Timezone: »

Topological Data Analysis of Decision Boundaries with Application to Model Selection
Karthikeyan Ramamurthy · Kush Varshney · Krishnan Mody

Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #124

We propose the labeled Cech complex, the plain labeled Vietoris-Rips complex, and the locally scaled labeled Vietoris-Rips complex to perform persistent homology inference of decision boundaries in classification tasks. We provide theoretical conditions and analysis for recovering the homology of a decision boundary from samples. Our main objective is quantification of deep neural network complexity to enable matching of datasets to pre-trained models to facilitate the functioning of AI marketplaces; we report results for experiments using MNIST, FashionMNIST, and CIFAR10.

Author Information

Karthikeyan Ramamurthy (IBM Research)
Kush Varshney (IBM Research AI)
Krishnan Mody (New York University)

Related Events (a corresponding poster, oral, or spotlight)

More from the Same Authors