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02/21/2023
Scalable Infomin Learning
The task of infomin learning aims to learn a representation with high ut...
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08/10/2021
A Generalizable Model-and-Data Driven Approach for Open-Set RFF Authentication
Radio-frequency fingerprints (RFFs) are promising solutions for realizin...
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05/10/2021
Do Concept Bottleneck Models Learn as Intended?
Concept bottleneck models map from raw inputs to concepts, and then from...
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10/20/2020
Neural Approximate Sufficient Statistics for Implicit Models
We consider the fundamental problem of how to automatically construct su...
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02/27/2019
Adaptive Gaussian Copula ABC
Approximate Bayesian computation (ABC) is a set of techniques for Bayesi...
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02/23/2019
