Input Space Mode Connectivity in Deep Neural Networks
We extend the concept of loss landscape mode connectivity to the input space of deep
neural networks. Mode connectivity was originally studied within parameter space, where it …
neural networks. Mode connectivity was originally studied within parameter space, where it …
A singular Riemannian Geometry Approach to Deep Neural Networks III. Piecewise Differentiable Layers and Random Walks on -dimensional Classes
Neural networks are playing a crucial role in everyday life, with the most modern generative
models able to achieve impressive results. Nonetheless, their functioning is still not very …
models able to achieve impressive results. Nonetheless, their functioning is still not very …