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An-Phi Nguyen
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2020 – today
- 2023
- [j3]An-phi Nguyen
, Stefania Vasilaki, María Rodríguez Martínez:
FLAN: feature-wise latent additive neural models for biological applications. Briefings Bioinform. 24(3) (2023) - [j2]Mara Graziani, Laura O'Mahony, An-Phi Nguyen, Henning Müller, Vincent Andrearczyk:
Uncovering Unique Concept Vectors through Latent Space Decomposition. Trans. Mach. Learn. Res. 2023 (2023) - [i7]Mara Graziani, Laura O'Mahony, An-Phi Nguyen, Henning Müller, Vincent Andrearczyk:
Uncovering Unique Concept Vectors through Latent Space Decomposition. CoRR abs/2307.06913 (2023) - 2022
- [j1]Iliana Papadopoulou, An-Phi Nguyen, Anna Weber, María Rodríguez Martínez:
DECODE: a computational pipeline to discover T cell receptor binding rules. Bioinform. 38(Supplement_1): i246-i254 (2022) - 2021
- [i6]An-phi Nguyen, María Rodríguez Martínez
:
It's FLAN time! Summing feature-wise latent representations for interpretability. CoRR abs/2106.10086 (2021) - 2020
- [i5]An-phi Nguyen, María Rodríguez Martínez
:
On quantitative aspects of model interpretability. CoRR abs/2007.07584 (2020) - [i4]An-phi Nguyen, María Rodríguez Martínez:
Learning Invariances for Interpretability using Supervised VAE. CoRR abs/2007.07591 (2020)
2010 – 2019
- 2019
- [i3]Guillaume Jaume, An-phi Nguyen, María Rodríguez Martínez
, Jean-Philippe Thiran, Maria Gabrani:
edGNN: a Simple and Powerful GNN for Directed Labeled Graphs. CoRR abs/1904.08745 (2019) - [i2]An-phi Nguyen, María Rodríguez Martínez:
MonoNet: Towards Interpretable Models by Learning Monotonic Features. CoRR abs/1909.13611 (2019) - 2018
- [c1]Ivan Girardi, Pengfei Ji, An-phi Nguyen, Nora Hollenstein, Adam Ivankay, Lorenz Kuhn, Chiara Marchiori, Ce Zhang:
Patient Risk Assessment and Warning Symptom Detection Using Deep Attention-Based Neural Networks. Louhi@EMNLP 2018: 139-148 - [i1]Ivan Girardi, Pengfei Ji, An-phi Nguyen, Nora Hollenstein, Adam Ivankay, Lorenz Kuhn, Chiara Marchiori, Ce Zhang:
Patient Risk Assessment and Warning Symptom Detection Using Deep Attention-Based Neural Networks. CoRR abs/1809.10804 (2018)
Coauthor Index

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