A framework samples coherent but cognitively unavailable "alien" research directions by maximizing idea coherence while minimizing existing community availability, broadening explored vocabularies 3.5-7x over LLM baselines.
PENEX introduces a multi-class exponential loss optimized via first-order methods that increases margins and improves neural network generalization in low-data regimes.