5 citations · 7 across the 7 of their papers we have counts for
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cs.LG2023★ 1 cited
Mixture of Coupled HMMs for Robust Modeling of Multivariate Healthcare Time Series
Onur Poyraz, Pekka Marttinen
Analysis of multivariate healthcare time series data is inherently challenging: irregular sampling, noisy and missing values, and heterogeneous patient groups with different dynami…
cs.LG2023
Identifiable causal inference with noisy treatment and no side information
Antti Pöllänen, Pekka Marttinen
In some causal inference scenarios, the treatment variable is measured inaccurately, for instance in epidemiology or econometrics. Failure to correct for the effect of this measure…
cs.LG2021★ 5 cited
A Critical Look at the Consistency of Causal Estimation With Deep Latent Variable Models
Severi Rissanen, Pekka Marttinen
Using deep latent variable models in causal inference has attracted considerable interest recently, but an essential open question is their ability to yield consistent causal estim…