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05/25/2023
Learning Directed Graphical Models with Optimal Transport
Estimating the parameters of a probabilistic directed graphical model fr...
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09/27/2022
Learning to Counter: Stochastic Feature-based Learning for Diverse Counterfactual Explanations
Interpretable machine learning seeks to understand the reasoning process...
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09/22/2022
Memory-Augmented Graph Neural Networks: A Neuroscience Perspective
Graph neural networks (GNNs) have been extensively used for many domains...
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07/07/2022
An Additive Instance-Wise Approach to Multi-class Model Interpretation
Interpretable machine learning offers insights into what factors drive a...
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06/10/2022
Unsupervised Sentence Simplification via Dependency Parsing
Text simplification is the task of rewriting a text so that it is readab...
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06/09/2021