Georg A. Gottwald

26 papers B 1Journal 25

Year	Rank	Type	Title / 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