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DeepCoDA: personalized interpretability for compositional health data
v1v2 (latest)

DeepCoDA: personalized interpretability for compositional health data

International Conference on Machine Learning (ICML), 2020
2 June 2020
Thomas P. Quinn
Dang Nguyen
Santu Rana
Sunil R. Gupta
Svetha Venkatesh
ArXiv (abs)PDFHTML

Papers citing "DeepCoDA: personalized interpretability for compositional health data"

7 / 7 papers shown
HealthFlow: A Self-Evolving AI Agent with Meta Planning for Autonomous Healthcare Research
HealthFlow: A Self-Evolving AI Agent with Meta Planning for Autonomous Healthcare Research
Yinghao Zhu
Yifan Qi
Zixiang Wang
Lei Gu
Dehao Sui
...
Xichen Zhang
Ziyi He
Junjun He
Liantao Ma
Lequan Yu
AIFin
309
6
0
04 Aug 2025
Data Augmentation for Compositional Data: Advancing Predictive Models of
  the Microbiome
Data Augmentation for Compositional Data: Advancing Predictive Models of the MicrobiomeNeural Information Processing Systems (NeurIPS), 2022
E. Gordon-Rodríguez
Thomas P. Quinn
John P. Cunningham
235
14
0
20 May 2022
A Field Guide to Scientific XAI: Transparent and Interpretable Deep
  Learning for Bioinformatics Research
A Field Guide to Scientific XAI: Transparent and Interpretable Deep Learning for Bioinformatics Research
Thomas P. Quinn
Sunil R. Gupta
Svetha Venkatesh
Vuong Le
OOD
228
3
0
13 Oct 2021
Instrumental Variable Estimation for Compositional Treatments
Instrumental Variable Estimation for Compositional TreatmentsScientific Reports (Sci Rep), 2021
Elisabeth Ailer
Christian L. Müller
Niki Kilbertus
CML
234
4
0
21 Jun 2021
Interpretability and Explainability: A Machine Learning Zoo Mini-tour
Interpretability and Explainability: A Machine Learning Zoo Mini-tour
Ricards Marcinkevics
Julia E. Vogt
XAI
472
135
0
03 Dec 2020
SWAG: A Wrapper Method for Sparse Learning
SWAG: A Wrapper Method for Sparse LearningSocial Science Research Network (SSRN), 2020
Roberto Molinari
Gaetan Bakalli
S. Guerrier
Cesare Miglioli
Samuel Orso
Mucyo Karemera
O. Scaillet
152
6
0
23 Jun 2020
The continuous categorical: a novel simplex-valued exponential family
The continuous categorical: a novel simplex-valued exponential familyInternational Conference on Machine Learning (ICML), 2020
E. Gordon-Rodríguez
Gabriel Loaiza-Ganem
John P. Cunningham
271
23
0
20 Feb 2020
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