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ICE-NODE: Integration of Clinical Embeddings with Neural Ordinary Differential Equations


Jul 06, 2022
Asem Alaa, Erik Mayer, Mauricio Barahona

* Accepted at Machine Learning for Healthcare 2022 

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Similarity measure for sparse time course data based on Gaussian processes


Feb 24, 2021
Zijing Liu, Mauricio Barahona

* 10pages, 6 figures 

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Graph-based Topic Extraction from Vector Embeddings of Text Documents: Application to a Corpus of News Articles


Oct 28, 2020
M. Tarik Altuncu, Sophia N. Yaliraki, Mauricio Barahona


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BART-based inference for Poisson processes


May 16, 2020
Stamatina Lamprinakou, Emma McCoy, Mauricio Barahona, Axel Gandy, Seth Flaxman, Sarah Filippi


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Geometric graphs from data to aid classification tasks with graph convolutional networks


May 08, 2020
Yifan Qian, Paul Expert, Pietro Panzarasa, Mauricio Barahona

* 20 pages (with SI), 9 figures, 3 tables 

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Semi-supervised classification on graphs using explicit diffusion dynamics


Sep 24, 2019
Robert L. Peach, Alexis Arnaudon, Mauricio Barahona


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Graph-based data clustering via multiscale community detection


Sep 06, 2019
Zijing Liu, Mauricio Barahona

* 16 pages, 5 figures 

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Extracting information from free text through unsupervised graph-based clustering: an application to patient incident records


Aug 31, 2019
M. Tarik Altuncu, Eloise Sorin, Joshua D. Symons, Erik Mayer, Sophia N. Yaliraki, Francesca Toni, Mauricio Barahona

* To appear as a book chapter 

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Learning spatiotemporal signals using a recurrent spiking network that discretizes time


Jul 20, 2019
Amadeus Maes, Mauricio Barahona, Claudia Clopath


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Quantifying the alignment of graph and features in deep learning


May 30, 2019
Yifan Qian, Paul Expert, Tom Rieu, Pietro Panzarasa, Mauricio Barahona

* 16 pages (with SI), 5 figures, 3 Tables 

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