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ORCIDDavid Uminsky 0001
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- affiliation: University of Chicago, IL, USA
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2020 – today
- 2022
[j7]Rachel L. Thomas, David Uminsky:
Reliance on metrics is a fundamental challenge for AI. Patterns 3(5): 100476 (2022)- [c8]Daniel Grzenda
, Trevor Spreadbury, Joeva Rock, Brian Dowd-Uribe, David Uminsky:
OMGMO: Original Multi-modal Dataset of Genetically Modified Organisms in African Agriculture. SocInfo 2022: 414-425 - 2021
- [c7]Tahir Bachar Issa, David Uminsky, A. Shaw, R. Makipour, Ross W. Filice:
Toward Automatic Mammography Auditing via Universal Language Model Fine Tuning. IRI 2021: 215-222 - 2020
- [j6]Paul Samuel Ignacio, Jay-Anne Bulauan, David Uminsky:
Lumáwig: An Efficient Algorithm for Dimension Zero Bottleneck Distance Computation in Topological Data Analysis. Algorithms 13(11): 291 (2020) - [c6]Tahir Bachar Issa, C. Vinegoni, A. Shaw, P. F. Feruglio, Ralph Weissleder, David Uminsky:
Video-rate acquisition fluorescence microscopy via generative adversarial networks. BIBE 2020: 569-576 - [i6]Rachel L. Thomas, David Uminsky:
The Problem with Metrics is a Fundamental Problem for AI. CoRR abs/2002.08512 (2020) - [i5]Paul Samuel Ignacio, Jay-Anne Bulauan, David Uminsky:
LUMÁWIG: An Efficient Algorithm for Dimension Zero Bottleneck Distance Computation in Topological Data Analysis. CoRR abs/2010.00371 (2020)
2010 – 2019
- 2019
- [c5]David Uminsky, Mario Banuelos, Lillian González-Albino, Rosa Garza, Sylvia Akueze Nwakanma:
Detecting Higher Order Genomic Variant Interactions with Spectral Analysis. EUSIPCO 2019: 1-5 - [c4]Paul Samuel Ignacio, Christopher Dunstan, Esteban Escobar, Luke Trujillo, David Uminsky:
Classification of Single-Lead Electrocardiograms: TDA Informed Machine Learning. ICMLA 2019: 1241-1246 - [i4]Paul Samuel Ignacio, David Uminsky, Christopher Dunstan, Esteban Escobar, Luke Trujillo:
Classification of Single-lead Electrocardiograms: TDA Informed Machine Learning. CoRR abs/1911.12253 (2019) - 2018
- [i3]Jackson Abascal, Amadou Bah, Mario Banuelos, David Uminsky, Olivia Vasquez:
A Non-iterative Parallelizable Eigenbasis Algorithm for Johnson Graphs. CoRR abs/1812.04230 (2018) - 2017
- [i2]James D. Wilson, David T. Uminsky:
The power of A/B testing under interference. CoRR abs/1710.03855 (2017) - 2014
- [c3]Paul E. Anderson, James W. McGuffee, David Uminsky:
Data science as an undergraduate degree. SIGCSE 2014: 705-706 - 2013
- [c2]Xavier Bresson, Thomas Laurent, David Uminsky, James H. von Brecht:
Multiclass Total Variation Clustering. NIPS 2013: 1421-1429 - [i1]Xavier Bresson, Thomas Laurent, David Uminsky, James H. von Brecht:
Multiclass Total Variation Clustering. CoRR abs/1306.1185 (2013) - 2012
- [j5]David Uminsky, C. Eugene Wayne, Alethea B. T. Barbaro:
A multi-moment vortex method for 2D viscous fluids. J. Comput. Phys. 231(4): 1705-1727 (2012) - [j4]James H. von Brecht, David Uminsky:
On Soccer Balls and Linearized Inverse Statistical Mechanics. J. Nonlinear Sci. 22(6): 935-959 (2012) - [j3]Hui Sun, David Uminsky, Andrea L. Bertozzi:
A Generalized Birkhoff-Rott Equation for Two-dimensional Active Scalar Problems. SIAM J. Appl. Math. 72(1): 382-404 (2012) - [c1]Xavier Bresson, Thomas Laurent, David Uminsky, James H. von Brecht:
Convergence and Energy Landscape for Cheeger Cut Clustering. NIPS 2012: 1394-1402
2000 – 2009
- 2009
- [j2]Raymond J. Nagem, Guido V. H. Sandri, David Uminsky, C. Eugene Wayne:
Generalized Helmholtz-Kirchhoff Model for Two-Dimensional Distributed Vortex Motion. SIAM J. Appl. Dyn. Syst. 8(1): 160-179 (2009) - 2007
- [j1]David Uminsky, Karen A. Yeats:
Unbounded Regions of Infinitely Logconcave Sequences. Electron. J. Comb. 14(1) (2007)
Coauthor Index
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