31 citations · 75 across the 18 of their papers we have counts for
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cs.LG2023★ 4 cited
Random Grid Neural Processes for Parametric Partial Differential Equations
Arnaud Vadeboncoeur, Ieva Kazlauskaite, Yanni Papandreou +3
We introduce a new class of spatially stochastic physics and data informed deep latent models for parametric partial differential equations (PDEs) which operate through scalable va…
cs.LG2020
Bayesian nonparametric shared multi-sequence time series segmentation
Olga Mikheeva, Ieva Kazlauskaite, Hedvig Kjellström +1
In this paper, we introduce a method for segmenting time series data using tools from Bayesian nonparametrics. We consider the task of temporal segmentation of a set of time series…