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Your Absorbing Discrete Diffusion Secretly Models the Conditional Distributions of Clean Data

International Conference on Learning Representations
Discrete diffusion models with absorbing processes have shown promise in language modeling. The key quantities to be estimated are the ratios between the marginal probabilities of two transitive states at all timesteps, called the concrete score. In this
Jingyang Ou   +6 more
semanticscholar   +1 more source

Conditional Probability Logic over Conditional Probability Spaces

2015
We present a logical system sound and complete with respect to the class of conditional probability spaces. The universal modality has an important role in our language: conditional probabilities have a peculiar behavior when conditionalized over empty events, so we use the universal modality to express nonemptiness of events.
openaire   +1 more source

Conditional Probability

2017
Conditional probability has been put to many uses in philosophy, and several proposals have been made regarding its relation to unconditional probability, especially in cases involving infinitely many alternatives that may have probability 0. This chapter briefly summarizes some of the literature connecting conditional probabilities to probabilities of
  +4 more sources

Improving Process Discovery Results by Filtering Outliers Using Conditional Behavioural Probabilities

Business Process Management Workshops, 2017
M. Sani   +2 more
semanticscholar   +1 more source

MCMC Estimation of Conditional Probabilities in Probabilistic Programming Languages

European Conference on Symbolic and Quantitative Approaches to Reasoning and Uncertainty, 2013
Bogdan Moldovan   +3 more
semanticscholar   +1 more source

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