Localized Radial Roll Patterns in Higher Space Dimensions. - Jason J. Bramburger; Dylan Altschuler; Chloe I. Avery; Tharathep Sangsawang; Margaret Beck; Paul Carter; Björn Sandstede (SIAM J. Appl. Dyn. Syst., 2019)

Sparse Identification of Slow Timescale Dynamics. - Jason J. Bramburger; Daniel Dylewsky; J. Nathan Kutz (CoRR, 2020)

Spatially Localized Structures in Lattice Dynamical Systems. - Jason J. Bramburger; Björn Sandstede (J. Nonlinear Sci., 2020)

Data-Driven Stabilization of Periodic Orbits. - Jason J. Bramburger; J. Nathan Kutz; Steven L. Brunton (IEEE Access, 2021)

Exact minimum speed of traveling waves in a Keller-Segel model. - Jason J. Bramburger (Appl. Math. Lett., 2021)

Deep Learning of Conjugate Mappings. - Jason J. Bramburger; Steven L. Brunton; J. Nathan Kutz (CoRR, 2021)

The Experimental Multi-Arm Pendulum on a Cart: A Benchmark System for Chaos, Learning, and Control. - Kadierdan Kaheman; Urban Fasel; Jason J. Bramburger; Benjamin Strom; J. Nathan Kutz; Steven L. Brunton (CoRR, 2022)

Auxiliary Functions as Koopman Observables: Data-Driven Polynomial Optimization for Dynamical Systems. - Jason J. Bramburger; Giovanni Fantuzzi (CoRR, 2023)

Transferability of Graph Neural Networks using Graphon and Sampling Theories. - A. Martina Neuman; Jason J. Bramburger (CoRR, 2023)

Convex Relaxations of Integral Variational Problems: Pointwise Dual Relaxation and Sum-of-Squares Optimization. - Alexander Chernyavsky; Jason J. Bramburger; Giovanni Fantuzzi; David Goluskin (SIAM J. Optim., 2023)

Synthesizing Control Laws from Data using Sum-of-Squares Optimization. - Jason J. Bramburger; Steven Dahdah; James Richard Forbes (CCTA, 2024)

Auxiliary Functions as Koopman Observables: Data-Driven Analysis of Dynamical Systems via Polynomial Optimization. - Jason J. Bramburger; Giovanni Fantuzzi (J. Nonlinear Sci., 2024)

Reconstruction of frequency-localized functions from pointwise samples via least squares and deep learning. - A. Martina Neuman; Andres Felipe Lerma Pineda; Jason J. Bramburger; Simone Brugiapaglia (CoRR, 2025)

Real-time motion detection using dynamic mode decomposition. - Marco Mignacca; Simone Brugiapaglia; Jason J. Bramburger (EURASIP J. Image Video Process., 2025)