Sebastian Götschel

28 papers Journal 26Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Correction to: Adaptive time step selection for spectral deferred correction. Numer. Algorithms Thomas Saupe, Sebastian Götschel, Thibaut Lunet, Daniel Ruprecht, Robert Speck
2025	J	`jnl`	Adaptive time step selection for spectral deferred correction. Numer. Algorithms Thomas Saupe, Sebastian Götschel, Thibaut Lunet, Daniel Ruprecht, Robert Speck
2025	J	`jnl`	Dynamic deep learning based super-resolution for the shallow water equations. Mach. Learn. Sci. Technol. Maximilian Witte, Fabricio Rodrigues Lapolli, Philip Freese, Sebastian Götschel, Daniel Ruprecht, Peter Korn, Christopher Kadow
2025	J	`jnl`	Enforcing boundary conditions for physics-informed neural operators. CoRR Niklas Göschel, Sebastian Götschel, Daniel Ruprecht
2025	J	`jnl`	Improving Efficiency of Parallel Across the Method Spectral Deferred Corrections. SIAM J. Sci. Comput. Gayatri Caklovic, Thibaut Lunet, Sebastian Götschel, Daniel Ruprecht
2025	—	`conf`	Space-Time Parallel Scaling of Parareal with a Physics-Informed Fourier Neural Operator Coarse Propagator Applied to the Black-Scholes Equation. PASC Abdul Qadir Ibrahim, Sebastian Götschel, Daniel Ruprecht
2024	J	`jnl`	Adaptive time step selection for Spectral Deferred Corrections. CoRR Thomas Baumann, Sebastian Götschel, Thibaut Lunet, Daniel Ruprecht, Robert Speck
2024	J	`jnl`	Bathymetry reconstruction from experimental data using PDE-constrained optimisation. CoRR Judith Angel, Jörn Behrens, Sebastian Götschel, Marten Hollm, Daniel Ruprecht, Robert Seifried
2024	J	`jnl`	Dynamic Deep Learning Based Super-Resolution For The Shallow Water Equations. CoRR Maximilian Witte, Fabricio Rodrigues Lapolli, Philip Freese, Sebastian Götschel, Daniel Ruprecht, Peter Korn, Christopher Kadow
2024	J	`jnl`	Improving Efficiency of Parallel Across the Method Spectral Deferred Corrections. CoRR Gayatri Caklovic, Thibaut Lunet, Sebastian Götschel, Daniel Ruprecht
2024	J	`jnl`	Parallel performance of shared memory parallel spectral deferred corrections. CoRR Philip Freese, Sebastian Götschel, Thibaut Lunet, Daniel Ruprecht, Martin Schreiber
2024	J	`jnl`	Resilience Against Soft Faults through Adaptivity in Spectral Deferred Correction. CoRR Thomas Baumann, Sebastian Götschel, Thibaut Lunet, Daniel Ruprecht, Robert Speck
2024	J	`jnl`	Space-time parallel scaling of Parareal with a Fourier Neural Operator as coarse propagator. CoRR Abdul Qadir Ibrahim, Sebastian Götschel, Daniel Ruprecht
2024	J	`jnl`	Spectral Deferred Correction Methods for Second-Order Problems. SIAM J. Sci. Comput. Ikrom Akramov, Sebastian Götschel, Michael L. Minion, Daniel Ruprecht, Robert Speck
2023	—	`conf`	Parareal with a Physics-Informed Neural Network as Coarse Propagator. Euro-Par Abdul Qadir Ibrahim, Sebastian Götschel, Daniel Ruprecht
2023	J	`jnl`	Parareal with a physics-informed neural network as coarse propagator. CoRR Abdul Qadir Ibrahim, Sebastian Götschel, Daniel Ruprecht
2023	J	`jnl`	Spectral deferred correction methods for second-order problems. CoRR Ikrom Akramov, Sebastian Götschel, Michael L. Minion, Daniel Ruprecht, Robert Speck
2022	J	`jnl`	Dynamic Contrast-Enhanced Ultrasound Modeling of an Analog to Pseudo-Diffusivity in Intravoxel Incoherent Motion Magnetic Resonance Imaging. IEEE Trans. Medical Imaging Dimitre Hristov, Lauri Mustonen, Rie von Eyben, Sebastian Götschel, Michael L. Minion, Ahmed El Kaffas
2021	J	`jnl`	Impact of spatial coarsening on Parareal convergence. CoRR Judith Angel, Sebastian Götschel, Daniel Ruprecht
2021	J	`jnl`	Kaskade 7 - A flexible finite element toolbox. Comput. Math. Appl. Sebastian Götschel, Anton Schiela, Martin Weiser
2021	J	`jnl`	Twelve Ways To Fool The Masses When Giving Parallel-In-Time Results. CoRR Sebastian Götschel, Michael L. Minion, Daniel Ruprecht, Robert Speck
2019	J	`jnl`	An Efficient Parallel-in-Time Method for Optimization with Parabolic PDEs. SIAM J. Sci. Comput. Sebastian Götschel, Michael L. Minion
2019	J	`jnl`	Compression Challenges in Large Scale Partial Differential Equation Solvers. Algorithms Sebastian Götschel, Martin Weiser
2019	J	`jnl`	Lossy Compression for Large Scale PDE Problems. CoRR Sebastian Götschel, Martin Weiser
2018	J	`jnl`	Lossy data compression reduces communication time in hybrid time-parallel integrators. Comput. Vis. Sci. Lisa Fischer, Sebastian Götschel, Martin Weiser
2015	J	`jnl`	Lossy compression for PDE-constrained optimization: adaptive error control. Comput. Optim. Appl. Sebastian Götschel, Martin Weiser
2014	J	`jnl`	Lossy Compression in Optimal Control of Cardiac Defibrillation. J. Sci. Comput. Sebastian Götschel, Chamakuri Nagaiah, Karl Kunisch, Martin Weiser
2012	J	`jnl`	State Trajectory Compression for Optimal Control with Parabolic PDEs. SIAM J. Sci. Comput. Martin Weiser, Sebastian Götschel