2 papers
cs.LG2025
How does training shape the Riemannian geometry of neural network representations?
Jacob A. Zavatone-Veth, Sheng Yang, Julian A. Rubinfien +1
In machine learning, there is a long history of trying to build neural networks that can learn from fewer example data by baking in strong geometric priors. However, it is not alwa…
physics.bio-ph2024
Hair cells in the cochlea must tune resonant modes to the edge of instability without destabilizing collective modes
Asheesh S. Momi, Michael C. Abbott, Julian Rubinfien +2
Sound produces surface waves along the cochlea's basilar membrane. To achieve the ear's astonishing frequency resolution and sensitivity to faint sounds, dissipation in the cochlea…