Martin Stoll

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 64

Top Topics

Ridge Regression

Constrained Optimization

Partial Observations

Top Venues

SIAM J. Sci. Comput.

Comput. Math. Appl.

Frontiers Appl. Math. Stat.

Publications

Marcel Hallgarten, Julián Zapata, Martin Stoll, Katrin Renz, Andreas Zell
Can Vehicle Motion Planning Generalize to Realistic Long-tail Scenarios? CoRR (2024)
Min-Li Zeng, Martin Stoll
A splitting-based KPIK method for eddy current optimal control problems in an all-at-once approach. CoRR (2024)
Theresa Wagner, Franziska Nestler, Martin Stoll
Fast Evaluation of Additive Kernels: Feature Arrangement, Fourier Methods, and Kernel Derivatives. CoRR (2024)
Marcel Hallgarten, Ismail Kisa, Martin Stoll, Andreas Zell
Stay on Track: A Frenet Wrapper to Overcome Off-road Trajectories in Vehicle Motion Prediction. IV (2024)
Christoph Plate, Sebastian Sager, Martin Stoll, Manuel Tetschke
Second-Order Partial Outer Convexification for Switched Dynamical Systems. IEEE Trans. Autom. Control. 69 (7) (2024)
Alexandra Bünger, Tom-Christian Riemer, Martin Stoll
IETI-based Low-Rank method for PDE-constrained optimization. CoRR (2024)
Kai Bergermann, Martin Stoll
Adaptive Rational Krylov Methods for Exponential Runge-Kutta Integrators. SIAM J. Matrix Anal. Appl. 45 (1) (2024)
Theresa Wagner, John W. Pearson, Martin Stoll
A Preconditioned Interior Point Method for Support Vector Machines Using an ANOVA-Decomposition and NFFT-Based Matrix-Vector Products. CoRR (2023)
Marcel Hallgarten, Ismail Kisa, Martin Stoll, Andreas Zell
Stay on Track: A Frenet Wrapper to Overcome Off-road Trajectories in Vehicle Motion Prediction. CoRR (2023)
Dominik Garmatter, Margherita Porcelli, Francesco Rinaldi, Martin Stoll
An improved penalty algorithm using model order reduction for MIPDECO problems with partial observations. Comput. Optim. Appl. 84 (1) (2023)
Steffen Hagedorn, Marcel Hallgarten, Martin Stoll, Alexandru Condurache
Rethinking Integration of Prediction and Planning in Deep Learning-Based Automated Driving Systems: A Review. CoRR (2023)
Kirandeep Kour, Sergey Dolgov, Peter Benner, Martin Stoll, Max Pfeffer
A weighted subspace exponential kernel for support tensor machines. CoRR (2023)
Marcel Hallgarten, Martin Stoll, Andreas Zell
From Prediction to Planning With Goal Conditioned Lane Graph Traversals. ITSC (2023)
Kirandeep Kour, Sergey Dolgov, Martin Stoll, Peter Benner
Efficient Structure-preserving Support Tensor Train Machine. J. Mach. Learn. Res. 24 (2023)
Alexandra Bünger, Roland Herzog, Andreas Naumann, Martin Stoll
Uncertainty Propagation of Initial Conditions in Thermal Models. CoRR (2023)
Kai Bergermann, Martin Stoll
Adaptive rational Krylov methods for exponential Runge-Kutta integrators. CoRR (2023)
Martin Stoll, Markus Mazzola, Maxim Dolgov, Jürgen Mathes, Nicolas Möser
Scaling Planning for Automated Driving using Simplistic Synthetic Data. CoRR (2023)
Kai Bergermann, Martin Stoll, Francesco Tudisco
A nonlinear spectral core-periphery detection method for multiplex networks. CoRR (2023)
Marcel Hallgarten, Martin Stoll, Andreas Zell
From Prediction to Planning With Goal Conditioned Lane Graph Traversals. CoRR (2023)
Edgar Ivan Sanchez Medina, Steffen Linke, Martin Stoll, Kai Sundmacher
Gibbs-Helmholtz Graph Neural Network: capturing the temperature dependency of activity coefficients at infinite dilution. CoRR (2022)
Dominik Garmatter, Margherita Porcelli, Francesco Rinaldi, Martin Stoll
Improved penalty algorithm for mixed integer PDE constrained optimization problems. Comput. Math. Appl. 116 (2022)
Kai Bergermann, Carsten Deibel, Roland Herzog, Roderick C. I. MacKenzie, Jan-Frederik Pietschmann, Martin Stoll
Preconditioning for a Phase-Field Model with Application to Morphology Evolution in Organic Semiconductors. CoRR (2022)
Jan Blechschmidt, Jan-Frederik Pietschmann, Tom-Christian Riemer, Martin Stoll, Max Winkler
A comparison of PINN approaches for drift-diffusion equations on metric graphs. CoRR (2022)
Yousef Alnaser, Jan Langer, Martin Stoll
Accelerating Kernel Ridge Regression with Conjugate Gradient Method for large-scale data using FPGA High-level Synthesis. H2RC@SC (2022)
Anahita Iravanizad, Edgar Ivan Sanchez Medina, Martin Stoll
RaWaNet: Enriching Graph Neural Network Input via Random Walks on Graphs. CoRR (2021)
David Glickenstein, Keaton Hamm, Xiaoming Huo, Yajun Mei, Martin Stoll
Editorial: Mathematical Fundamentals of Machine Learning. Frontiers Appl. Math. Stat. 7 (2021)
Kai Bergermann, Martin Stoll, Toni Volkmer
Semi-supervised Learning for Aggregated Multilayer Graphs Using Diffuse Interface Methods and Fast Matrix-Vector Products. SIAM J. Math. Data Sci. 3 (2) (2021)
Alexandra Bünger, Martin Stoll
A low-rank tensor method to reconstruct sparse initial states for PDEs with Isogeometric Analysis. CoRR (2021)
Dominik Alfke, Martin Stoll
Pseudoinverse graph convolutional networks. Data Min. Knowl. Discov. 35 (4) (2021)
Kai Bergermann, Martin Stoll
Matrix function-based centrality measures for layer-coupled multiplex networks. CoRR (2021)
Alexandra Bünger, Valeria Simoncini, Martin Stoll
A Low-Rank Matrix Equation Method for Solving PDE-Constrained Optimization Problems. SIAM J. Sci. Comput. 43 (5) (2021)
Dominik Garmatter, Margherita Porcelli, Francesco Rinaldi, Martin Stoll
An Improved Penalty Algorithm using Model Order Reduction for MIPDECO problems with partial observations. CoRR (2021)
Dominik Bünger, Miriam Gondos, Lucile Peroche, Martin Stoll
An Empirical Study of Graph-Based Approaches for Semi-supervised Time Series Classification. Frontiers Appl. Math. Stat. 7 (2021)
Dominik Alfke, Miriam Gondos, Lucile Peroche, Martin Stoll
A Study of Graph-Based Approaches for Semi-Supervised Time Series Classification. CoRR (2021)
Kai Bergermann, Martin Stoll
Orientations and matrix function-based centralities in multiplex network analysis of urban public transport. CoRR (2021)
Franziska Nestler, Martin Stoll, Theresa Wagner
Learning in High-Dimensional Feature Spaces Using ANOVA-Based Fast Matrix-Vector Multiplication. CoRR (2021)
Kai Bergermann, Martin Stoll
Orientations and matrix function-based centralities in multiplex network analysis of urban public transport. Appl. Netw. Sci. 6 (1) (2021)
Alexandra Bünger, Valeria Simoncini, Martin Stoll
A low-rank matrix equation method for solving PDE-constrained optimization problems. CoRR (2020)
Dominik Alfke, Martin Stoll
Pseudoinverse Graph Convolutional Networks: Fast Filters Tailored for Large Eigengaps of Dense Graphs and Hypergraphs. CoRR (2020)
Yue Qiu, Sara Grundel, Martin Stoll, Peter Benner
Efficient numerical methods for gas network modeling and simulation. Networks Heterog. Media 15 (4) (2020)
Kai Bergermann, Martin Stoll, Toni Volkmer
Semi-supervised Learning for Multilayer Graphs Using Diffuse Interface Methods and Fast Matrix Vector Products. CoRR (2020)
John W. Pearson, Margherita Porcelli, Martin Stoll
Interior-point methods and preconditioning for PDE-constrained optimization problems involving sparsity terms. Numer. Linear Algebra Appl. 27 (2) (2020)
Alexandra Bünger, Sergey Dolgov, Martin Stoll
A Low-Rank Tensor Method for PDE-Constrained Optimization with Isogeometric Analysis. SIAM J. Sci. Comput. 42 (1) (2020)
Kirandeep Kour, Sergey Dolgov, Martin Stoll, Peter Benner
Efficient Structure-preserving Support Tensor Train Machine. CoRR (2020)
Roland Herzog, John W. Pearson, Martin Stoll
Fast iterative solvers for an optimal transport problem. Adv. Comput. Math. 45 (2) (2019)
Martin Stoll, Max Winkler
Optimization of a partial differential equation on a complex network. CoRR (2019)
Martin Stoll
A literature survey of matrix methods for data science. CoRR (2019)
Tobias Breiten, Sergey Dolgov, Martin Stoll
Solving differential Riccati equations: A nonlinear space-time method using tensor trains. CoRR (2019)
Pedro Mercado, Jessica Bosch, Martin Stoll
Node Classification for Signed Social Networks Using Diffuse Interface Methods. ECML/PKDD (1) (2019)
Dominik Alfke, Martin Stoll
Semi-Supervised Classification on Non-Sparse Graphs Using Low-Rank Graph Convolutional Networks. CoRR (2019)
Dominik Garmatter, Margherita Porcelli, Francesco Rinaldi, Martin Stoll
Improved Penalty Algorithm for Mixed Integer PDE Constrained Optimization (MIPDECO) Problems. CoRR (2019)
Peter Benner, Akwum Onwunta, Martin Stoll
A Low-Rank Inexact Newton-Krylov Method for Stochastic Eigenvalue Problems. Comput. Methods Appl. Math. 19 (1) (2019)
Jessica Bosch, Steffen Klamt, Martin Stoll
Generalizing Diffuse Interface Methods on Graphs: Nonsmooth Potentials and Hypergraphs. SIAM J. Appl. Math. 78 (3) (2018)
Wei Zhao, Yiu-chung Hon, Martin Stoll
Localized radial basis functions-based pseudo-spectral method (LRBF-PSM) for nonlocal diffusion problems. Comput. Math. Appl. 75 (5) (2018)
Jessica Bosch, Pedro Mercado, Martin Stoll
Node classification for signed networks using diffuse interface methods. CoRR (2018)
Dominik Alfke, Daniel Potts, Martin Stoll, Toni Volkmer
NFFT meets Krylov methods: Fast matrix-vector products for the graph Laplacian of fully connected networks. CoRR (2018)
Dominik Alfke, Daniel Potts, Martin Stoll, Toni Volkmer
NFFT Meets Krylov Methods: Fast Matrix-Vector Products for the Graph Laplacian of Fully Connected Networks. Frontiers Appl. Math. Stat. 4 (2018)
Peter Benner, Yue Qiu, Martin Stoll
Low-Rank Eigenvector Compression of Posterior Covariance Matrices for Linear Gaussian Inverse Problems. SIAM/ASA J. Uncertain. Quantification 6 (2) (2018)
Wei Zhao, Y. C. Hon, Martin Stoll
Numerical simulations of nonlocal phase-field and hyperbolic nonlocal phase-field models via localized radial basis functions-based pseudo-spectral method (LRBF-PSM). Appl. Math. Comput. 337 (2018)
Sergey Dolgov, Martin Stoll
Low-Rank Solution to an Optimization Problem Constrained by the Navier-Stokes Equations. SIAM J. Sci. Comput. 39 (1) (2017)
Margherita Porcelli, Valeria Simoncini, Martin Stoll
Preconditioning PDE-constrained optimization with L1-sparsity and control constraints. Comput. Math. Appl. 74 (5) (2017)
Peter Benner, Akwum Onwunta, Martin Stoll
Block-Diagonal Preconditioning for Optimal Control Problems Constrained by PDEs with Uncertain Inputs. SIAM J. Matrix Anal. Appl. 37 (2) (2016)
Sergey Dolgov, John W. Pearson, Dmitry V. Savostyanov, Martin Stoll
Fast tensor product solvers for optimization problems with fractional differential equations as constraints. Appl. Math. Comput. 273 (2016)
Martin Stoll, John W. Pearson, Philip K. Maini
Fast solvers for optimal control problems from pattern formation. J. Comput. Phys. 304 (2016)
Jessica Bosch, Martin Stoll
Preconditioning for Vector-Valued Cahn-Hilliard Equations. SIAM J. Sci. Comput. 37 (5) (2015)
Hamdullah Yücel, Martin Stoll, Peter Benner
A discontinuous Galerkin method for optimal control problems governed by a system of convection-diffusion PDEs with nonlinear reaction terms. Comput. Math. Appl. 70 (10) (2015)
Jessica Bosch, Martin Stoll
A Fractional Inpainting Model Based on the Vector-Valued Cahn-Hilliard Equation. SIAM J. Imaging Sci. 8 (4) (2015)
Martin Stoll, Tobias Breiten
A Low-Rank in Time Approach to PDE-Constrained Optimization. SIAM J. Sci. Comput. 37 (1) (2015)
Peter Benner, Akwum Onwunta, Martin Stoll
Low-Rank Solution of Unsteady Diffusion Equations with Stochastic Coefficients. SIAM/ASA J. Uncertain. Quantification 3 (1) (2015)
Andrew T. Barker, Martin Stoll
Domain decomposition in time for PDE-constrained optimization. Comput. Phys. Commun. 197 (2015)
Jessica Bosch, Martin Stoll, Peter Benner
Fast solution of Cahn-Hilliard variational inequalities using implicit time discretization and finite elements. J. Comput. Phys. 262 (2014)
Jessica Bosch, David Kay, Martin Stoll, Andrew J. Wathen
Fast Solvers for Cahn-Hilliard Inpainting. SIAM J. Imaging Sci. 7 (1) (2014)
John W. Pearson, Martin Stoll, Andrew J. Wathen
Preconditioners for state-constrained optimal control problems with Moreau-Yosida penalty function. Numer. Linear Algebra Appl. 21 (1) (2014)
Hamdullah Yücel, Martin Stoll, Peter Benner
Discontinuous Galerkin finite element methods with shock-capturing for nonlinear convection dominated models. Comput. Chem. Eng. 58 (2013)
Peter Benner, Jens Saak, Martin Stoll, Heiko K. Weichelt
Efficient Solvers for Large-Scale Saddle Point Systems Arising in Feedback Stabilization of Multi-field Flow Problems. System Modelling and Optimization (2013)
John W. Pearson, Martin Stoll
Fast Iterative Solution of Reaction-Diffusion Control Problems Arising from Chemical Processes. SIAM J. Sci. Comput. 35 (5) (2013)
Martin Stoll, Andy J. Wathen
All-at-once solution of time-dependent Stokes control. J. Comput. Phys. 232 (1) (2013)
Peter Benner, Jens Saak, Martin Stoll, Heiko K. Weichelt
Efficient Solution of Large-Scale Saddle Point Systems Arising in Riccati-Based Boundary Feedback Stabilization of Incompressible Stokes Flow. SIAM J. Sci. Comput. 35 (5) (2013)
Luise Blank, Lavinia Sarbu, Martin Stoll
Preconditioning for Allen-Cahn variational inequalities with non-local constraints. J. Comput. Phys. 231 (16) (2012)
John W. Pearson, Martin Stoll, Andrew J. Wathen
Regularization-Robust Preconditioners for Time-Dependent PDE-Constrained Optimization Problems. SIAM J. Matrix Anal. Appl. 33 (4) (2012)
Martin Stoll, Andy J. Wathen
Preconditioning for partial differential equation constrained optimization with control constraints. Numer. Linear Algebra Appl. 19 (1) (2012)
Tyrone Rees, Martin Stoll
Block-triangular preconditioners for PDE-constrained optimization. Numer. Linear Algebra Appl. 17 (6) (2010)
H. Sue Dollar, Nicholas I. M. Gould, Martin Stoll, Andrew J. Wathen
Preconditioning Saddle-Point Systems with Applications in Optimization. SIAM J. Sci. Comput. 32 (1) (2010)
Tyrone Rees, Martin Stoll, Andy J. Wathen
All-at-once preconditioning in PDE-constrained optimization. Kybernetika 46 (2) (2010)
Martin Stoll, Andy J. Wathen
Preconditioner. SIAM J. Matrix Anal. Appl. 30 (2) (2008)