Implicit Dynamical Flow Fusion (IDFF) for Generative Modeling

22 September 2024

Papers citing "Implicit Dynamical Flow Fusion (IDFF) for Generative Modeling"

43 / 43 papers shown

Title
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
Imagine Flash: Accelerating Emu Diffusion Models with Backward Distillation Jonas Kohler Albert Pumarola Edgar Schönfeld A. Sanakoyeu Roshan Sumbaly Peter Vajda Ali K. Thabet 60 25 0 08 May 2024
Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models Yixin Liu Kai Zhang Yuan Li Zhiling Yan Chujie Gao ... Yue Huang Hanchi Sun Jianfeng Gao Lifang He Lichao Sun VLM VGen EGVM 101 288 0 27 Feb 2024
Improved Techniques for Training Consistency Models Yang Song Prafulla Dhariwal 68 173 0 22 Oct 2023
DPM-Solver-v3: Improved Diffusion ODE Solver with Empirical Model Statistics Kaiwen Zheng Cheng Lu Jianfei Chen Jun Zhu DiffM 86 88 0 20 Oct 2023
Efficient Integrators for Diffusion Generative Models Kushagra Pandey Maja R. Rudolph Stephan Mandt DiffM 36 11 0 11 Oct 2023
Flow Matching in Latent Space Quan Dao Hao Phung Binh Duc Nguyen Anh Tran 63 69 0 17 Jul 2023
Improved sampling via learned diffusions Lorenz Richter Julius Berner DiffM 62 60 0 03 Jul 2023
DYffusion: A Dynamics-informed Diffusion Model for Spatiotemporal Forecasting Salva Rühling Cachay Bo Zhao Hailey James Rose Yu DiffM AI4TS 136 64 0 03 Jun 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 74 144 0 28 Apr 2023
Reflected Diffusion Models Aaron Lou Stefano Ermon 49 55 0 10 Apr 2023
Stochastic Interpolants: A Unifying Framework for Flows and Diffusions M. S. Albergo Nicholas M. Boffi Eric Vanden-Eijnden DiffM 294 309 0 15 Mar 2023
UniPC: A Unified Predictor-Corrector Framework for Fast Sampling of Diffusion Models Wenliang Zhao Lujia Bai Yongming Rao Jie Zhou Jiwen Lu DiffM 63 216 0 09 Feb 2023
Feature Likelihood Divergence: Evaluating the Generalization of Generative Models Using Samples Marco Jiralerspong A. Bose I. Gemp Chongli Qin Yoram Bachrach Gauthier Gidel EGVM 55 7 0 09 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 95 288 0 01 Feb 2023
Generative Time Series Forecasting with Diffusion, Denoise, and Disentanglement Yuante Li Xin-xin Lu Yaqing Wang De-Yu Dou DiffM AI4TS 44 104 0 08 Jan 2023
Scalable Diffusion Models with Transformers William S. Peebles Saining Xie GNN 77 2,275 0 19 Dec 2022
DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models Cheng Lu Yuhao Zhou Fan Bao Jianfei Chen Chongxuan Li Jun Zhu DiffM 133 587 0 02 Nov 2022
Flow Matching for Generative Modeling Y. Lipman Ricky T. Q. Chen Heli Ben-Hamu Maximilian Nickel Matt Le OOD 174 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 166 982 0 07 Sep 2022
DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps Cheng Lu Yuhao Zhou Fan Bao Jianfei Chen Chongxuan Li Jun Zhu DiffM 172 1,403 0 02 Jun 2022
MCVD: Masked Conditional Video Diffusion for Prediction, Generation, and Interpolation Vikram S. Voleti Alexia Jolicoeur-Martineau Christopher Pal DiffM VGen 47 300 0 19 May 2022
Video Diffusion Models Jonathan Ho Tim Salimans Alexey A. Gritsenko William Chan Mohammad Norouzi David J. Fleet DiffM VGen 163 1,597 0 07 Apr 2022
FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators Jaideep Pathak Shashank Subramanian P. Harrington S. Raja Ashesh Chattopadhyay ... Zong-Yi Li Kamyar Azizzadenesheli Pedram Hassanzadeh K. Kashinath Anima Anandkumar AI4Cl 189 682 0 22 Feb 2022
ScoreGrad: Multivariate Probabilistic Time Series Forecasting with Continuous Energy-based Generative Models Tijin Yan Hongwei Zhang Tong Zhou Yufeng Zhan Yuanqing Xia DiffM AI4TS 48 39 0 18 Jun 2021
Diffusion Models Beat GANs on Image Synthesis Prafulla Dhariwal Alex Nichol 178 7,765 0 11 May 2021
Unbalanced minibatch Optimal Transport; applications to Domain Adaptation Kilian Fatras Thibault Séjourné Nicolas Courty Rémi Flamary OT 68 150 0 05 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 292 6,409 0 26 Nov 2020
Denoising Diffusion Implicit Models Jiaming Song Chenlin Meng Stefano Ermon VLM DiffM 208 7,294 0 06 Oct 2020
Adversarial score matching and improved sampling for image generation Alexia Jolicoeur-Martineau Remi Piche-Taillefer Rémi Tachet des Combes Ioannis Mitliagkas DiffM 57 126 0 11 Sep 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 465 17,888 0 19 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
Generative Modeling by Estimating Gradients of the Data Distribution Yang Song Stefano Ermon SyDa DiffM 213 3,870 0 12 Jul 2019
Neural Processes M. Garnelo Jonathan Richard Schwarz Dan Rosenbaum Fabio Viola Danilo Jimenez Rezende S. M. Ali Eslami Yee Whye Teh BDL UQCV GP 81 514 0 04 Jul 2018
Deep Learning Techniques for Music Generation -- A Survey Jean-Pierre Briot Gaëtan Hadjeres F. Pachet MGen 71 301 0 05 Sep 2017
Learning Generative Models with Sinkhorn Divergences Aude Genevay Gabriel Peyré Marco Cuturi OT 142 626 0 01 Jun 2017
Sequential Neural Models with Stochastic Layers Marco Fraccaro Søren Kaae Sønderby Ulrich Paquet Ole Winther BDL 109 397 0 24 May 2016
A Recurrent Latent Variable Model for Sequential Data Junyoung Chung Kyle Kastner Laurent Dinh Kratarth Goel Aaron Courville Yoshua Bengio DRL BDL 82 1,256 0 07 Jun 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 628 9,290 0 06 Jun 2015
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation Distances Marco Cuturi OT 180 4,251 0 04 Jun 2013
Quasi-Newton Methods: A New Direction Philipp Hennig Martin Kiefel 60 103 0 18 Jun 2012
MCMC using Hamiltonian dynamics Radford M. Neal 288 3,276 0 09 Jun 2012
The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo Matthew D. Hoffman Andrew Gelman 162 4,295 0 18 Nov 2011