2 papers
q-bio.BM2025
A cautious user's guide in applying HMMs to physical systems
Max Schweiger, Ayush Saurabh, Steve Pressé
Nature, as far as we know, evolves continuously through space and time. Yet the ubiquitous hidden Markov model (HMM)--originally developed for discrete time and space analysis in n…
stat.ML2025
Avoiding subtraction and division of stochastic signals using normalizing flows: NFdeconvolve
Pedro Pessoa, Max Schweiger, Lance W. Q. Xu +4
Across the scientific realm, we find ourselves subtracting or dividing stochastic signals. For instance, consider a stochastic realization, , generated from the addition or mult…