SAMPLE GENERATION BASED ON JOINT PROBABILITY DISTRIBUTION

    公开(公告)号:US20250046323A1

    公开(公告)日:2025-02-06

    申请号:US18718717

    申请日:2022-11-16

    Abstract: A device includes a neural network and a sample generator. The neural network is configured to process one or more neural network inputs to generate a joint probability distribution. The one or more neural network inputs include at least first previous sample data and second previous sample data associated with at least one previous data sample of a sequence of data samples. The sample generator is configured to generate first sample data and second sample data based on the joint probability distribution. The first sample data and the second sample data are associated with at least one data sample of the sequence of data samples.

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