Full Professor, Carnegie Mellon University
2 papers at NeurIPS 2025
We meta-learn a transformer based in-context learning fMRI visual cortex encoder which can adapt to new human subjects without any fine-tuning
ViGoRL is a vision-language model trained with reinforcement learning to ground each reasoning step in image coordinates, improving performance on spatial and web-based reasoning tasks through better attention and visual verification.
