Spring 2025 (Current)
Spring 2025 (Current)
(2024) Computations of quantum eigenstates via deep neural networks
(2024) Equilibria of a time-inconsistent Markov decision processes
(2023) Deep Neural Networks
(2023) Infinitesimal Symmetries
(2023) Random Set Zero Forcing
(2022) Development of a novel car-following model using fractional differential equation
(2022) Distinct volume subsets
(2021) Application of sub-Riemannian geometry in optimal control theory
(2021) Finding the country- and age-specific optimal vaccination strategy
(2021) Matching theory and groups
(2021) Machine learning neural networks method solving partial differential equations
(2021) Dynamics of food chains with refuge and finite time extinction
(2020) Intro to optimization in deep learning: Gradient Descent
(2019) Spatial distributions of inertial particles advected by rough turbulent flows