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Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions

10 February 2021

Papers citing "Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions"

24 / 224 papers shown

Title
Efficient Diffusion Models for Vision: A Survey Anwaar Ulhaq Naveed Akhtar MedIm 160 68 0 07 Oct 2022
Diffusion Models for Graphs Benefit From Discrete State Spaces K. Haefeli Karolis Martinkus Nathanael Perraudin Roger Wattenhofer DiffM 209 57 0 04 Oct 2022
TabDDPM: Modelling Tabular Data with Diffusion Models Akim Kotelnikov Dmitry Baranchuk Ivan Rubachev Artem Babenko DiffM 131 269 0 30 Sep 2022
All are Worth Words: A ViT Backbone for Diffusion Models Fan Bao Shen Nie Kaiwen Xue Yue Cao Chongxuan Li Hang Su Jun Zhu VLM 205 366 0 25 Sep 2022
Improved Masked Image Generation with Token-Critic José Lezama Huiwen Chang Lu Jiang Irfan Essa DiffM 255 48 0 09 Sep 2022
Unifying Generative Models with GFlowNets and Beyond Dinghuai Zhang Ricky T. Q. Chen Nikolay Malkin Yoshua Bengio BDL AI4CE 123 26 0 06 Sep 2022
Diffusion Models: A Comprehensive Survey of Methods and Applications Ling Yang Zhilong Zhang Yingxia Shao Shenda Hong Runsheng Xu Yue Zhao Wentao Zhang Tengjiao Wang Ming-Hsuan Yang DiffM MedIm 579 1,428 0 02 Sep 2022
Let us Build Bridges: Understanding and Extending Diffusion Generative Models Xingchao Liu Lemeng Wu Mao Ye Qiang Liu DiffM 89 85 0 31 Aug 2022
Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning Ting-Li Chen Ruixiang Zhang Geoffrey E. Hinton DiffM 158 313 0 08 Aug 2022
Diffsound: Discrete Diffusion Model for Text-to-sound Generation Dongchao Yang Jianwei Yu Helin Wang Wen Wang Chao Weng Yuexian Zou Dong Yu DiffM 111 306 0 20 Jul 2022
Discrete Tree Flows via Tree-Structured Permutations Mai Elkady Jim Lim David I. Inouye TPM 73 2 0 04 Jul 2022
Generative Modelling With Inverse Heat Dissipation Severi Rissanen Markus Heinonen Arno Solin DiffM 171 121 0 21 Jun 2022
Diffusion models as plug-and-play priors Alexandros Graikos Nikolay Malkin Nebojsa Jojic Dimitris Samaras DiffM 176 224 0 17 Jun 2022
CARD: Classification and Regression Diffusion Models Xizewen Han Huangjie Zheng Mingyuan Zhou DiffM 108 116 0 15 Jun 2022
Few-Shot Diffusion Models Giorgio Giannone Didrik Nielsen Ole Winther DiffM 245 51 0 30 May 2022
A Continuous Time Framework for Discrete Denoising Models Andrew Campbell Joe Benton Valentin De Bortoli Tom Rainforth George Deligiannidis Arnaud Doucet DiffM 297 168 0 30 May 2022
Fast Sampling of Diffusion Models with Exponential Integrator Qinsheng Zhang Yongxin Chen DiffM 114 439 0 29 Apr 2022
A Survey on Non-Autoregressive Generation for Neural Machine Translation and Beyond Yisheng Xiao Lijun Wu Junliang Guo Juntao Li Hao Fei Tao Qin Tie-Yan Liu 3DV MedIm AI4CE 98 90 0 20 Apr 2022
Equivariant Diffusion for Molecule Generation in 3D Emiel Hoogeboom Victor Garcia Satorras Clément Vignac Max Welling DiffM 175 628 0 31 Mar 2022
Diffusion bridges vector quantized Variational AutoEncoders Max H. Cohen Guillaume Quispe Sylvain Le Corff Charles Ollion Eric Moulines DiffM 92 15 0 10 Feb 2022
Heavy-tailed denoising score matching J. Deasy Nikola Simidjievski Pietro Lio DiffM 81 16 0 17 Dec 2021
EdiBERT, a generative model for image editing Thibaut Issenhuth Ugo Tanielian Jérémie Mary David Picard DiffM 104 12 0 30 Nov 2021
Autoregressive Diffusion Models Emiel Hoogeboom Alexey A. Gritsenko Jasmijn Bastings Ben Poole Rianne van den Berg Tim Salimans DiffM 134 155 0 05 Oct 2021
Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models Sam Bond-Taylor Adam Leach Yang Long Chris G. Willcocks VLM TPM 206 511 0 08 Mar 2021