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Esteban 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)
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