Esteban G. Tabak

Publication Activity (10 Years)

Years Active: 1989-2023
Publications (10 Years): 11

Top Topics

Machine Learning

Expert Knowledge

Convolution Kernel

Top Venues

Pattern Recognit.

Publications

Montacer Essid, Esteban G. Tabak, Giulio Trigila
An implicit gradient-descent procedure for minimax problems. Math. Methods Oper. Res. 97 (1) (2023)
Esteban G. Tabak, Giulio Trigila, Wenjun Zhao
Distributional barycenter problem through data-driven flows. Pattern Recognit. 130 (2022)
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, Lena Mamykina
From Reflection to Action: Combining Machine Learning with Expert Knowledge for Nutrition Goal Recommendations. CHI (2021)
Elliot G. Mitchell, Esteban G. Tabak, Matthew E. Levine, Lena Mamykina, David J. Albers
Enabling personalized decision support with patient-generated data and attributable components. J. Biomed. Informatics 113 (2021)
Esteban G. Tabak, Giulio Trigila, Wenjun Zhao
Data driven conditional optimal transport. Mach. Learn. 110 (11) (2021)
Daeyoung Kim, Esteban G. Tabak
Adversarial Optimal Transport Through The Convolution Of Kernels With Evolving Measures. CoRR (2020)
Esteban G. Tabak, Giulio Trigila, Wenjun Zhao
Conditional density estimation and simulation through optimal transport. Mach. Learn. 109 (4) (2020)
Elliot G. Mitchell, Marissa Burgermaster, Elizabeth M. Heitkemper, Matthew E. Levine, Yishen Miao, Esteban G. Tabak, Arlene M. Smaldone, David J. Albers, Lena Mamykina
Feasibility of a machine learning based method to generate personalized nutrition goals for diabetes self-management. AMIA (2019)
Elliot G. Mitchell, Lena Mamykina, Matthew E. Levine, Esteban G. Tabak, David J. Albers
Machine learning for personalized decision support with patient-generated health data. AMIA (2019)
Sheng Liu, Mark Cheng, Hayley Brooks, Wayne E. Mackey, David J. Heeger, Esteban G. Tabak, Carlos Fernandez-Granda
Time-Series Analysis via Low-Rank Matrix Factorization Applied to Infant-Sleep Data. CoRR (2019)
Max Kuang, Esteban G. Tabak
Preconditioning of Optimal Transport. SIAM J. Sci. Comput. 39 (4) (2017)
Rebeca Salas-Boni, Esteban G. Tabak
Principal components: A descent algorithm. J. Comput. Phys. 267 (2014)
Juan P. Agnelli, M. Cadeiras, Esteban G. Tabak, Cristina Vilma Turner, Eric Vanden-Eijnden
Clustering and Classification through Normalizing Flows in Feature Space. Multiscale Model. Simul. 8 (5) (2010)
Helga S. Huntley, Esteban G. Tabak
An Optimization Approach to Modeling Sea Ice Dynamics, Part 2: Finite Ice Strength Effects. SIAM J. Appl. Math. 67 (2) (2007)
Helga S. Huntley, Esteban G. Tabak, Edward H. Suh
An Optimization Approach to Modeling Sea Ice Dynamics. Part 1: Lagrangian Framework. SIAM J. Appl. Math. 67 (2) (2007)
Paul A. Milewski, Esteban G. Tabak
A PseudoSpectral Procedure for the Solution of Nonlinear Wave Equations with Examples from Free-Surface Flows. SIAM J. Sci. Comput. 21 (3) (1999)
Pablo M. Jacovkis, Mario H. Gradowczyk, Ana Maria Freisztav, Esteban G. Tabak
A linear programming approach to water-resources optimization. ZOR Methods Model. Oper. Res. 33 (5) (1989)