28 citations · 28 across the 3 of their papers we have counts for
3 papers
Parameter identification from single trajectory data: from linear to nonlinear
Xiaoyu Duan, Jonathan E Rubin, David Swigon
Our recent work lays out a general framework for inferring information about the parameters and associated dynamics of a differential equation model from a discrete set of data poi…
Deep Normed Embeddings for Patient Representation
Thesath Nanayakkara, Gilles Clermont, Christopher James Langmead +1
We introduce a novel contrastive representation learning objective and a training scheme for clinical time series. Specifically, we project high dimensional EHR. data to a closed u…
Unifying Cardiovascular Modelling with Deep Reinforcement Learning for Uncertainty Aware Control of Sepsis Treatment
Thesath Nanayakkara, Gilles Clermont, Christopher James Langmead +1
Sepsis is a potentially life threatening inflammatory response to infection or severe tissue damage. It has a highly variable clinical course, requiring constant monitoring of the…