Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
2002.04461
Cited By
v1
v2 (latest)
TrajectoryNet: A Dynamic Optimal Transport Network for Modeling Cellular Dynamics
International Conference on Machine Learning (ICML), 2020
9 February 2020
Alexander Tong
Jessie Huang
Guy Wolf
David van Dijk
Smita Krishnaswamy
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"TrajectoryNet: A Dynamic Optimal Transport Network for Modeling Cellular Dynamics"
50 / 97 papers shown
CellStream: Dynamical Optimal Transport Informed Embeddings for Reconstructing Cellular Trajectories from Snapshots Data
Yue Ling
Peiqi Zhang
Zhenyi Zhang
Peijie Zhou
AI4TS
261
2
0
16 Nov 2025
XFlowMP: Task-Conditioned Motion Fields for Generative Robot Planning with Schrodinger Bridges
Khang Nguyen
Minh Nhat Vu
117
0
0
02 Nov 2025
Modeling Microenvironment Trajectories on Spatial Transcriptomics with NicheFlow
Kristiyan Sakalyan
Alessandro Palma
Filippo Guerranti
Fabian J. Theis
Stephan Günnemann
336
7
0
02 Nov 2025
Curly Flow Matching for Learning Non-gradient Field Dynamics
Katarina Petrović
Lazar Atanackovic
Viggo Moro
Kacper Kapusniak
.Ismail .Ilkan Ceylan
M. Bronstein
A. Bose
Alexander Tong
210
6
0
30 Oct 2025
Multi-Marginal Schrödinger Bridge Matching
Byoungwoo Park
Juho Lee
139
0
0
18 Oct 2025
Simulation-free Structure Learning for Stochastic Dynamics
Noah El Rimawi-Fine
Adam Stecklov
Lucas Nelson
Mathieu Blanchette
Alexander Tong
Stephen Y. Zhang
Lazar Atanackovic
AI4CE
182
0
0
18 Oct 2025
Learning Explicit Single-Cell Dynamics Using ODE Representations
Jan-Philipp von Bassewitz
Adeel Pervez
Marco Fumero
Matthew Robinson
Theofanis Karaletsos
Francesco Locatello
PINN
AI4CE
265
1
0
03 Oct 2025
Multi-marginal temporal Schrödinger Bridge Matching from unpaired data
Thomas Gravier
Thomas Boyer
Auguste Genovesio
DiffM
226
0
0
02 Oct 2025
Multi-Marginal Flow Matching with Adversarially Learnt Interpolants
Oskar Kviman
Kirill Tamogashev
Nicola Branchini
Victor Elvira
Jens Lagergren
Nikolay Malkin
181
0
0
01 Oct 2025
Neural Hamilton--Jacobi Characteristic Flows for Optimal Transport
Yesom Park
Shu Liu
Mo Zhou
Stanley Osher
OT
251
0
0
30 Sep 2025
Exact Solutions to the Quantum Schrödinger Bridge Problem
Mykola Bordyuh
Djork-Arné Clevert
Marco Bertolini
OT
219
0
0
30 Sep 2025
Energy Guided Geometric Flow Matching
Aaron Zweig
Mingxuan Zhang
Elham Azizi
David A. Knowles
163
0
0
25 Sep 2025
Federated Flow Matching
Zifan Wang
Anqi Dong
Mahmoud Selim
Michael M. Zavlanos
Karl H. Johansson
FedML
262
0
0
25 Sep 2025
Equilibrium flow: From Snapshots to Dynamics
Yanbo Zhang
Michael Levin
143
1
0
22 Sep 2025
Multi-Marginal Stochastic Flow Matching for High-Dimensional Snapshot Data at Irregular Time Points
Justin Lee
Behnaz Moradijamei
Heman Shakeri
144
9
0
06 Aug 2025
Flows and Diffusions on the Neural Manifold
Daniel Saragih
Deyu Cao
Tejas Balaji
DiffM
AI4CE
284
2
0
14 Jul 2025
Branched Schrödinger Bridge Matching
Sophia Tang
Yinuo Zhang
Alexander Tong
Pranam Chatterjee
331
2
0
10 Jun 2025
CT-OT Flow: Estimating Continuous-Time Dynamics from Discrete Temporal Snapshots
Keisuke Kawano
Takuro Kutsuna
Naoki Hayashi
Yasushi Esaki
Hidenori Tanaka
OT
258
2
0
23 May 2025
Oh SnapMMD! Forecasting Stochastic Dynamics Beyond the Schrödinger Bridge's End
Renato Berlinghieri
Yunyi Shen
Jialong Jiang
Tamara Broderick
224
2
0
21 May 2025
Minimum-Excess-Work Guidance
Christopher Kolloff
Tobias Höppe
Emmanouil Angelis
Mathias Jacob Schreiner
Stefan Bauer
Andrea Dittadi
Simon Olsson
OT
433
1
0
19 May 2025
Joint Velocity-Growth Flow Matching for Single-Cell Dynamics Modeling
Dongyi Wang
Yuanwei Jiang
Zhenyi Zhang
Xiang Gu
Peijie Zhou
Jian Sun
430
14
0
19 May 2025
Inferring stochastic dynamics with growth from cross-sectional data
Stephen Zhang
Suryanarayana Maddu
Xiaojie Qiu
Victor Chardès
402
1
0
19 May 2025
Efficient Flow Matching using Latent Variables
Anirban Samaddar
Yixuan Sun
Viktor Nilsson
Sandeep Madireddy
484
5
0
07 May 2025
Towards scientific machine learning for granular material simulations -- challenges and opportunities
Archives of Computational Methods in Engineering (ACME), 2025
Marc Fransen
Andreas Fürst
D. Tunuguntla
Daniel N. Wilke
Benedikt Alkin
...
Takayuki Shuku
WaiChing Sun
T. Weinhart
Dongwei Ye
Hongyang Cheng
AI4CE
324
7
0
01 Apr 2025
A scalable gene network model of regulatory dynamics in single cells
Paul Bertin
J. Viviano
Alejandro Tejada-Lapuerta
Weixu Wang
Stefan Bauer
Fabian J. Theis
Yoshua Bengio
225
0
0
25 Mar 2025
Trajectory Inference with Smooth Schrödinger Bridges
Wanli Hong
Yuliang Shi
Jonathan Niles-Weed
239
7
0
01 Mar 2025
Optimal Stochastic Trace Estimation in Generative Modeling
International Conference on Artificial Intelligence and Statistics (AISTATS), 2025
Xinyang Liu
Hengrong Du
Wei Deng
Ruqi Zhang
AI4TS
282
0
0
26 Feb 2025
Identifying Stochastic Dynamics from Non-Sequential Data (DyNoSeD)
Chaos (Chaos), 2025
Zhixin Lu
Łukasz Kuśmierz
Stefan Mihalas
462
0
0
24 Feb 2025
ImageFlowNet: Forecasting Multiscale Image-Level Trajectories of Disease Progression with Irregularly-Sampled Longitudinal Medical Images
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024
Chen Liu
Ke Xu
Liangbo L. Shen
Guillaume Huguet
Zilong Wang
...
Danilo Bzdok
Jay Stewart
Jay C. Wang
L. V. Priore
Smita Krishnaswamy
535
0
0
08 Jan 2025
Governing equation discovery of a complex system from snapshots
Qunxi Zhu
Bolin Zhao
Jingdong Zhang
Peiyang Li
Wei Lin
164
4
0
22 Oct 2024
Geometry-Aware Generative Autoencoders for Warped Riemannian Metric Learning and Generative Modeling on Data Manifolds
International Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Xingzhi Sun
Danqi Liao
Kincaid MacDonald
Yanlei Zhang
Chen Liu
Guillaume Huguet
Guy Wolf
Ian M. Adelstein
Tim G. J. Rudner
Smita Krishnaswamy
487
17
0
16 Oct 2024
Parametric model reduction of mean-field and stochastic systems via higher-order action matching
Neural Information Processing Systems (NeurIPS), 2024
Jules Berman
Tobias Blickhan
Benjamin Peherstorfer
633
4
0
15 Oct 2024
Learning stochastic dynamics from snapshots through regularized unbalanced optimal transport
International Conference on Learning Representations (ICLR), 2024
Zhenyi Zhang
Tiejun Li
Peijie Zhou
OT
842
28
0
01 Oct 2024
Implicit Dynamical Flow Fusion (IDFF) for Generative Modeling
Mohammad R. Rezaei
Rahul G. Krishnan
Milos R. Popovic
M. Lankarany
DiffM
615
0
0
22 Sep 2024
Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold
International Conference on Learning Representations (ICLR), 2024
Lazar Atanackovic
Xi Zhang
Brandon Amos
Mathieu Blanchette
Leo J. Lee
Yoshua Bengio
Alexander Tong
Kirill Neklyudov
606
28
0
26 Aug 2024
Using Linearized Optimal Transport to Predict the Evolution of Stochastic Particle Systems
Nicholas Karris
Evangelos A. Nikitopoulos
Ioannis G. Kevrekidis
Seungjoon Lee
Alexander Cloninger
OT
466
2
0
03 Aug 2024
Learning Diffusion at Lightspeed
Neural Information Processing Systems (NeurIPS), 2024
Antonio Terpin
Nicolas Lanzetti
Florian Dorfler
DiffM
286
15
0
18 Jun 2024
Partially Observed Trajectory Inference using Optimal Transport and a Dynamics Prior
Anming Gu
Edward Chien
Kristjan Greenewald
371
11
0
11 Jun 2024
Learning to Approximate Particle Smoothing Trajectories via Diffusion Generative Models
Ella Tamir
Arno Solin
DiffM
252
0
0
01 Jun 2024
Neural Optimal Transport with Lagrangian Costs
Aram-Alexandre Pooladian
Carles Domingo-Enrich
Ricky T. Q. Chen
Brandon Amos
OT
451
21
0
01 Jun 2024
Efficient Trajectory Inference in Wasserstein Space Using Consecutive Averaging
Amartya Banerjee
Harlin Lee
Nir Sharon
Caroline Moosmüller
367
8
0
30 May 2024
Metric Flow Matching for Smooth Interpolations on the Data Manifold
Neural Information Processing Systems (NeurIPS), 2024
Kacper Kapusniak
Peter Potaptchik
Teodora Reu
Leo Zhang
Alexander Tong
Michael M. Bronstein
A. Bose
Francesco Di Giovanni
332
53
0
23 May 2024
Dynamic Conditional Optimal Transport through Simulation-Free Flows
Gavin Kerrigan
Giosue Migliorini
Padhraic Smyth
OT
608
24
0
05 Apr 2024
Propensity Score Alignment of Unpaired Multimodal Data
Neural Information Processing Systems (NeurIPS), 2024
Johnny Xi
Jason S. Hartford
237
8
0
02 Apr 2024
Negative-Binomial Randomized Gamma Markov Processes for Heterogeneous Overdispersed Count Time Series
Rui Huang
Sikun Yang
Heinz Koeppl
198
0
0
29 Feb 2024
Generalized Sobolev Transport for Probability Measures on a Graph
Tam Le
Truyen V. Nguyen
Kenji Fukumizu
OT
380
9
0
07 Feb 2024
Correlational Lagrangian Schrödinger Bridge: Learning Dynamics with Population-Level Regularization
Yuning You
Ruida Zhou
Yang Shen
197
2
0
04 Feb 2024
Solution of the Probabilistic Lambert Problem: Connections with Optimal Mass Transport, Schrödinger Bridge and Reaction-Diffusion PDEs
Alexis M. H. Teter
Iman Nodozi
Abhishek Halder
282
4
0
15 Jan 2024
Unbalancedness in Neural Monge Maps Improves Unpaired Domain Translation
International Conference on Learning Representations (ICLR), 2023
L. Eyring
Dominik Klein
Théo Uscidda
Giovanni Palla
Niki Kilbertus
Zeynep Akata
Fabian J. Theis
OT
329
29
0
25 Nov 2023
Constructing interpretable principal curve using Neural ODEs
Guangzheng Zhang
Bingxian Xu
147
0
0
15 Nov 2023
1
2
Next
Page 1 of 2
