Flow Matching for Generative Modeling

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Flow Matching for Generative Modeling

International Conference on Learning Representations (ICLR), 2022

6 October 2022

Ricky T. Q. Chen

Maximilian Nickel

ArXiv (abs)PDF HTML HuggingFace (3 upvotes)

Papers citing "Flow Matching for Generative Modeling"

13 / 1,863 papers shown

Title
Self-Consistent Velocity Matching of Probability FlowsNeural Information Processing Systems (NeurIPS), 2023 Lingxiao Li Samuel Hurault Justin Solomon 406 21 0 31 Jan 2023
A theory of continuous generative flow networksInternational Conference on Machine Learning (ICML), 2023 Salem Lahlou T. Deleu Pablo Lemos Dinghuai Zhang Alexandra Volokhova Alex Hernández-García Léna Néhale Ezzine Yoshua Bengio Nikolay Malkin AI4CE 337 111 0 30 Jan 2023
Minimizing Trajectory Curvature of ODE-based Generative ModelsInternational Conference on Machine Learning (ICML), 2023 Sangyun Lee Beomsu Kim Jong Chul Ye 532 75 0 27 Jan 2023
Learning Interpolations between Boltzmann Densities Bálint Máté Franccois Fleuret 441 38 0 18 Jan 2023
Neural Codec Language Models are Zero-Shot Text to Speech SynthesizersIEEE Transactions on Audio, Speech, and Language Processing (IEEE TASLP), 2023 Chengyi Wang Sanyuan Chen Yu-Huan Wu Zi-Hua Zhang Long Zhou ... Huaming Wang Jinyu Li Lei He Sheng Zhao Furu Wei 382 1,011 0 05 Jan 2023
Normalizing flow neural networks by JKO schemeNeural Information Processing Systems (NeurIPS), 2022 Chen Xu Xiuyuan Cheng Yao Xie 430 37 0 29 Dec 2022
Fast Point Cloud Generation with Straight FlowsComputer Vision and Pattern Recognition (CVPR), 2022 Lemeng Wu Dilin Wang Chengyue Gong Xingchao Liu Yunyang Xiong Rakesh Ranjan Raghuraman Krishnamoorthi Vikas Chandra Qiang Liu 265 56 0 04 Dec 2022
Efficient Video Prediction via Sparsely Conditioned Flow MatchingIEEE International Conference on Computer Vision (ICCV), 2022 A. Davtyan Sepehr Sameni Paolo Favaro VGen DiffM 250 42 0 26 Nov 2022
Diffusion Model Based Posterior Sampling for Noisy Linear Inverse ProblemsAsian Conference on Machine Learning (ACML), 2022 Xiangming Meng Y. Kabashima DiffM 450 68 0 20 Nov 2022
Action Matching: Learning Stochastic Dynamics from SamplesInternational Conference on Machine Learning (ICML), 2022 Kirill Neklyudov Rob Brekelmans Daniel de Souza Severo Alireza Makhzani 365 76 0 13 Oct 2022
Sequential Neural Score Estimation: Likelihood-Free Inference with Conditional Score Based Diffusion ModelsInternational Conference on Machine Learning (ICML), 2022 Louis Sharrock J. Simons Song Liu Mark Beaumont DiffM 287 50 0 10 Oct 2022
A Survey on Generative Diffusion ModelIEEE Transactions on Knowledge and Data Engineering (TKDE), 2022 Hanqun Cao Cheng Tan Zhangyang Gao Yilun Xu Guangyong Chen Pheng-Ann Heng Stan Z. Li MedIm 765 411 0 06 Sep 2022
Semi-Autoregressive Energy Flows: Exploring Likelihood-Free Training of Normalizing FlowsInternational Conference on Machine Learning (ICML), 2022 Phillip Si Zeyi Chen Subham S. Sahoo Yair Schiff Volodymyr Kuleshov 230 9 0 14 Jun 2022