Discover how geometry-preserving loss functions enhance blackbox generative model adaptation, improving accuracy and enabling efficient domain-specific AI...
Discover a data-driven approach to optimize humanoid robot kinematics using latent-space exploration and human motion data for better design automation.
Discover MO-RiskVAE, a multi-omics variational autoencoder improving survival risk prediction in multiple myeloma through advanced latent space modeling.