6 citations · 6 across the 4 of their papers we have counts for
5 papers
Transition Path Sampling Using Koopman Operators and Exit-Time Optimal Control
Boya Hou, Shane Wang, Siddharth Ambekar +2
Sampling transitions between metastable states is a central problem in dynamical systems theory and molecular dynamics in particular. A key challenge is the existence of high free-…
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…
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…
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.…
Generalization Bounds: Perspectives from Information Theory and PAC-Bayes
Fredrik Hellström, Giuseppe Durisi, Benjamin Guedj +1
A fundamental question in theoretical machine learning is generalization. Over the past decades, the PAC-Bayesian approach has been established as a flexible framework to address t…