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Manifold Learning with Sparse Regularised Optimal Transport

Manifold Learning with Sparse Regularised Optimal Transport

19 July 2023
Stephen X. Zhang
Gilles Mordant
Tetsuya Matsumoto
Geoffrey Schiebinger
    OT
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Papers citing "Manifold Learning with Sparse Regularised Optimal Transport"

6 / 6 papers shown
Title
Partially Observed Trajectory Inference using Optimal Transport and a Dynamics Prior
Partially Observed Trajectory Inference using Optimal Transport and a Dynamics Prior
Anming Gu
Edward Chien
Kristjan Greenewald
46
4
0
11 Jun 2024
Empirical Optimal Transport under Estimated Costs: Distributional Limits
  and Statistical Applications
Empirical Optimal Transport under Estimated Costs: Distributional Limits and Statistical Applications
Shayan Hundrieser
Gilles Mordant
C. Weitkamp
Axel Munk
OT
29
4
0
03 Jan 2023
Robust Inference of Manifold Density and Geometry by Doubly Stochastic
  Scaling
Robust Inference of Manifold Density and Geometry by Doubly Stochastic Scaling
Boris Landa
Xiuyuan Cheng
34
6
0
16 Sep 2022
An Optimal Transport Approach to Estimating Causal Effects via Nonlinear
  Difference-in-Differences
An Optimal Transport Approach to Estimating Causal Effects via Nonlinear Difference-in-Differences
William Torous
F. Gunsilius
Philippe Rigollet
OT
52
15
0
12 Aug 2021
Towards a mathematical theory of trajectory inference
Towards a mathematical theory of trajectory inference
Hugo Lavenant
Stephen X. Zhang
Young-Heon Kim
Geoffrey Schiebinger
21
40
0
18 Feb 2021
Geodesics in Heat
Geodesics in Heat
Keenan Crane
C. Weischedel
M. Wardetzky
50
496
0
24 Apr 2012
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