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Tom Needham
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- affiliation: Florida State University, Tallahassee, FL, USA
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2020 – today
- 2025
- [e1]Anatoly Anisimov, Vitaliy Snytyuk, Aldrich Chris, Andreas Pester, Frédéric Mallet, Iurii Krak, Nickolas Cogan, Oleg Chertov, Oleksandr Marchenko, Sándor Bozóki, Tom Needham, Vitaliy Tsyganok, Vladimir Vovk:
Selected Papers of the XI International Scientific Conference "Information Technology and Implementation" (IT&I 2024). Conference Proceedings, Kyiv, Ukraine, November 20-21, 2024. CEUR Workshop Proceedings 3909, CEUR-WS.org 2025 [contents] - 2024
- [j10]Samir Chowdhury, Tom Needham, Ethan Semrad, Bei Wang
, Youjia Zhou:
Hypergraph co-optimal transport: metric and categorical properties. J. Appl. Comput. Topol. 8(5): 1171-1230 (2024) - [j9]Martin Bauer, Nicolas Charon
Elastic Metrics on Spaces of Euclidean Curves: Theory and Algorithms. J. Nonlinear Sci. 34(3): 56 (2024) - [j8]Aditi Basu Bal
Statistical Analysis of Complex Shape Graphs. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 8788-8805 (2024) - [j7]Michael Wilson, Tom Needham, Chiwoo Park, Suparteek Kundu, Anuj Srivastava:
A Wasserstein-Type Distance for Gaussian Mixtures on Vector Bundles with Applications to Shape Analysis. SIAM J. Imaging Sci. 17(3): 1433-1466 (2024) - [c7]Justin Curry, Washington Mio, Tom Needham, Osman Berat Okutan, Florian Russold:
Stability and Approximations for Decorated Reeb Spaces. SoCG 2024: 44:1-44:17 - [i16]Stephen Y. Zhang, Michael P. H. Stumpf, Tom Needham, Agnese Barbensi:
Topological Optimal Transport for Geometric Cycle Matching. CoRR abs/2403.19097 (2024) - [i15]Martin Bauer, Facundo Mémoli, Tom Needham, Mao Nishino:
The Z-Gromov-Wasserstein Distance. CoRR abs/2408.08233 (2024) - [i14]Jannatul Chhoa, Michael Ivanitskiy, Fushuai Jiang, Shiying Li, Daniel McBride, Tom Needham, Kaiying O'Hare:
Metric properties of partial and robust Gromov-Wasserstein distances. CoRR abs/2411.02198 (2024) - [i13]Michael Wilson, Tom Needham, Anuj Srivastava:
Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport. CoRR abs/2411.10204 (2024) - 2023
- [j6]Tom Needham, Thomas Weighill
Geometric Averages of Partitioned Datasets. SIAM J. Appl. Algebra Geom. 7(1): 104-132 (2023) - [c6]Justin Curry, Washington Mio, Tom Needham, Osman Berat Okutan, Florian Russold:
Topologically Attributed Graphs for Shape Discrimination. TAG-ML 2023: 87-101 - [c5]Mingzhe Li
Comparing Morse Complexes Using Optimal Transport: An Experimental Study. IEEE VIS (Short Papers) 2023: 41-45 - [i12]Mingzhe Li, Xinyuan Yan, Lin Yan, Tom Needham, Bei Wang:
Flexible and Probabilistic Topology Tracking with Partial Optimal Transport. CoRR abs/2302.02895 (2023) - [i11]Justin Curry, Washington Mio, Tom Needham, Osman Berat Okutan, Florian Russold:
Topologically Attributed Graphs for Shape Discrimination. CoRR abs/2306.17805 (2023) - [i10]Mingzhe Li, Carson Storm, Austin Yang Li, Tom Needham, Bei Wang:
Comparing Morse Complexes Using Optimal Transport: An Experimental Study. CoRR abs/2309.04681 (2023) - [i9]Justin Curry
Stability and Approximations for Decorated Reeb Spaces. CoRR abs/2312.01982 (2023) - 2022
- [j5]Justin Curry
Decorated merge trees for persistent topology. J. Appl. Comput. Topol. 6(3): 371-428 (2022) - 2021
- [j4]Tom Needham
Symplectic geometry and connectivity of spaces of frames. Adv. Comput. Math. 47(1): 5 (2021) - [c4]Samir Chowdhury, Tom Needham:
Generalized Spectral Clustering via Gromov-Wasserstein Learning. AISTATS 2021: 712-720 - [c3]Samir Chowdhury, David Miller, Tom Needham:
Quantized Gromov-Wasserstein. ECML/PKDD (3) 2021: 811-827 - [i8]Samir Chowdhury, David Miller, Tom Needham:
Quantized Gromov-Wasserstein. CoRR abs/2104.02013 (2021) - [i7]Tom Needham, Thomas Weighill:
Geometric averages of partitioned datasets. CoRR abs/2107.03460 (2021) - [i6]Samir Chowdhury, Tom Needham, Ethan Semrad, Bei Wang, Youjia Zhou:
Hypergraph Co-Optimal Transport: Metric and Categorical Properties. CoRR abs/2112.03904 (2021) - 2020
- [j3]Tom Needham, Sebastian Kurtek:
Simplifying Transforms for General Elastic Metrics on the Space of Plane Curves. SIAM J. Imaging Sci. 13(1): 445-473 (2020) - [c2]Samir Chowdhury, Tom Needham:
Gromov-Wasserstein Averaging in a Riemannian Framework. CVPR Workshops 2020: 3676-3684 - [c1]Qitong Jiang, Sebastian Kurtek, Tom Needham:
The Weighted Euler Curve Transform for Shape and Image Analysis. CVPR Workshops 2020: 3685-3694 - [i5]Qitong Jiang, Sebastian Kurtek, Tom Needham:
The Weighted Euler Curve Transform for Shape and Image Analysis. CoRR abs/2004.11128 (2020) - [i4]Samir Chowdhury, Tom Needham:
Generalized Spectral Clustering via Gromov-Wasserstein Learning. CoRR abs/2006.04163 (2020) - [i3]Xiaoyang Guo, Aditi Basu Bal, Tom Needham, Anuj Srivastava:
Statistical shape analysis of brain arterial networks (BAN). CoRR abs/2007.04793 (2020)
2010 – 2019
- 2019
- [j2]Tom Needham
Shape Analysis of Framed Space Curves. J. Math. Imaging Vis. 61(8): 1154-1172 (2019) - [j1]Jason Cantarella
Random Triangles and Polygons in the Plane. Am. Math. Mon. 126(2): 113-134 (2019) - [i2]Samir Chowdhury, Tom Needham:
Gromov-Wasserstein Averaging in a Riemannian Framework. CoRR abs/1910.04308 (2019) - 2018
- [i1]Tom Needham:
Shape analysis of framed space curves. CoRR abs/1807.03477 (2018)
Coauthor Index
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