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07/25/2021
Graph Representation Learning on Tissue-Specific Multi-Omics
Combining different modalities of data from human tissues has been criti...
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04/14/2021
Is Disentanglement all you need? Comparing Concept-based Disentanglement Approaches
Concept-based explanations have emerged as a popular way of extracting h...
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11/22/2020
Using ontology embeddings for structural inductive bias in gene expression data analysis
Stratifying cancer patients based on their gene expression levels allows...
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09/29/2020
Incorporating network based protein complex discovery into automated model construction
We propose a method for gene expression based analysis of cancer phenoty...
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10/18/2019
Decoupling feature propagation from the design of graph auto-encoders
We present two instances, L-GAE and L-VGAE, of the variational graph aut...
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07/10/2019
Perturbation theory approach to study the latent space degeneracy of Variational Autoencoders
The use of Variational Autoencoders in different Machine Learning tasks ...
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05/21/2019