TrajectoryNet: A Dynamic Optimal Transport Network for Modeling Cellular Dynamics

9 February 2020

Alexander Tong

Jessie Huang

Guy Wolf

David van Dijk

Smita Krishnaswamy

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Papers citing "TrajectoryNet: A Dynamic Optimal Transport Network for Modeling Cellular Dynamics"

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Title
DynGFN: Towards Bayesian Inference of Gene Regulatory Networks with GFlowNets Lazar Atanackovic Alexander Tong Bo Wang Leo J. Lee Yoshua Bengio Jason S. Hartford BDL 34 21 0 08 Feb 2023
Improving and generalizing flow-based generative models with minibatch optimal transport Alexander Tong Kilian Fatras Nikolay Malkin G. Huguet Yanlei Zhang Jarrid Rector-Brooks Guy Wolf Yoshua Bengio OOD DiffM OT 39 231 0 01 Feb 2023
Transport with Support: Data-Conditional Diffusion Bridges Ella Tamir Martin Trapp Arno Solin DiffM OT 23 7 0 31 Jan 2023
Geometric path augmentation for inference of sparsely observed stochastic nonlinear systems Dimitra Maoutsa 24 1 0 19 Jan 2023
Geodesic Sinkhorn for Fast and Accurate Optimal Transport on Manifolds G. Huguet Alexander Tong María Ramos Zapatero Christopher J. Tape Guy Wolf Smita Krishnaswamy OT 9 6 0 02 Nov 2022
Action Matching: Learning Stochastic Dynamics from Samples Kirill Neklyudov Rob Brekelmans Daniel de Souza Severo Alireza Makhzani 19 41 0 13 Oct 2022
Flow Matching for Generative Modeling Y. Lipman Ricky T. Q. Chen Heli Ben-Hamu Maximilian Nickel Matt Le OOD 41 1,046 0 06 Oct 2022
Neural Conservation Laws: A Divergence-Free Perspective Jack Richter-Powell Y. Lipman Ricky T. Q. Chen 46 50 0 04 Oct 2022
Towards Learned Simulators for Cell Migration Koen Minartz Y. Poels Vlado Menkovski 34 1 0 02 Oct 2022
Neural Unbalanced Optimal Transport via Cycle-Consistent Semi-Couplings Frederike Lubeck Charlotte Bunne Gabriele Gut J. Castillo L. Pelkmans David Alvarez-Melis OT 18 20 0 30 Sep 2022
Manifold Interpolating Optimal-Transport Flows for Trajectory Inference G. Huguet D. S. Magruder Alexander Tong O. Fasina Manik Kuchroo Guy Wolf Smita Krishnaswamy OT DRL 37 55 0 29 Jun 2022
Riemannian Metric Learning via Optimal Transport Christopher Scarvelis Justin Solomon OT 42 11 0 18 May 2022
A scalable deep learning approach for solving high-dimensional dynamic optimal transport Wei Wan Yuejin Zhang Chenglong Bao Bin Dong Zuoqiang Shi 16 4 0 16 May 2022
Trajectory Inference via Mean-field Langevin in Path Space Lénaïc Chizat Stephen X. Zhang Matthieu Heitz Geoffrey Schiebinger 31 20 0 14 May 2022
Neural Lagrangian Schrödinger Bridge: Diffusion Modeling for Population Dynamics Takeshi Koshizuka Issei Sato 24 6 0 11 Apr 2022
The Schrödinger Bridge between Gaussian Measures has a Closed Form Charlotte Bunne Ya-Ping Hsieh Marco Cuturi Andreas Krause OT 25 42 0 11 Feb 2022
Wassersplines for Neural Vector Field--Controlled Animation Paul Zhang Dmitriy Smirnov Justin Solomon 14 4 0 28 Jan 2022
Parameter tuning and model selection in optimal transport with semi-dual Brenier formulation A. Vacher Franccois-Xavier Vialard OT 27 3 0 14 Dec 2021
Proximal Optimal Transport Modeling of Population Dynamics Charlotte Bunne Laetitia Meng-Papaxanthos Andreas Krause Marco Cuturi OT 43 81 0 11 Jun 2021
Solving Schrödinger Bridges via Maximum Likelihood Francisco Vargas Pierre Thodoroff Neil D. Lawrence A. Lamacraft OT 24 131 0 03 Jun 2021
Low-Rank Sinkhorn Factorization M. Scetbon Marco Cuturi Gabriel Peyré 26 57 0 08 Mar 2021
Diffusion Earth Mover's Distance and Distribution Embeddings Alexander Tong G. Huguet A. Natik Kincaid MacDonald Manik Kuchroo Ronald R. Coifman Guy Wolf Smita Krishnaswamy MedIm 11 29 0 25 Feb 2021
Towards a mathematical theory of trajectory inference Hugo Lavenant Stephen X. Zhang Young-Heon Kim Geoffrey Schiebinger 21 40 0 18 Feb 2021
MMD-Regularized Unbalanced Optimal Transport Piyushi Manupriya SakethaNath Jagarlapudi Pratik Jawanpuria OT 24 5 0 10 Nov 2020
On Projection Robust Optimal Transport: Sample Complexity and Model Misspecification Tianyi Lin Zeyu Zheng Elynn Y. Chen Marco Cuturi Michael I. Jordan OT 10 57 0 22 Jun 2020