Multisample Flow Matching: Straightening Flows with Minibatch Couplings

28 April 2023

Aram-Alexandre Pooladian

Heli Ben-Hamu

Carles Domingo-Enrich

Papers citing "Multisample Flow Matching: Straightening Flows with Minibatch Couplings"

37 / 37 papers shown

Title
Flexible MOF Generation with Torsion-Aware Flow Matching N. Kim Seongsu Kim Sungsoo Ahn AI4CE 82 0 0 23 May 2025
Sample and Map from a Single Convex Potential: Generation using Conjugate Moment Measures Nina Vesseron Louis Béthune Marco Cuturi 104 0 0 13 Mar 2025
FlowTok: Flowing Seamlessly Across Text and Image Tokens Ju He Qihang Yu Qihao Liu Liang-Chieh Chen 106 1 0 13 Mar 2025
RiboGen: RNA Sequence and Structure Co-Generation with Equivariant MultiFlow Dana Rubin Allan dos Santos Costa Manvitha Ponnapati J. Jacobson 70 0 0 03 Mar 2025
Improved Training Technique for Latent Consistency Models Quan Dao Khanh Doan Di Liu Trung Le Dimitris N. Metaxas 101 3 0 03 Feb 2025
Inflationary Flows: Calibrated Bayesian Inference with Diffusion-Based Models Daniela de Albuquerque John Pearson DiffM 89 0 0 03 Jan 2025
FlowDock: Geometric Flow Matching for Generative Protein-Ligand Docking and Affinity Prediction Alex Morehead Jianlin Cheng OOD 156 3 0 14 Dec 2024
Pretrained Reversible Generation as Unsupervised Visual Representation Learning Rongkun Xue Jinouwen Zhang Yazhe Niu Dazhong Shen Bingqi Ma Yu Liu Jing Yang 129 0 0 29 Nov 2024
Unveil Inversion and Invariance in Flow Transformer for Versatile Image Editing P. Xu Boyuan Jiang Xiaobin Hu Donghao Luo Qu He Jing Zhang Chengjie Wang Yunsheng Wu Charles Ling Boyu Wang 158 3 0 24 Nov 2024
Wasserstein Flow Matching: Generative modeling over families of distributions Doron Haviv Aram-Alexandre Pooladian Dana Peér Brandon Amos OOD 60 1 0 01 Nov 2024
Trajectory Flow Matching with Applications to Clinical Time Series Modeling Xi Zhang Yuan Pu Yuki Kawamura Andrew Loza Yoshua Bengio Dennis L. Shung Alexander Tong OOD AI4TS MedIm 70 7 0 28 Oct 2024
SIGMA: Single Interpolated Generative Model for Anomalies Ranit Das David Shih DiffM 52 2 0 27 Oct 2024
MOFFlow: Flow Matching for Structure Prediction of Metal-Organic Frameworks N. Kim Seongsu Kim Minsu Kim Jinkyoo Park Sungsoo Ahn AI4CE 91 4 0 07 Oct 2024
Elucidating the Design Choice of Probability Paths in Flow Matching for Forecasting Soon Hoe Lim Yijin Wang Annan Yu Emma Hart Michael W. Mahoney Xiaoye S. Li N. Benjamin Erichson AI4TS 80 2 0 04 Oct 2024
Implicit Dynamical Flow Fusion (IDFF) for Generative Modeling Mohammad R. Rezaei Rahul G. Krishnan Milos R. Popovic M. Lankarany DiffM 61 0 0 22 Sep 2024
Gen-Swarms: Adapting Deep Generative Models to Swarms of Drones Carlos Plou Pablo Pueyo Ruben Martinez-Cantin Mac Schwager Ana C. Murillo Eduardo Montijano 192 0 0 28 Aug 2024
Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold Lazar Atanackovic Xi Zhang Brandon Amos Mathieu Blanchette Leo J. Lee Yoshua Bengio Alexander Tong Kirill Neklyudov 125 11 0 26 Aug 2024
Flow Matching on General Geometries Ricky T. Q. Chen Y. Lipman AI4CE 84 82 0 07 Feb 2023
Minimizing Trajectory Curvature of ODE-based Generative Models Sangyun Lee Beomsu Kim Jong Chul Ye 83 60 0 27 Jan 2023
Neural Unbalanced Optimal Transport via Cycle-Consistent Semi-Couplings Frederike Lubeck Charlotte Bunne Gabriele Gut J. Castillo L. Pelkmans David Alvarez-Melis OT 36 21 0 30 Sep 2022
Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow Xingchao Liu Chengyue Gong Qiang Liu OOD 166 988 0 07 Sep 2022
Supervised Training of Conditional Monge Maps Charlotte Bunne Andreas Krause Marco Cuturi OT 122 64 0 28 Jun 2022
Hierarchical Text-Conditional Image Generation with CLIP Latents Aditya A. Ramesh Prafulla Dhariwal Alex Nichol Casey Chu Mark Chen VLM DiffM 348 6,830 0 13 Apr 2022
Make-A-Scene: Scene-Based Text-to-Image Generation with Human Priors Oran Gafni Adam Polyak Oron Ashual Shelly Sheynin Devi Parikh Yaniv Taigman DiffM 57 520 0 24 Mar 2022
Diffusion Models Beat GANs on Image Synthesis Prafulla Dhariwal Alex Nichol 181 7,765 0 11 May 2021
Maximum Likelihood Training of Score-Based Diffusion Models Yang Song Conor Durkan Iain Murray Stefano Ermon DiffM 122 657 0 22 Jan 2021
Convex Potential Flows: Universal Probability Distributions with Optimal Transport and Convex Optimization Chin-Wei Huang Ricky T. Q. Chen Christos Tsirigotis Aaron Courville OT 155 98 0 10 Dec 2020
Score-Based Generative Modeling through Stochastic Differential Equations Yang Song Jascha Narain Sohl-Dickstein Diederik P. Kingma Abhishek Kumar Stefano Ermon Ben Poole DiffM SyDa 294 6,409 0 26 Nov 2020
Learning normalizing flows from Entropy-Kantorovich potentials Chris Finlay Augusto Gerolin Adam M. Oberman Aram-Alexandre Pooladian 52 23 0 10 Jun 2020
TrajectoryNet: A Dynamic Optimal Transport Network for Modeling Cellular Dynamics Alexander Tong Jessie Huang Guy Wolf David van Dijk Smita Krishnaswamy 62 168 0 09 Feb 2020
Optimal transport mapping via input convex neural networks Ashok Vardhan Makkuva Amirhossein Taghvaei Sewoong Oh Jason D. Lee OT 40 200 0 28 Aug 2019
Neural Ordinary Differential Equations T. Chen Yulia Rubanova J. Bettencourt David Duvenaud AI4CE 351 5,081 0 19 Jun 2018
Computational Optimal Transport Gabriel Peyré Marco Cuturi OT 193 2,143 0 01 Mar 2018
A Downsampled Variant of ImageNet as an Alternative to the CIFAR datasets P. Chrabaszcz I. Loshchilov Frank Hutter SSeg OOD 135 645 0 27 Jul 2017
Near-linear time approximation algorithms for optimal transport via Sinkhorn iteration Jason M. Altschuler Jonathan Niles-Weed Philippe Rigollet OT 66 590 0 26 May 2017
Faster Eigenvector Computation via Shift-and-Invert Preconditioning Dan Garber Laurent Dinh Chi Jin Jascha Narain Sohl-Dickstein Samy Bengio Praneeth Netrapalli Aaron Sidford 244 78 0 26 May 2016
Perceptual Losses for Real-Time Style Transfer and Super-Resolution Justin Johnson Alexandre Alahi Li Fei-Fei SupR 218 10,230 0 27 Mar 2016