An-phi Nguyen | DeepAI

AI Chat

Featured Co-authors

Ce Zhang
133 publications
Jean-Philippe Thiran
49 publications
Henning Müller
21 publications
Nora Hollenstein
20 publications
María Rodríguez Martínez
18 publications
Guillaume Jaume
17 publications
Maria Gabrani
15 publications
Vincent Andrearczyk
12 publications
Mara Graziani
9 publications
Adam Ivankay
7 publications
Chiara Marchiori
6 publications

∙ 07/13/2023

Uncovering Unique Concept Vectors through Latent Space Decomposition

Interpreting the inner workings of deep learning models is crucial for e...

0 Mara Graziani, et al. ∙

∙ 06/18/2021

It's FLAN time! Summing feature-wise latent representations for interpretability

Interpretability has become a necessary feature for machine learning mod...

3 An-phi Nguyen, et al. ∙

∙ 07/15/2020

Learning Invariances for Interpretability using Supervised VAE

We propose to learn model invariances as a means of interpreting a model...

0 An-phi Nguyen, et al. ∙

∙ 07/15/2020

On quantitative aspects of model interpretability

Despite the growing body of work in interpretable machine learning, it r...

0 An-phi Nguyen, et al. ∙

∙ 09/30/2019

MonoNet: Towards Interpretable Models by Learning Monotonic Features

Being able to interpret, or explain, the predictions made by a machine l...

0 An-phi Nguyen, et al. ∙

∙ 04/18/2019

edGNN: a Simple and Powerful GNN for Directed Labeled Graphs

The ability of a graph neural network (GNN) to leverage both the graph t...

0 Guillaume Jaume, et al. ∙

∙ 09/28/2018

Patient Risk Assessment and Warning Symptom Detection Using Deep Attention-Based Neural Networks

We present an operational component of a real-world patient triage syste...

0 Ivan Girardi, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world