Factorised Neural Relational Inference for Multi-Interaction Systems. - Ezra Webb; Ben Day; Helena Andrés-Terré; Pietro Lió (CoRR, 2019)

Perturbation theory approach to study the latent space degeneracy of Variational Autoencoders. - Helena Andrés-Terré; Pietro Lió (CoRR, 2019)

Decoupling feature propagation from the design of graph auto-encoders. - Paul Scherer; Helena Andrés-Terré; Pietro Liò; Mateja Jamnik (CoRR, 2019)

Interpreting deep learning for cell differentiation: supervised and unsupervised models viewed through the lens of information and perturbation theory. - Helena Andrés-Terré (2019)

Incorporating network based protein complex discovery into automated model construction. - Paul Scherer; Maja Trebacz; Nikola Simidjievski; Zohreh Shams; Helena Andrés-Terré; Pietro Liò; Mateja Jamnik (CoRR, 2020)

Using ontology embeddings for structural inductive bias in gene expression data analysis. - Maja Trebacz; Zohreh Shams; Mateja Jamnik; Paul Scherer; Nikola Simidjievski; Helena Andrés-Terré; Pietro Liò (CoRR, 2020)

Is Disentanglement all you need? Comparing Concept-based & Disentanglement Approaches. - Dmitry Kazhdan; Botty Dimanov; Helena Andrés-Terré; Mateja Jamnik; Pietro Liò; Adrian Weller (CoRR, 2021)

Graph Representation Learning on Tissue-Specific Multi-Omics. - Amine Amor; Pietro Lio'; Vikash Singh; Ramón Viñas Torné 001; Helena Andrés-Terré (CoRR, 2021)

CellVGAE: an unsupervised scRNA-seq analysis workflow with graph attention networks. - David Buterez; Ioana Bica; Ifrah Tariq; Helena Andrés-Terré; Pietro Liò (Bioinform., 2022)

Unsupervised construction of computational graphs for gene expression data with explicit structural inductive biases. - Paul Scherer; Maja Trebacz; Nikola Simidjievski; Ramón Viñas 001; Zohreh Shams; Helena Andrés-Terré; Mateja Jamnik; Pietro Liò (Bioinform., 2022)

Adversarial generation of gene expression data. - Ramón Viñas 001; Helena Andrés-Terré; Pietro Liò; Kevin Bryson 001 (Bioinform., 2022)

A novel interpretable machine learning algorithm to identify optimal parameter space for cancer growth. - Helena Coggan; Helena Andrés-Terré; Pietro Liò (Frontiers Big Data, 2022)