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08/21/2023
Fat Shattering, Joint Measurability, and PAC Learnability of POVM Hypothesis Classes
We characterize learnability for quantum measurement classes by establis...
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05/11/2023
Promise and Limitations of Supervised Optimal Transport-Based Graph Summarization via Information Theoretic Measures
Graph summarization is the problem of producing smaller graph representa...
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09/22/2021
Temporal Scale Estimation for Oversampled Network Cascades: Theory, Algorithms, and Experiment
Spreading processes on graphs arise in a host of application domains, fr...
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02/13/2020
The Power of Graph Convolutional Networks to Distinguish Random Graph Models: Short Version
Graph convolutional networks (GCNs) are a widely used method for graph r...
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10/28/2019
The Power of Graph Convolutional Networks to Distinguish Random Graph Models
Graph convolutional networks (GCNs) are a widely used method for graph r...
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04/06/2019