A single energy-based model trained on LAPD plasma data enables diagnostic reconstruction, inverse inference of probe position, conditional trend sampling, and unconditional mode reproduction for potential anomaly detection.
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Composer Vector steers symbolic music generation models in latent space at inference time to control and blend composer styles without retraining.
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Energy-based models for diagnostic reconstruction and analysis in a laboratory plasma device
A single energy-based model trained on LAPD plasma data enables diagnostic reconstruction, inverse inference of probe position, conditional trend sampling, and unconditional mode reproduction for potential anomaly detection.
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Composer Vector: Style-steering Symbolic Music Generation in a Latent Space
Composer Vector steers symbolic music generation models in latent space at inference time to control and blend composer styles without retraining.