3 papers
math.DS2026
Spatially-Coupled Network RNA Velocities: A Control-Theoretic Perspective
Boya Hou, Maxim Raginsky, Abhishek Pandey +1
RNA velocity is an important model that combines cellular spliced and unspliced RNA counts to infer dynamical properties of various regulatory functions. Despite its wide applicabi…
math.OC2024
Revisiting Stochastic Realization Theory using Functional Itô Calculus
Tanya Veeravalli, Maxim Raginsky
This paper considers the problem of constructing finite-dimensional state space realizations for stochastic processes that can be represented as the outputs of a certain type of a…
cs.CL2024
Transformer-Based Models Are Not Yet Perfect At Learning to Emulate Structural Recursion
Dylan Zhang, Curt Tigges, Zory Zhang +3
This paper investigates the ability of transformer-based models to learn structural recursion from examples. Recursion is a universal concept in both natural and formal languages.…