11 citations · 12 across the 4 of their papers we have counts for
4 papers
Zero-Ablation Overstates Register Content Dependence in DINO Vision Transformers
Felipe Parodi, Jordan Matelsky, Melanie Segado
Zero-ablation -- replacing token activations with zero vectors -- is widely used to probe token function in vision transformers. Register zeroing in DINOv2+registers and DINOv3 pro…
Grounding Intelligence in Movement
Melanie Segado, Felipe Parodi, Jordan K. Matelsky +3
Recent advances in machine learning have dramatically improved our ability to model language, vision, and other high-dimensional data, yet they continue to struggle with one of the…
Vision-language models for decoding provider attention during neonatal resuscitation
Felipe Parodi, Jordan Matelsky, Alejandra Regla-Vargas +6
Neonatal resuscitations demand an exceptional level of attentiveness from providers, who must process multiple streams of information simultaneously. Gaze strongly influences decis…
A large language model-assisted education tool to provide feedback on open-ended responses
Jordan K. Matelsky, Felipe Parodi, Tony Liu +2
Open-ended questions are a favored tool among instructors for assessing student understanding and encouraging critical exploration of course material. Providing feedback for such r…