Stable Autonomous Flow Matching

8 February 2024

Papers citing "Stable Autonomous Flow Matching"

18 / 18 papers shown

Title
Fast and Robust Visuomotor Riemannian Flow Matching Policy Haoran Ding Noémie Jaquier Jan Peters Leonel Rozo 163 4 0 14 Dec 2024
On Kinetic Optimal Probability Paths for Generative Models Neta Shaul Ricky T. Q. Chen Maximilian Nickel Matt Le Y. Lipman OT 52 26 0 11 Jun 2023
Flow Matching on General Geometries Ricky T. Q. Chen Y. Lipman AI4CE 109 84 0 07 Feb 2023
Neural Conservation Laws: A Divergence-Free Perspective Jack Richter-Powell Y. Lipman Ricky T. Q. Chen 103 56 0 04 Oct 2022
Poisson Flow Generative Models Yilun Xu Ziming Liu M. Tegmark Tommi Jaakkola 153 89 0 22 Sep 2022
Pre-training via Denoising for Molecular Property Prediction Sheheryar Zaidi Michael Schaarschmidt James Martens Hyunjik Kim Yee Whye Teh Alvaro Sanchez-Gonzalez Peter W. Battaglia Razvan Pascanu Jonathan Godwin DiffM AI4CE 103 127 0 31 May 2022
Video Diffusion Models Jonathan Ho Tim Salimans Alexey A. Gritsenko William Chan Mohammad Norouzi David J. Fleet DiffM VGen 209 1,638 0 07 Apr 2022
High-Resolution Image Synthesis with Latent Diffusion Models Robin Rombach A. Blattmann Dominik Lorenz Patrick Esser Bjorn Ommer 3DV 485 15,734 0 20 Dec 2021
Score-Based Generative Modeling with Critically-Damped Langevin Diffusion Tim Dockhorn Arash Vahdat Karsten Kreis DiffM 96 236 0 14 Dec 2021
Stable Neural ODE with Lyapunov-Stable Equilibrium Points for Defending Against Adversarial Attacks Qiyu Kang Yang Song Qinxu Ding Wee Peng Tay AAML 56 93 0 25 Oct 2021
Score-based Generative Modeling in Latent Space Arash Vahdat Karsten Kreis Jan Kautz DiffM 69 686 0 10 Jun 2021
Diffusion Models Beat GANs on Image Synthesis Prafulla Dhariwal Alex Nichol 265 7,938 0 11 May 2021
Learning Gradient Fields for Molecular Conformation Generation Chence Shi Shitong Luo Minkai Xu Jian Tang DiffM AI4CE 79 216 0 09 May 2021
Almost Surely Stable Deep Dynamics Nathan P. Lawrence Philip D. Loewen M. Forbes Johan U. Backstrom R. Bhushan Gopaluni BDL 57 20 0 26 Mar 2021
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 353 6,566 0 26 Nov 2020
Generative Modeling by Estimating Gradients of the Data Distribution Yang Song Stefano Ermon SyDa DiffM 258 3,956 0 12 Jul 2019
Sliced Score Matching: A Scalable Approach to Density and Score Estimation Yang Song Sahaj Garg Jiaxin Shi Stefano Ermon 115 418 0 17 May 2019
Neural Ordinary Differential Equations T. Chen Yulia Rubanova J. Bettencourt David Duvenaud AI4CE 434 5,157 0 19 Jun 2018