Georg A. Gottwald

26 papers B 1Journal 25
YearRankTypeTitle / Venue / Authors
2026 J jnl
Localized Schrödinger bridge sampler.
J. Comput. Phys.
Georg A. Gottwald, Sebastian Reich
2025 B conf
Dynamic Reservoir Computing with Physical Neuromorphic Networks.
IJCNN
Yinhao Xu, Georg A. Gottwald, Zdenka Kuncic
2025 J jnl
Dynamic Reservoir Computing with Physical Neuromorphic Networks.
CoRR
Yinhao Xu, Georg A. Gottwald, Zdenka Kuncic
2025 J jnl
Learning Chaotic Dynamics with Neuromorphic Network Dynamics.
CoRR
Yinhao Xu, Georg A. Gottwald, Zdenka Kuncic
2025 J jnl
Learning dynamical systems with hit-and-run random feature maps.
CoRR
Pinak Mandal, Georg A. Gottwald
2025 J jnl
Localized Diffusion Models for High Dimensional Distributions Generation.
CoRR
Georg A. Gottwald, Shuigen Liu, Youssef Marzouk, Sebastian Reich, Xin T. Tong
2025 J jnl
UNO: Unlearning via Orthogonalization in Generative models.
CoRR
Pinak Mandal, Georg A. Gottwald
2024 J jnl
Localized Schrödinger Bridge Sampler.
CoRR
Georg A. Gottwald, Sebastian Reich
2024 J jnl
On the choice of the non-trainable internal weights in random feature maps.
CoRR
Pinak Mandal, Georg A. Gottwald
2024 J jnl
Stable generative modeling using diffusion maps.
CoRR
Georg A. Gottwald, Fengyi Li, Youssef M. Marzouk, Sebastian Reich
2021 J jnl
Combining machine learning and data assimilation to forecast dynamical systems from noisy partial observations.
CoRR
Georg A. Gottwald, Sebastian Reich
2021 J jnl
Simulation of Non-Lipschitz Stochastic Differential Equations Driven by α-Stable Noise: A Method Based on Deterministic Homogenization.
Multiscale Model. Simul.
Georg A. Gottwald, Ian Melbourne
2020 J jnl
Simulation of non-Lipschitz stochastic differential equations driven by α-stable noise: a method based on deterministic homogenisation.
CoRR
Georg A. Gottwald, Ian Melbourne
2020 J jnl
Supervised learning from noisy observations: Combining machine-learning techniques with data assimilation.
CoRR
Georg A. Gottwald, Sebastian Reich
2019 J jnl
Stochastic Model Reduction for Slow-Fast Systems with Moderate Time Scale Separation.
Multiscale Model. Simul.
Jeroen Wouters, Georg A. Gottwald
2018 J jnl
A Note on Statistical Consistency of Numerical Integrators for Multiscale Dynamics.
Multiscale Model. Simul.
Jason Frank, Georg A. Gottwald
2017 J jnl
Optimal Balance via Adiabatic Invariance of Approximate Slow Manifolds.
Multiscale Model. Simul.
Georg A. Gottwald, Haidar Mohamad, Marcel Oliver
2015 J jnl
On convergence of higher order schemes for the projective integration method for stiff ordinary differential equations.
J. Comput. Appl. Math.
John Maclean, Georg A. Gottwald
2014 J jnl
A Computational Method to Extract Macroscopic Variables and Their Dynamics in Multiscale Systems.
SIAM J. Appl. Dyn. Syst.
Gary Froyland, Georg A. Gottwald, Andy Hammerlindl
2010 J jnl
The Large Core Limit of Spiral Waves in Excitable Media: A Numerical Approach.
SIAM J. Appl. Dyn. Syst.
Sebastian Hermann, Georg A. Gottwald
2009 J jnl
Boltzmann's Dilemma: An Introduction to Statistical Mechanics via the Kac Ring.
SIAM Rev.
Georg A. Gottwald, Marcel Oliver
2009 J jnl
On the Implementation of the 0-1 Test for Chaos.
SIAM J. Appl. Dyn. Syst.
Georg A. Gottwald, Ian Melbourne
2007 J jnl
Application of the 0-1 Test for Chaos to Experimental Data.
SIAM J. Appl. Dyn. Syst.
Ian Falconer, Georg A. Gottwald, Ian Melbourne, Kjetil Wormnes
2007 J jnl
High Lewis Number Combustion Wavefronts: A Perturbative Melnikov Analysis.
SIAM J. Appl. Math.
Sanjeeva Balasuriya, Georg A. Gottwald, John Hornibrook, Stéphane Lafortune
2007 J jnl
Long-Time Accuracy for Approximate Slow Manifolds in a Finite-Dimensional Model of Balance.
J. Nonlinear Sci.
Georg A. Gottwald, Marcel Oliver, Nicolae Tecu
2005 J jnl
A Robust Numerical Method to Study Oscillatory Instability of Gap Solitary Waves.
SIAM J. Appl. Dyn. Syst.
Gianne Derks, Georg A. Gottwald