Vy Vo | DeepAI

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∙ 05/25/2023

Learning Directed Graphical Models with Optimal Transport

Estimating the parameters of a probabilistic directed graphical model fr...

0 Vy Vo, et al. ∙

∙ 09/27/2022

Learning to Counter: Stochastic Feature-based Learning for Diverse Counterfactual Explanations

Interpretable machine learning seeks to understand the reasoning process...

0 Vy Vo, et al. ∙

∙ 09/22/2022

Memory-Augmented Graph Neural Networks: A Neuroscience Perspective

Graph neural networks (GNNs) have been extensively used for many domains...

0 Guixiang Ma, et al. ∙

∙ 07/07/2022

An Additive Instance-Wise Approach to Multi-class Model Interpretation

Interpretable machine learning offers insights into what factors drive a...

0 Vy Vo, et al. ∙

∙ 06/10/2022

Unsupervised Sentence Simplification via Dependency Parsing

Text simplification is the task of rewriting a text so that it is readab...

0 Vy Vo, et al. ∙

∙ 06/09/2021

Low-Dimensional Structure in the Space of Language Representations is Reflected in Brain Responses

How related are the representations learned by neural language models, t...

0 Richard Antonello, et al. ∙

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