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ORCIDEsteban G. Tabak
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2020 – today
- 2023
[j12]Montacer Essid, Esteban G. Tabak, Giulio Trigila
:
An implicit gradient-descent procedure for minimax problems. Math. Methods Oper. Res. 97(1): 57-89 (2023)- 2022
- [j11]Esteban G. Tabak, Giulio Trigila, Wenjun Zhao:
Distributional barycenter problem through data-driven flows. Pattern Recognit. 130: 108795 (2022) - 2021
- [j10]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: 103639 (2021) - [j9]Esteban G. Tabak, Giulio Trigila, Wenjun Zhao:
Data driven conditional optimal transport. Mach. Learn. 110(11): 3135-3155 (2021) - [c3]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: 206:1-206:17 - 2020
- [j8]Esteban G. Tabak, Giulio Trigila, Wenjun Zhao:
Conditional density estimation and simulation through optimal transport. Mach. Learn. 109(4): 665-688 (2020) - [i2]Daeyoung Kim, Esteban G. Tabak:
Adversarial Optimal Transport Through The Convolution Of Kernels With Evolving Measures. CoRR abs/2006.04245 (2020)
2010 – 2019
- 2019
- [c2]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 - [c1]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 - [i1]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 abs/1904.04780 (2019) - 2017
- [j7]Max Kuang, Esteban G. Tabak:
Preconditioning of Optimal Transport. SIAM J. Sci. Comput. 39(4) (2017) - 2014
- [j6]Rebeca Salas-Boni, Esteban G. Tabak:
Principal components: A descent algorithm. J. Comput. Phys. 267: 162-175 (2014) - 2010
- [j5]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): 1784-1802 (2010)
2000 – 2009
- 2007
- [j4]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): 543-560 (2007) - [j3]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): 561-581 (2007)
1990 – 1999
- 1999
- [j2]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): 1102-1114 (1999)
1980 – 1989
- 1989
- [j1]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): 341-362 (1989)
Coauthor Index
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