Single-Step Consistent Diffusion Samplers

17 February 2025

Papers citing "Single-Step Consistent Diffusion Samplers"

31 / 31 papers shown

Title
Sequential Controlled Langevin Diffusions Junhua Chen Lorenz Richter Julius Berner Denis Blessing Gerhard Neumann A. Anandkumar 96 19 0 10 Dec 2024
One Step Diffusion via Shortcut Models Kevin Frans Danijar Hafner Sergey Levine Pieter Abbeel VLM DiffM 105 41 0 16 Oct 2024
Improved Techniques for Training Consistency Models Yang Song Prafulla Dhariwal 64 173 0 22 Oct 2023
Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory optimization Dinghuai Zhang Ricky Tian Qi Chen Cheng-Hao Liu Aaron C. Courville Yoshua Bengio 58 46 0 04 Oct 2023
Improved sampling via learned diffusions Lorenz Richter Julius Berner DiffM 62 60 0 03 Jul 2023
Consistency Models Yang Song Prafulla Dhariwal Mark Chen Ilya Sutskever VLM DiffM 97 944 0 02 Mar 2023
Denoising Diffusion Samplers Francisco Vargas Will Grathwohl Arnaud Doucet DiffM 42 84 0 27 Feb 2023
An optimal control perspective on diffusion-based generative modeling Julius Berner Lorenz Richter Karen Ullrich DiffM 101 91 0 02 Nov 2022
On Distillation of Guided Diffusion Models Chenlin Meng Robin Rombach Ruiqi Gao Diederik P. Kingma Stefano Ermon Jonathan Ho Tim Salimans VLM DiffM 67 519 0 06 Oct 2022
Flow Matching for Generative Modeling Y. Lipman Ricky T. Q. Chen Heli Ben-Hamu Maximilian Nickel Matt Le OOD 170 1,274 0 06 Oct 2022
Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow Xingchao Liu Chengyue Gong Qiang Liu OOD 162 982 0 07 Sep 2022
Langevin Diffusion Variational Inference Tomas Geffner Justin Domke DiffM 33 22 0 16 Aug 2022
Stochastic Optimal Control for Collective Variable Free Sampling of Molecular Transition Paths Lars Holdijk Yuanqi Du F. Hooft P. Jaini B. Ensing Max Welling 16 27 0 27 Jun 2022
Elucidating the Design Space of Diffusion-Based Generative Models Tero Karras M. Aittala Timo Aila S. Laine DiffM 152 1,952 0 01 Jun 2022
Path Integral Sampler: a stochastic control approach for sampling Qinsheng Zhang Yongxin Chen DiffM 69 113 0 30 Nov 2021
GFlowNet Foundations Yoshua Bengio Salem Lahlou T. Deleu J. E. Hu Mo Tiwari Emmanuel Bengio 39 229 0 17 Nov 2021
Flow Network based Generative Models for Non-Iterative Diverse Candidate Generation Emmanuel Bengio Moksh Jain Maksym Korablyov Doina Precup Yoshua Bengio 75 327 0 08 Jun 2021
Gotta Go Fast When Generating Data with Score-Based Models Alexia Jolicoeur-Martineau Ke Li Remi Piche-Taillefer Tal Kachman Ioannis Mitliagkas DiffM 68 223 0 28 May 2021
Annealed Flow Transport Monte Carlo Michael Arbel A. G. Matthews Arnaud Doucet 66 76 0 15 Feb 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 289 6,401 0 26 Nov 2020
Denoising Diffusion Implicit Models Jiaming Song Chenlin Meng Stefano Ermon VLM DiffM 202 7,281 0 06 Oct 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 452 17,867 0 19 Jun 2020
Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains Matthew Tancik Pratul P. Srinivasan B. Mildenhall Sara Fridovich-Keil N. Raghavan Utkarsh Singhal R. Ramamoorthi Jonathan T. Barron Ren Ng 110 2,410 0 18 Jun 2020
Stochastic Normalizing Flows Hao Wu Jonas Köhler Frank Noé 108 184 0 16 Feb 2020
Generative Modeling by Estimating Gradients of the Data Distribution Yang Song Stefano Ermon SyDa DiffM 209 3,867 0 12 Jul 2019
Flow-based generative models for Markov chain Monte Carlo in lattice field theory M. S. Albergo G. Kanwar P. Shanahan AI4CE 44 218 0 26 Apr 2019
Solving Statistical Mechanics Using Variational Autoregressive Networks Dian Wu Lei Wang Pan Zhang 56 184 0 27 Sep 2018
Approximate Inference with Amortised MCMC Yingzhen Li Richard Turner Qiang Liu BDL 51 62 0 27 Feb 2017
Deep Unsupervised Learning using Nonequilibrium Thermodynamics Jascha Narain Sohl-Dickstein Eric A. Weiss Niru Maheswaranathan Surya Ganguli SyDa DiffM 244 6,887 0 12 Mar 2015
Stochastic Gradient Hamiltonian Monte Carlo Tianqi Chen E. Fox Carlos Guestrin BDL 104 907 0 17 Feb 2014
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation Distances Marco Cuturi OT 175 4,251 0 04 Jun 2013