To this end, we introduce a novel visualization algorithm that reveals the internal geometry of such networks: Multislice PHATE (M-PHATE), the first method ...

In this paper, we employ PHATE [14], a kernel-based dimensionality reduction method designed specifically for visualization which uses multidimensional scaling ...

To this end, we introduce a novel visualization algorithm that reveals the internal geometry of such networks: Multislice PHATE (M-PHATE), the first method ...

In this paper, we employ PHATE [14] , a kernel-based dimensionality reduction method designed specifically for visualization which uses multidimensional scaling ...

Multislice PHATE (M-PHATE) is introduced, the first method designed explicitly to visualize how a neural network's hidden representations of data evolve ...

The authors use M-PHATE to visualize the training process with different regularization techniques or the continual learning task with different optimization ...

Aug 7, 2019 · To this end, we introduce a novel visualization algorithm that reveals the internal geometry of such networks: Multislice PHATE (M-PHATE), the ...

Invited Talk in. Workshop: Geometric and Topological Representation Learning. Gal Mishne: Visualizing the PHATE of deep neural networks. Gal Mishne.

Multislice PHATE (M-PHATE) is a dimensionality reduction algorithm for the visualization of time-evolving data.

Visualizing the PHATE of Neural Networks. The reviewers are all positive if not wildly so, and as the response suggests I would like to not put too much ...