3 accepted papers
The Cosmic Microwave Background (CMB) radiation is a pillar of modern cosmology that gives rise to a better understanding of the fundamental parameters of the universe. While the astrophysics community has developed computational methods to extract this signal from data, these methods have limited s…
Tractable probabilistic models (TPMs) have attracted substantial research interest in recent years, particularly because of their ability to answer various reasoning queries in polynomial time. In this study, we focus on the distributionally robust learning of continuous TPMs and address the challen…
Temporal models such as Dynamic Bayesian Networks (DBNs) and Hidden Markov Models (HMMs) have been widely used to model time-dependent sequential data. Typically, these approaches limit focus to discrete domains, employ first-order Markov and stationary assumptions, and limit representational power…