Flow Matching on General Geometries

7 February 2023

Papers citing "Flow Matching on General Geometries"

49 / 49 papers shown

Title
Improving the Euclidean Diffusion Generation of Manifold Data by Mitigating Score Function Singularity Z. Liu Wei Zhang Tiejun Li DiffM 10 0 0 15 May 2025
Riemannian Denoising Diffusion Probabilistic Models Z. Liu Wei Zhang Christof Schütte Tiejun Li DiffM 68 0 0 07 May 2025
Ergodic Generative Flows Leo Maxime Brunswic Mateo Clemente Rui Heng Yang Adam Sigal Amir Rasouli Yinchuan Li 37 0 0 06 May 2025
Riemannian Neural Geodesic Interpolant Jiawen Wu Bingguang Chen Yuyi Zhou Qi Meng Rongchan Zhu Zhi-Ming Ma 24 0 0 22 Apr 2025
An All-Atom Generative Model for Designing Protein Complexes Ruizhe Chen Dongyu Xue Xiangxin Zhou Zaixiang Zheng Xiangxiang Zeng Quanquan Gu 19 0 0 17 Apr 2025
On the minimax optimality of Flow Matching through the connection to kernel density estimation Lea Kunkel Mathias Trabs 32 0 0 17 Apr 2025
Flow Matching on Lie Groups Finn M. Sherry Bart M.N. Smets 49 0 0 01 Apr 2025
Flows on convex polytopes Tomek Diederen Nicola Zamboni 40 0 0 13 Mar 2025
Theoretical Guarantees for High Order Trajectory Refinement in Generative Flows Chengyue Gong Xiaoyu Li Yingyu Liang Jiangxuan Long Zhenmei Shi Zhao-quan Song Yu Tian 54 3 0 12 Mar 2025
Riemann $^2$ : Learning Riemannian Submanifolds from Riemannian Data Leonel Rozo Miguel González-Duque Noémie Jaquier Søren Hauberg 47 1 0 07 Mar 2025
Proteina: Scaling Flow-based Protein Structure Generative Models Tomas Geffner Kieran Didi Zuobai Zhang Danny Reidenbach Zhonglin Cao ... Mario Geiger Christian Dallago E. Küçükbenli Arash Vahdat Karsten Kreis DiffM AI4CE 41 4 0 02 Mar 2025
Learning conformational ensembles of proteins based on backbone geometry Nicolas Wolf Leif Seute Vsevolod Viliuga Simon Wagner Jan Stühmer Frauke Gräter AI4CE 50 0 0 19 Feb 2025
Field Matching: an Electrostatic Paradigm to Generate and Transfer Data Alexander Kolesov Manukhov Stepan Vladimir V. Palyulin Alexander Korotin 53 0 0 04 Feb 2025
Accurate and thermodynamically consistent hydrogen equation of state for planetary modeling with flow matching Hao Xie Saburo Howard Guglielmo Mazzola 31 1 0 17 Jan 2025
FlowDock: Geometric Flow Matching for Generative Protein-Ligand Docking and Affinity Prediction Alex Morehead Jianlin Cheng OOD 112 1 0 14 Dec 2024
Efficient Antibody Structure Refinement Using Energy-Guided SE(3) Flow Matching Jiying Zhang Zijing Liu Shengyuan Bai He Cao Yu Li Lei Zhang DiffM 35 1 0 22 Oct 2024
Geometry-Aware Generative Autoencoders for Warped Riemannian Metric Learning and Generative Modeling on Data Manifolds Xingzhi Sun Danqi Liao Kincaid MacDonald Yanlei Zhang Chen Liu Guillaume Huguet Guy Wolf Ian M. Adelstein Tim G. J. Rudner Smita Krishnaswamy 38 3 0 16 Oct 2024
DFM: Interpolant-free Dual Flow Matching Denis A. Gudovskiy Tomoyuki Okuno Yohei Nakata AI4CE 32 0 0 11 Oct 2024
MOFFlow: Flow Matching for Structure Prediction of Metal-Organic Frameworks N. Kim Seongsu Kim Minsu Kim Jinkyoo Park Sungsoo Ahn AI4CE 33 0 0 07 Oct 2024
Learning Robotic Manipulation Policies from Point Clouds with Conditional Flow Matching Eugenio Chisari Nick Heppert Max Argus Tim Welschehold Thomas Brox Abhinav Valada 3DPC 45 11 0 11 Sep 2024
ActionFlow: Equivariant, Accurate, and Efficient Policies with Spatially Symmetric Flow Matching Niklas Funk Julen Urain João Carvalho V. Prasad Georgia Chalvatzaki Jan Peters 45 5 0 06 Sep 2024
Variational Flow Matching for Graph Generation Floor Eijkelboom Grigory Bartosh C. A. Naesseth Max Welling Jan Willem van de Meent 31 10 0 07 Jun 2024
ContextFlow++: Generalist-Specialist Flow-based Generative Models with Mixed-Variable Context Encoding Denis A. Gudovskiy Tomoyuki Okuno Yohei Nakata MoE AI4CE 36 2 0 02 Jun 2024
Sequence-Augmented SE(3)-Flow Matching For Conditional Protein Backbone Generation Guillaume Huguet James Vuckovic Kilian Fatras Eric Thibodeau-Laufer Pablo Lemos ... Jarrid Rector-Brooks Tara Akhound-Sadegh Michael M. Bronstein Alexander Tong A. Bose 32 26 0 30 May 2024
Trivialized Momentum Facilitates Diffusion Generative Modeling on Lie Groups Yuchen Zhu Tianrong Chen Lingkai Kong Evangelos A. Theodorou Molei Tao DiffM 35 4 0 25 May 2024
Markovian Flow Matching: Accelerating MCMC with Continuous Normalizing Flows A. Cabezas Louis Sharrock Christopher Nemeth 34 1 0 23 May 2024
Mixed Continuous and Categorical Flow Matching for 3D De Novo Molecule Generation Ian Dunn D. Koes BDL DiffM 44 11 0 30 Apr 2024
PROflow: An iterative refinement model for PROTAC-induced structure prediction Bo Qiang Wenxian Shi Yuxuan Song Menghua Wu 32 1 0 10 Apr 2024
Riemannian Flow Matching Policy for Robot Motion Learning Max Braun Noémie Jaquier Leonel Rozo Tamim Asfour 33 11 0 15 Mar 2024
Generative Modeling of Discrete Joint Distributions by E-Geodesic Flow Matching on Assignment Manifolds Bastian Boll Daniel Gonzalez-Alvarado Christoph Schnörr DRL 45 4 0 12 Feb 2024
Dirichlet Flow Matching with Applications to DNA Sequence Design Hannes Stärk Bowen Jing Chenyu Wang Gabriele Corso Bonnie Berger Regina Barzilay Tommi Jaakkola BDL 42 45 0 08 Feb 2024
Stable Autonomous Flow Matching Christopher Iliffe Sprague Arne Elofsson Hossein Azizpour 33 1 0 08 Feb 2024
Equivariant Manifold Neural ODEs and Differential Invariants Emma Andersdotter Fredrik Ohlsson 16 0 0 25 Jan 2024
Learning Distributions on Manifolds with Free-form Flows Peter Sorrenson Felix Dräxler Armand Rousselot Sander Hummerich Ullrich Kothe DRL AI4CE 24 2 0 15 Dec 2023
Motion Flow Matching for Human Motion Synthesis and Editing Vincent Tao Hu Wenzhe Yin Pingchuan Ma Yunlu Chen Basura Fernando Yuki M. Asano E. Gavves Pascal Mettes Bjorn Ommer Cees G. M. Snoek DiffM 30 19 0 14 Dec 2023
Gaussian Interpolation Flows Yuan Gao Jianxia Huang Yuling Jiao AI4CE 16 2 0 20 Nov 2023
Generative Modeling on Manifolds Through Mixture of Riemannian Diffusion Processes Jaehyeong Jo Sung Ju Hwang DiffM 27 9 0 11 Oct 2023
Flow Matching in Latent Space Quan Dao Hao Phung Binh Duc Nguyen Anh Tran 33 59 0 17 Jul 2023
Vector Quantile Regression on Manifolds Marco Pegoraro S. Vedula Aviv A. Rosenberg Irene Tallini Emanuele Rodolà A. Bronstein 23 2 0 03 Jul 2023
Manifold Diffusion Fields Ahmed A. A. Elhag Yuyang Wang J. Susskind Miguel Angel Bautista DiffM AI4CE 36 4 0 24 May 2023
Multisample Flow Matching: Straightening Flows with Minibatch Couplings Aram-Alexandre Pooladian Heli Ben-Hamu Carles Domingo-Enrich Brandon Amos Y. Lipman Ricky T. Q. Chen 60 126 0 28 Apr 2023
Diffusion Schrödinger Bridge Matching Yuyang Shi Valentin De Bortoli Andrew Campbell Arnaud Doucet DiffM OT 51 65 0 29 Mar 2023
Conformal Generative Modeling on Triangulated Surfaces Victor D. Dorobantu Charlotte Borcherds Yisong Yue 17 1 0 17 Mar 2023
Star-Shaped Denoising Diffusion Probabilistic Models Andrey Okhotin Dmitry Molchanov V. Arkhipkin Grigory Bartosh Viktor Ohanesian Aibek Alanov Dmitry Vetrov DiffM 32 12 0 10 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 22 228 0 01 Feb 2023
Neural Eigenfunctions Are Structured Representation Learners Zhijie Deng Jiaxin Shi Hao Zhang Peng Cui Cewu Lu Jun Zhu 39 14 0 23 Oct 2022
Matching Normalizing Flows and Probability Paths on Manifolds Heli Ben-Hamu Samuel N. Cohen Joey Bose Brandon Amos Aditya Grover Maximilian Nickel Ricky T. Q. Chen Y. Lipman 50 39 0 11 Jul 2022
Riemannian Score-Based Generative Modelling Valentin De Bortoli Emile Mathieu M. Hutchinson James Thornton Yee Whye Teh Arnaud Doucet DiffM 217 164 0 06 Feb 2022
Spectral Inference Networks: Unifying Deep and Spectral Learning David Pfau Stig Petersen Ashish Agarwal David Barrett Kimberly L. Stachenfeld 49 40 0 06 Jun 2018