An-phi Nguyen

11 papers Journal 10Unranked 1
YearRankTypeTitle / Venue / Authors
2023 J jnl
FLAN: feature-wise latent additive neural models for biological applications.
Briefings Bioinform.
An-phi Nguyen, Stefania Vasilaki, María Rodríguez Martínez
2023 J jnl
Uncovering Unique Concept Vectors through Latent Space Decomposition.
CoRR
Mara Graziani, Laura O'Mahony, An-phi Nguyen, Henning Müller, Vincent Andrearczyk
2023 J jnl
Uncovering Unique Concept Vectors through Latent Space Decomposition.
Trans. Mach. Learn. Res.
Mara Graziani, Laura O'Mahony, An-phi Nguyen, Henning Müller, Vincent Andrearczyk
2022 J jnl
DECODE: a computational pipeline to discover T cell receptor binding rules.
Bioinform.
Iliana Papadopoulou, An-phi Nguyen, Anna Weber, María Rodríguez Martínez
2021 J jnl
It's FLAN time! Summing feature-wise latent representations for interpretability.
CoRR
An-phi Nguyen, María Rodríguez Martínez
2020 J jnl
Learning Invariances for Interpretability using Supervised VAE.
CoRR
An-phi Nguyen, María Rodríguez Martínez
2020 J jnl
On quantitative aspects of model interpretability.
CoRR
An-phi Nguyen, María Rodríguez Martínez
2019 J jnl
MonoNet: Towards Interpretable Models by Learning Monotonic Features.
CoRR
An-phi Nguyen, María Rodríguez Martínez
2019 J jnl
edGNN: a Simple and Powerful GNN for Directed Labeled Graphs.
CoRR
Guillaume Jaume, An-phi Nguyen, María Rodríguez Martínez, Jean-Philippe Thiran, Maria Gabrani
2018 — conf
Patient Risk Assessment and Warning Symptom Detection Using Deep Attention-Based Neural Networks.
Louhi@EMNLP
Ivan Girardi, Pengfei Ji, An-phi Nguyen, Nora Hollenstein, Adam Ivankay, Lorenz Kuhn, Chiara Marchiori, Ce Zhang
2018 J jnl
Patient Risk Assessment and Warning Symptom Detection Using Deep Attention-Based Neural Networks.
CoRR
Ivan Girardi, Pengfei Ji, An-phi Nguyen, Nora Hollenstein, Adam Ivankay, Lorenz Kuhn, Chiara Marchiori, Ce Zhang