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Found 7 papers, 3 papers with code
Generalising sequence models for epigenome predictions with tissue and assay embeddings
Sequence modelling approaches for epigenetic profile prediction have recently expanded in terms of sequence length, model size, and profile diversity.
Heavy-tailed denoising score matching
Score-based model research in the last few years has produced state of the art generative models by employing Gaussian denoising score-matching (DSM).
$\alpha$-VAEs : Optimising variational inference by learning data-dependent divergence skew
The {\em skew-geometric Jensen-Shannon divergence} $\left(\textrm{JS}^{\textrm{G}_{\alpha}}\right)$ allows for an intuitive interpolation between forward and reverse Kullback-Leibler (KL) divergence based on the skew parameter $\alpha$.
Constraining Variational Inference with Geometric Jensen-Shannon Divergence
We examine the problem of controlling divergences for latent space regularisation in variational autoencoders.
Adaptive Prediction Timing for Electronic Health Records
In realistic scenarios, multivariate timeseries evolve over case-by-case time-scales.
Impact of novel aggregation methods for flexible, time-sensitive EHR prediction without variable selection or cleaning
Dynamic assessment of patient status (e. g. by an automated, continuously updated assessment of outcome) in the Intensive Care Unit (ICU) is of paramount importance for early alerting, decision support and resource allocation.
Dynamic survival prediction in intensive care units from heterogeneous time series without the need for variable selection or pre-processing
Recordings in the first few hours of a patient's stay were found to be strongly predictive of mortality, outperforming models using SAPS II and OASIS scores within just 2 hours and achieving a state of the art Area Under the Receiver Operating Characteristic (AUROC) value of 0. 80 (95% CI 0. 79-0. 80) at 12 hours vs 0. 70 and 0. 66 for SAPS II and OASIS at 24 hours respectively.
