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Discrete diffusion models have emerged as powerful tools for high-quality data generation.
Mask-predict: Parallel decoding of conditional masked language models
Ghazvininejad, M · 1904
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fairseq: A fast, extensible toolkit for sequence modeling
Ott, M · 1904
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Bleu: a method for automatic evaluation of machine translation
Papineni, K · 2002
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Contrastive divergence in gaussian diffusions
Movellan, J. R · 2008
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Wavegrad: Estimating gradients for waveform generation
Chen, N · 2009
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Diffwave: A versatile diffusion model for audio synthesis
Kong, Z · 2009
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Minimum probability flow learning
Sohl-Dickstein, J · 2009
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Denoising diffusion implicit models
Song, J · 2010
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Score-based generative modeling through stochastic differential equations
Song, Y · 2011
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Interpretation and generalization of score matching
Lyu, S · 2012
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Deep generative stochastic networks trainable by backprop
Bengio, Y · 2014
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Findings of the 2014 workshop on statistical machine translation
Bojar, O · 2014
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Report on the 11th IWSLT evaluation campaign
Cettolo, M · 2014
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Deep unsupervised learning using nonequilibrium thermodynamics
Sohl-Dickstein, J · 2015
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Gsns: generative stochastic networks
Alain, G · 2016
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Findings of the 2016 conference on machine translation
Bojar, O · 2016
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Neural machine translation of rare words with subword units
Sennrich, R · 2016
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Variational walkback: Learning a transition operator as a stochastic recurrent net
ALIAS PARTH GOYAL, A. G · 2017
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Learning to generate samples from noise through infusion training
Bordes, F · 2017
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Generative modeling by estimating gradients of the data distribution
Song, Y · 2019
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Denoising diffusion probabilistic models
Ho, J · 2020
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Improved techniques for training score-based generative models
Song, Y · 2020
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Structured denoising diffusion models in discrete state-spaces
Austin, J · 2021
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Maskgit: Masked generative image transformer
Chang, H · 2022
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Come-closer-diffuse-faster: Accelerating conditional diffusion models for inverse problems through stochastic contraction
Chung, H · 2022
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Genie: Higher-order denoising diffusion solvers
Dockhorn, T · 2022
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Diffusionbert: Improving generative masked language models with diffusion models
He, Z · 2022
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Imagen video: High definition video generation with diffusion models
Ho, J · 2022
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Elucidating the design space of diffusion-based generative models
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Score-based generative modeling with critically-damped langevin diffusion
Dockhorn, T · 2021
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Gotta go fast when generating data with score-based models
Jolicoeur-Martineau, A · 2021
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On fast sampling of diffusion probabilistic models
Kong, Z · 2021
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Non gaussian denoising diffusion models
Nachmani, E · 2021
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Improved denoising diffusion probabilistic models
Nichol, A. Q · 2021
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Noise estimation for generative diffusion models
San-Roman, R · 2021
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Karras, T · 2022
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Pseudo numerical methods for diffusion models on manifolds
Liu, L · 2022
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Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps
Lu, C · 2022
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Diffuser: Discrete diffusion via edit-based reconstruction
Reid, M · 2022
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Progressive distillation for fast sampling of diffusion models
Salimans, T · 2022
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Score-based continuous-time discrete diffusion models
Sun, H · 2022
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Fast sampling of diffusion models with exponential integrator
Zhang, Q · 2022
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Synthesizing mixed-type electronic health records using diffusion models
Ceritli, T · 2023
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Song, Y · 2023
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Diffusion language models can perform many tasks with scaling and instruction-finetuning
Ye, J · 2023
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A reparameterized discrete diffusion model for text generation
Zheng, L · 2023
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Protein design with guided discrete diffusion
Gruver, N · 2024
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