Scott A. Sisson

Recurrent Dirichlet Belief Networks for Interpretable Dynamic Relational Data Modelling

2020 · arXiv (Cornell University)

The Dirichlet Belief Network~(DirBN) has been recently proposed as a promising approach in learning interpretable deep latent representations for objects. In this work, we leverage its interpretable modelling architecture and propose a deep dynamic probabilistic …

An Introduction to Quantum Computing for Statisticians and Data Scientists

2021 · arXiv (Cornell University)

Quantum computers promise to surpass the most powerful classical supercomputers when it comes to solving many critically important practical problems, such as pharmaceutical and fertilizer design, supply chain and traffic optimization, or optimization for machine …