Jacob Granley

According to our database, Jacob Granley authored at least 11 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Percept-Aware Surgical Planning for Visual Cortical Prostheses with Vascular Avoidance.

Galen Pogoncheff, Alvin Wang, Jacob Granley, Michael Beyeler

CoRR, March, 2026

2025

Fuzzing the brain: Automated stress testing for the safety of ML-driven neurostimulation.

Mara Downing, Matthew Peng, Jacob Granley, Michael Beyeler, Tevfik Bultan

CoRR, December, 2025

Evaluating Deep Human-in-the-Loop Optimization for Retinal Implants Using Sighted Participants.

Eirini Schoinas, Adyah Rastogi, Anissa Carter, Jacob Granley, Michael Beyeler

CoRR, February, 2025

2023

Explaining V1 Properties with a Biologically Constrained Deep Learning Architecture.

Galen Pogoncheff, Jacob Granley, Michael Beyeler

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Human-in-the-Loop Optimization for Deep Stimulus Encoding in Visual Prostheses.

Jacob Granley, Tristan Fauvel, Matthew Chalk, Michael Beyeler

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Adapting Brain-Like Neural Networks for Modeling Cortical Visual Prostheses.

Jacob Granley, Alexander Riedel, Michael Beyeler

CoRR, 2022

A Hybrid Neural Autoencoder for Sensory Neuroprostheses and Its Applications in Bionic Vision.

Jacob Granley, Lucas Relic, Michael Beyeler

CoRR, 2022

Hybrid Neural Autoencoders for Stimulus Encoding in Visual and Other Sensory Neuroprostheses.

Jacob Granley, Lucas Relic, Michael Beyeler

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

U-Net with Hierarchical Bottleneck Attention for Landmark Detection in Fundus Images of the Degenerated Retina.

Shuyun Tang, Ziming Qi, Jacob Granley, Michael Beyeler

Proceedings of the Ophthalmic Medical Image Analysis - 8th International Workshop, 2021

A Computational Model of Phosphene Appearance for Epiretinal Prostheses.

Jacob Granley, Michael Beyeler

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020

Attacking and Protecting Tunneled Traffic of Smart Home Devices.

Ahmed Alshehri, Jacob Granley, Chuan Yue

Proceedings of the CODASPY '20: Tenth ACM Conference on Data and Application Security and Privacy, 2020