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ORCIDHelena Andrés-Terré
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2020 – today
- 2022
[j4]Ramón Viñas, Helena Andrés-Terré, Pietro Liò
, Kevin Bryson:
Adversarial generation of gene expression data. Bioinform. 38(3): 730-737 (2022)- [j3]David Buterez, Ioana Bica, Ifrah Tariq, Helena Andrés-Terré, Pietro Liò:
CellVGAE: an unsupervised scRNA-seq analysis workflow with graph attention networks. Bioinform. 38(5): 1277-1286 (2022) - [j2]Paul Scherer, Maja Trebacz, Nikola Simidjievski, Ramón Viñas, Zohreh Shams, Helena Andrés-Terré, Mateja Jamnik, Pietro Liò:
Unsupervised construction of computational graphs for gene expression data with explicit structural inductive biases. Bioinform. 38(5): 1320-1327 (2022) - [j1]Helena Coggan, Helena Andrés-Terré, Pietro Liò:
A novel interpretable machine learning algorithm to identify optimal parameter space for cancer growth. Frontiers Big Data 5 (2022) - 2021
- [i7]Dmitry Kazhdan, Botty Dimanov, Helena Andrés-Terré, Mateja Jamnik, Pietro Liò, Adrian Weller:
Is Disentanglement all you need? Comparing Concept-based & Disentanglement Approaches. CoRR abs/2104.06917 (2021) - [i6]Amine Amor, Pietro Lio', Vikash Singh, Ramón Viñas Torné, Helena Andrés-Terré:
Graph Representation Learning on Tissue-Specific Multi-Omics. CoRR abs/2107.11856 (2021) - 2020
- [i5]Paul Scherer, Maja Trebacz, Nikola Simidjievski, Zohreh Shams, Helena Andrés-Terré, Pietro Liò, Mateja Jamnik:
Incorporating network based protein complex discovery into automated model construction. CoRR abs/2010.00387 (2020) - [i4]Maja Trebacz, Zohreh Shams, Mateja Jamnik, Paul Scherer, Nikola Simidjievski, Helena Andrés-Terré, Pietro Liò:
Using ontology embeddings for structural inductive bias in gene expression data analysis. CoRR abs/2011.10998 (2020)
2010 – 2019
- 2019
- [b1]Helena Andrés-Terré:
Interpreting deep learning for cell differentiation: supervised and unsupervised models viewed through the lens of information and perturbation theory. University of Cambridge, UK, 2019 - [i3]Ezra Webb, Ben Day, Helena Andrés-Terré, Pietro Lió:
Factorised Neural Relational Inference for Multi-Interaction Systems. CoRR abs/1905.08721 (2019) - [i2]Helena Andrés-Terré, Pietro Lió:
Perturbation theory approach to study the latent space degeneracy of Variational Autoencoders. CoRR abs/1907.05267 (2019) - [i1]Paul Scherer, Helena Andrés-Terré, Pietro Liò, Mateja Jamnik:
Decoupling feature propagation from the design of graph auto-encoders. CoRR abs/1910.08589 (2019)
Coauthor Index
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