Author

Leonel Aguilar

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#machine learning Preprint Sep 2026

What Should We Freeze? Guarded Freezing: Connectivity Shapes the Fine-Tuning of Pretrained Models

When adapting pre-trained models through fine-tuning, freezing weights alone might not preserve performance, as updates elsewhere can change the inputs to the frozen core, ultimately affecting overall performance. We first analyse the case where a selected frozen core can be isolated and propose removal-value, a capaci...

Leonel Aguilar · 0 citations

#artificial intelligence Preprint Sep 2026

STRIDE: Automated Evaluation of Text-to-Trajectory Alignment across Diverse Contexts

This work introduces STRIDE, the first framework for evaluating context alignment between scenario descriptions and pedestrian trajectories, and believes that the STRIDE framework provides a first step toward principled evaluation of context-aligned pedestrian trajectory generation.

Wan-Chun Ni, Tao Qi, Leonel Aguilar et al. · 0 citations