Differentiable Filtering for Learning Hidden Markov Models
arXiv:2511.10571v2 Announce Type: replace
Abstract: Hidden Markov Models (HMMs) are fundamental for modeling sequential data, yet learning their parameters from observations remains challenging. Classical methods like the Baum-Welch algorithm are comp…