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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
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Papers citing "Partially Observed Trajectory Inference using Optimal Transport and a Dynamics Prior"

22 / 22 papers shown
Title
Joint Velocity-Growth Flow Matching for Single-Cell Dynamics Modeling
Joint Velocity-Growth Flow Matching for Single-Cell Dynamics Modeling
Dongyi Wang
Yuanwei Jiang
Zhenyi Zhang
Xiang Gu
Peijie Zhou
Jian Sun
63
0
0
19 May 2025
Mirror Mean-Field Langevin Dynamics
Mirror Mean-Field Langevin Dynamics
Anming Gu
Juno Kim
54
0
0
05 May 2025
Learning stochastic dynamics from snapshots through regularized unbalanced optimal transport
Learning stochastic dynamics from snapshots through regularized unbalanced optimal transport
Zhenyi Zhang
Tiejun Li
Peijie Zhou
OT
185
9
0
01 Oct 2024
Mamba: Linear-Time Sequence Modeling with Selective State Spaces
Mamba: Linear-Time Sequence Modeling with Selective State Spaces
Albert Gu
Tri Dao
Mamba
114
2,552
0
01 Dec 2023
Manifold learning in Wasserstein space
Manifold learning in Wasserstein space
Keaton Hamm
Caroline Moosmüller
Bernhard Schmitzer
Matthew Thorpe
72
5
0
14 Nov 2023
Nonlinear Filtering with Brenier Optimal Transport Maps
Nonlinear Filtering with Brenier Optimal Transport Maps
Mohammad Al-Jarrah
Niyizhen Jin
Bamdad Hosseini
Amirhossein Taghvaei
52
3
0
21 Oct 2023
Flow Factorized Representation Learning
Flow Factorized Representation Learning
Yue Song
Thomas Anderson Keller
N. Sebe
Max Welling
DRL
OOD
89
3
0
22 Sep 2023
Manifold Learning with Sparse Regularised Optimal Transport
Manifold Learning with Sparse Regularised Optimal Transport
Stephen X. Zhang
Gilles Mordant
Tetsuya Matsumoto
Geoffrey Schiebinger
OT
49
12
0
19 Jul 2023
Latent Traversals in Generative Models as Potential Flows
Latent Traversals in Generative Models as Potential Flows
Yue Song
Andy Keller
N. Sebe
Max Welling
DRL
73
10
0
25 Apr 2023
Uniform-in-time propagation of chaos for mean field Langevin dynamics
Uniform-in-time propagation of chaos for mean field Langevin dynamics
Fan Chen
Zhenjie Ren
Song-bo Wang
73
30
0
06 Dec 2022
Trajectory Inference via Mean-field Langevin in Path Space
Trajectory Inference via Mean-field Langevin in Path Space
Lénaïc Chizat
Stephen X. Zhang
Matthieu Heitz
Geoffrey Schiebinger
45
24
0
14 May 2022
The Schrödinger Bridge between Gaussian Measures has a Closed Form
The Schrödinger Bridge between Gaussian Measures has a Closed Form
Charlotte Bunne
Ya-Ping Hsieh
Marco Cuturi
Andreas Krause
OT
49
49
0
11 Feb 2022
Convex Analysis of the Mean Field Langevin Dynamics
Convex Analysis of the Mean Field Langevin Dynamics
Atsushi Nitanda
Denny Wu
Taiji Suzuki
MLT
82
65
0
25 Jan 2022
Proximal Optimal Transport Modeling of Population Dynamics
Proximal Optimal Transport Modeling of Population Dynamics
Charlotte Bunne
Laetitia Meng-Papaxanthos
Andreas Krause
Marco Cuturi
OT
68
85
0
11 Jun 2021
Score-based Generative Modeling in Latent Space
Score-based Generative Modeling in Latent Space
Arash Vahdat
Karsten Kreis
Jan Kautz
DiffM
39
667
0
10 Jun 2021
Fast and Smooth Interpolation on Wasserstein Space
Fast and Smooth Interpolation on Wasserstein Space
Sinho Chewi
Julien Clancy
Thibaut Le Gouic
Philippe Rigollet
George Stepaniants
Austin J. Stromme
33
24
0
22 Oct 2020
TrajectoryNet: A Dynamic Optimal Transport Network for Modeling Cellular Dynamics
TrajectoryNet: A Dynamic Optimal Transport Network for Modeling Cellular Dynamics
Alexander Tong
Jessie Huang
Guy Wolf
David van Dijk
Smita Krishnaswamy
57
167
0
09 Feb 2020
Mean-Field Langevin Dynamics and Energy Landscape of Neural Networks
Mean-Field Langevin Dynamics and Energy Landscape of Neural Networks
Kaitong Hu
Zhenjie Ren
David Siska
Lukasz Szpruch
MLT
41
105
0
19 May 2019
Analysis of a Two-Layer Neural Network via Displacement Convexity
Analysis of a Two-Layer Neural Network via Displacement Convexity
Adel Javanmard
Marco Mondelli
Andrea Montanari
MLT
78
57
0
05 Jan 2019
Computational Optimal Transport
Computational Optimal Transport
Gabriel Peyré
Marco Cuturi
OT
164
2,133
0
01 Mar 2018
Near-linear time approximation algorithms for optimal transport via Sinkhorn iteration
Near-linear time approximation algorithms for optimal transport via Sinkhorn iteration
Jason M. Altschuler
Jonathan Niles-Weed
Philippe Rigollet
OT
66
587
0
26 May 2017
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation Distances
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation Distances
Marco Cuturi
OT
166
4,210
0
04 Jun 2013

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