Generative quantum machine learning via denoising diffusion probabilistic models.
Bingzhi ZhangPeng XuXiaohui ChenQuntao ZhuangPublished in: CoRR (2023)
Keyphrases
- probabilistic model
- denoising
- machine learning
- generative model
- nonlinear diffusion
- diffusion processes
- graphical models
- image denoising
- total variation
- image processing
- noisy images
- bayesian inference
- expectation maximization
- anisotropic diffusion
- conditional random fields
- natural images
- noise removal
- discriminative models
- hidden variables
- machine learning methods
- unsupervised learning
- gaussian noise
- language model
- deep belief networks
- bayesian networks
- information extraction
- denoising algorithm
- quantum computing
- wavelet domain
- text mining
- support vector machine
- active learning
- decision trees
- noise reduction
- latent variables
- learning tasks
- machine learning algorithms
- em algorithm
- natural language processing
- denoising methods
- discriminative learning
- hidden markov models
- feature selection
- learning algorithm