3 papers
q-bio.QM2024
Moment-based parameter inference with error guarantees for stochastic reaction networks
Zekai Li, Mauricio Barahona, Philipp Thomas
Inferring parameters of models of biochemical kinetics from single-cell data remains challenging because of the uncertainty arising from the intractability of the likelihood functi…
cs.LG2024
Hyperspectral unmixing for Raman spectroscopy via physics-constrained autoencoders
Dimitar Georgiev, Álvaro Fernández-Galiana, Simon Vilms Pedersen +4
Raman spectroscopy is widely used across scientific domains to characterize the chemical composition of samples in a non-destructive, label-free manner. Many applications entail th…
stat.ME2023
Kernel-based independence tests for causal structure learning on functional data
Felix Laumann, Julius von Kügelgen, Junhyung Park +2
Measurements of systems taken along a continuous functional dimension, such as time or space, are ubiquitous in many fields, from the physical and biological sciences to economics…