Rectangles. - Carlos Ureña; Marcos Fajardo; Alan King (Comput. Graph. Forum, 2013)

Area-Preserving Parameterizations for Spherical Ellipses. - Ibón Guillén; Carlos Ureña; Alan King; Marcos Fajardo; Iliyan Georgiev; Jorge Lopez-Moreno; Adrián Jarabo (Comput. Graph. Forum, 2017)

Arnold: A Brute-Force Production Path Tracer. - Iliyan Georgiev; Thiago Ize; Mike Farnsworth; Ramón Montoya-Vozmediano; Alan King; Brecht Van Lommel; Angel Jimenez; Oscar Anson; Shinji Ogaki; Eric Johnston; Adrien Herubel; Declan Russell; et al. (ACM Trans. Graph., 2018)

Accelerating Physics-Based Simulations Using Neural Network Proxies: An Application in Oil Reservoir Modeling. - Jirí Navrátil 001; Alan King; Jesus Rios; Georgios Kollias; Ruben Rodriguez Torrado; Andrés Codas (CoRR, 2019)

Accelerating Physics-Based Simulations Using End-to-End Neural Network Proxies: An Application in Oil Reservoir Modeling. - Jirí Navrátil 001; Alan King; Jesus Rios; Georgios Kollias; Ruben Rodriguez Torrado; Andrés Codas (Frontiers Big Data, 2019)

Privacy-Preserving Federated Learning over Vertically and Horizontally Partitioned Data for Financial Anomaly Detection. - Swanand Ravindra Kadhe; Heiko Ludwig; Nathalie Baracaldo; Alan King; Yi Zhou 015; Keith Houck; Ambrish Rawat; Mark Purcell; Naoise Holohan; Mikio Takeuchi; Ryo Kawahara; Nir Drucker; et al. (CoRR, 2023)