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Ningbo Key Laboratory of Advanced Manufacturing Simulation, Eastern Institute of Technology, Ningbo, Ningbo, China
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The new REO framework reveals that the true challenge in differential equation discovery lies not just in recovering equations, but in leveraging them to reshape scientific understanding.
Urban trajectory generation is a multi-objective challenge where no single model can dominate all performance metrics, revealing critical trade-offs in generative approaches.
By mapping symbolic equations into a continuous latent space, GenSR enables gradient-based optimization for symbolic regression, sidestepping the noisy feedback that plagues discrete search methods.
Forget static LoRA fusion – this method dynamically blends subject and style, guided by feature divergence and CLIP/DINO metrics, for superior image synthesis.
