12 citations · 36 across the 10 of their papers we have counts for
3 papers · 1 filter
Fuzzing the brain: Automated stress testing for the safety of ML-driven neurostimulation
Mara Downing, Matthew Peng, Jacob Granley +2
Objective: Machine learning (ML) models are increasingly used to generate electrical stimulation patterns in neuroprosthetic devices such as visual prostheses. While these models p…
BIRD: Behavior Induction via Representation-structure Distillation
Galen Pogoncheff, Michael Beyeler
Human-aligned deep learning models exhibit behaviors consistent with human values, such as robustness, fairness, and honesty. Transferring these behavioral properties to models tra…
Evaluating Deep Human-in-the-Loop Optimization for Retinal Implants Using Sighted Participants
Eirini Schoinas, Adyah Rastogi, Anissa Carter +2
Human-in-the-loop optimization (HILO) is a promising approach for personalizing visual prostheses by iteratively refining stimulus parameters based on user feedback. Previous work…