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08/24/2023
Variational Information Pursuit with Large Language and Multimodal Models for Interpretable Predictions
Variational Information Pursuit (V-IP) is a framework for making interpr...
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02/06/2023
Variational Information Pursuit for Interpretable Predictions
There is a growing interest in the machine learning community in develop...
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07/03/2022
Interpretable by Design: Learning Predictors by Composing Interpretable Queries
There is a growing concern about typically opaque decision-making with h...
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04/11/2022
Structured Graph Variational Autoencoders for Indoor Furniture layout Generation
We present a structured graph variational autoencoder for generating the...
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02/06/2019
Neural Network Attributions: A Causal Perspective
We propose a new attribution method for neural networks developed using ...
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10/30/2017
