Scaling laws and similitude methods constitute a fundamental framework in structural dynamics, enabling the accurate prediction of full-scale behaviour from reduced-scale models. By establishing ...
Diffusion models are widely used in many AI applications, but research on efficient inference-time scalability*, particularly for reasoning and planning (known as System 2 abilities) has been lacking.
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