A linear programming approach to water-resources optimization. - Pablo M. Jacovkis; Mario H. Gradowczyk; Ana Maria Freisztav; Esteban G. Tabak (ZOR Methods Model. Oper. Res., 1989)

A PseudoSpectral Procedure for the Solution of Nonlinear Wave Equations with Examples from Free-Surface Flows. - Paul A. Milewski; Esteban G. Tabak (SIAM J. Sci. Comput., 1999)

An Optimization Approach to Modeling Sea Ice Dynamics, Part 2: Finite Ice Strength Effects. - Helga S. Huntley; Esteban G. Tabak (SIAM J. Appl. Math., 2007)

An Optimization Approach to Modeling Sea Ice Dynamics. Part 1: Lagrangian Framework. - Helga S. Huntley; Esteban G. Tabak; Edward H. Suh (SIAM J. Appl. Math., 2007)

Clustering and Classification through Normalizing Flows in Feature Space. - Juan P. Agnelli; M. Cadeiras; Esteban G. Tabak; Cristina Vilma Turner; Eric Vanden-Eijnden (Multiscale Model. Simul., 2010)

Principal components: A descent algorithm. - Rebeca Salas-Boni; Esteban G. Tabak (J. Comput. Phys., 2014)

Preconditioning of Optimal Transport. - Max Kuang; Esteban G. Tabak (SIAM J. Sci. Comput., 2017)

Feasibility of a machine learning based method to generate personalized nutrition goals for diabetes self-management. - Elliot G. Mitchell; Marissa Burgermaster; Elizabeth M. Heitkemper; Matthew E. Levine; Yishen Miao; Esteban G. Tabak; Arlene M. Smaldone; David J. Albers; Lena Mamykina (AMIA, 2019)

Machine learning for personalized decision support with patient-generated health data. - Elliot G. Mitchell; Lena Mamykina; Matthew E. Levine; Esteban G. Tabak; David J. Albers (AMIA, 2019)

Time-Series Analysis via Low-Rank Matrix Factorization Applied to Infant-Sleep Data. - Sheng Liu; Mark Cheng; Hayley Brooks; Wayne E. Mackey; David J. Heeger; Esteban G. Tabak; Carlos Fernandez-Granda (CoRR, 2019)

Adversarial Optimal Transport Through The Convolution Of Kernels With Evolving Measures. - Daeyoung Kim; Esteban G. Tabak (CoRR, 2020)

Conditional density estimation and simulation through optimal transport. - Esteban G. Tabak; Giulio Trigila; Wenjun Zhao 002 (Mach. Learn., 2020)

From Reflection to Action: Combining Machine Learning with Expert Knowledge for Nutrition Goal Recommendations. - Elliot G. Mitchell; Elizabeth M. Heitkemper; Marissa Burgermaster; Matthew E. Levine; Yishen Miao; Maria L. Hwang; Pooja M. Desai; Andrea Cassells; Jonathan N. Tobin; Esteban G. Tabak; David J. Albers; Arlene M. Smaldone; et al. (CHI, 2021)

Enabling personalized decision support with patient-generated data and attributable components. - Elliot G. Mitchell; Esteban G. Tabak; Matthew E. Levine; Lena Mamykina; David J. Albers (J. Biomed. Informatics, 2021)

Data driven conditional optimal transport. - Esteban G. Tabak; Giulio Trigila; Wenjun Zhao 002 (Mach. Learn., 2021)

Distributional barycenter problem through data-driven flows. - Esteban G. Tabak; Giulio Trigila; Wenjun Zhao 002 (Pattern Recognit., 2022)

An implicit gradient-descent procedure for minimax problems. - Montacer Essid; Esteban G. Tabak; Giulio Trigila (Math. Methods Oper. Res., 2023)