Martin Stoll

Orcid: 0000-0003-0951-4756

According to our database1, Martin Stoll authored at least 73 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Adaptive Rational Krylov Methods for Exponential Runge-Kutta Integrators.
SIAM J. Matrix Anal. Appl., March, 2024

A splitting-based KPIK method for eddy current optimal control problems in an all-at-once approach.
CoRR, 2024

2023
Efficient Structure-preserving Support Tensor Train Machine.
J. Mach. Learn. Res., 2023

A Preconditioned Interior Point Method for Support Vector Machines Using an ANOVA-Decomposition and NFFT-Based Matrix-Vector Products.
CoRR, 2023

A nonlinear spectral core-periphery detection method for multiplex networks.
CoRR, 2023

Rethinking Integration of Prediction and Planning in Deep Learning-Based Automated Driving Systems: A Review.
CoRR, 2023

Uncertainty Propagation of Initial Conditions in Thermal Models.
CoRR, 2023

Stay on Track: A Frenet Wrapper to Overcome Off-road Trajectories in Vehicle Motion Prediction.
CoRR, 2023

Scaling Planning for Automated Driving using Simplistic Synthetic Data.
CoRR, 2023

A weighted subspace exponential kernel for support tensor machines.
CoRR, 2023

An improved penalty algorithm using model order reduction for MIPDECO problems with partial observations.
Comput. Optim. Appl., 2023

From Prediction to Planning With Goal Conditioned Lane Graph Traversals.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

2022
Gibbs-Helmholtz Graph Neural Network: capturing the temperature dependency of activity coefficients at infinite dilution.
CoRR, 2022

A comparison of PINN approaches for drift-diffusion equations on metric graphs.
CoRR, 2022

Preconditioning for a Phase-Field Model with Application to Morphology Evolution in Organic Semiconductors.
CoRR, 2022

Improved penalty algorithm for mixed integer PDE constrained optimization problems.
Comput. Math. Appl., 2022

Accelerating Kernel Ridge Regression with Conjugate Gradient Method for large-scale data using FPGA High-level Synthesis.
Proceedings of the IEEE/ACM International Workshop on Heterogeneous High-performance Reconfigurable Computing, 2022

2021
Semi-supervised Learning for Aggregated Multilayer Graphs Using Diffuse Interface Methods and Fast Matrix-Vector Products.
SIAM J. Math. Data Sci., 2021

A Low-Rank Matrix Equation Method for Solving PDE-Constrained Optimization Problems.
SIAM J. Sci. Comput., 2021

Editorial: Mathematical Fundamentals of Machine Learning.
Frontiers Appl. Math. Stat., 2021

An Empirical Study of Graph-Based Approaches for Semi-supervised Time Series Classification.
Frontiers Appl. Math. Stat., 2021

Pseudoinverse graph convolutional networks.
Data Min. Knowl. Discov., 2021

Learning in High-Dimensional Feature Spaces Using ANOVA-Based Fast Matrix-Vector Multiplication.
CoRR, 2021

RaWaNet: Enriching Graph Neural Network Input via Random Walks on Graphs.
CoRR, 2021

A low-rank tensor method to reconstruct sparse initial states for PDEs with Isogeometric Analysis.
CoRR, 2021

Matrix function-based centrality measures for layer-coupled multiplex networks.
CoRR, 2021

A Study of Graph-Based Approaches for Semi-Supervised Time Series Classification.
CoRR, 2021

Orientations and matrix function-based centralities in multiplex network analysis of urban public transport.
Appl. Netw. Sci., 2021

2020
A Low-Rank Tensor Method for PDE-Constrained Optimization with Isogeometric Analysis.
SIAM J. Sci. Comput., 2020

Interior-point methods and preconditioning for PDE-constrained optimization problems involving sparsity terms.
Numer. Linear Algebra Appl., 2020

Efficient numerical methods for gas network modeling and simulation.
Networks Heterog. Media, 2020

Pseudoinverse Graph Convolutional Networks: Fast Filters Tailored for Large Eigengaps of Dense Graphs and Hypergraphs.
CoRR, 2020

Semi-supervised Learning for Multilayer Graphs Using Diffuse Interface Methods and Fast Matrix Vector Products.
CoRR, 2020

2019
A literature survey of matrix methods for data science.
CoRR, 2019

Solving differential Riccati equations: A nonlinear space-time method using tensor trains.
CoRR, 2019

Optimization of a partial differential equation on a complex network.
CoRR, 2019

Improved Penalty Algorithm for Mixed Integer PDE Constrained Optimization (MIPDECO) Problems.
CoRR, 2019

Semi-Supervised Classification on Non-Sparse Graphs Using Low-Rank Graph Convolutional Networks.
CoRR, 2019

A Low-Rank Inexact Newton-Krylov Method for Stochastic Eigenvalue Problems.
Comput. Methods Appl. Math., 2019

Fast iterative solvers for an optimal transport problem.
Adv. Comput. Math., 2019

Node Classification for Signed Social Networks Using Diffuse Interface Methods.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

2018
Generalizing Diffuse Interface Methods on Graphs: Nonsmooth Potentials and Hypergraphs.
SIAM J. Appl. Math., 2018

Low-Rank Eigenvector Compression of Posterior Covariance Matrices for Linear Gaussian Inverse Problems.
SIAM/ASA J. Uncertain. Quantification, 2018

NFFT Meets Krylov Methods: Fast Matrix-Vector Products for the Graph Laplacian of Fully Connected Networks.
Frontiers Appl. Math. Stat., 2018

Node classification for signed networks using diffuse interface methods.
CoRR, 2018

Localized radial basis functions-based pseudo-spectral method (LRBF-PSM) for nonlocal diffusion problems.
Comput. Math. Appl., 2018

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., 2018

2017
Low-Rank Solution to an Optimization Problem Constrained by the Navier-Stokes Equations.
SIAM J. Sci. Comput., 2017

Preconditioning PDE-constrained optimization with L1-sparsity and control constraints.
Comput. Math. Appl., 2017

2016
Block-Diagonal Preconditioning for Optimal Control Problems Constrained by PDEs with Uncertain Inputs.
SIAM J. Matrix Anal. Appl., 2016

Fast solvers for optimal control problems from pattern formation.
J. Comput. Phys., 2016

Fast tensor product solvers for optimization problems with fractional differential equations as constraints.
Appl. Math. Comput., 2016

2015
A Low-Rank in Time Approach to PDE-Constrained Optimization.
SIAM J. Sci. Comput., 2015

Preconditioning for Vector-Valued Cahn-Hilliard Equations.
SIAM J. Sci. Comput., 2015

A Fractional Inpainting Model Based on the Vector-Valued Cahn-Hilliard Equation.
SIAM J. Imaging Sci., 2015

Low-Rank Solution of Unsteady Diffusion Equations with Stochastic Coefficients.
SIAM/ASA J. Uncertain. Quantification, 2015

Domain decomposition in time for PDE-constrained optimization.
Comput. Phys. Commun., 2015

A discontinuous Galerkin method for optimal control problems governed by a system of convection-diffusion PDEs with nonlinear reaction terms.
Comput. Math. Appl., 2015

2014
Fast Solvers for Cahn-Hilliard Inpainting.
SIAM J. Imaging Sci., 2014

Preconditioners for state-constrained optimal control problems with Moreau-Yosida penalty function.
Numer. Linear Algebra Appl., 2014

Fast solution of Cahn-Hilliard variational inequalities using implicit time discretization and finite elements.
J. Comput. Phys., 2014

2013
Fast Iterative Solution of Reaction-Diffusion Control Problems Arising from Chemical Processes.
SIAM J. Sci. Comput., 2013

Efficient Solution of Large-Scale Saddle Point Systems Arising in Riccati-Based Boundary Feedback Stabilization of Incompressible Stokes Flow.
SIAM J. Sci. Comput., 2013

All-at-once solution of time-dependent Stokes control.
J. Comput. Phys., 2013

Discontinuous Galerkin finite element methods with shock-capturing for nonlinear convection dominated models.
Comput. Chem. Eng., 2013

Efficient Solvers for Large-Scale Saddle Point Systems Arising in Feedback Stabilization of Multi-field Flow Problems.
Proceedings of the System Modeling and Optimization, 2013

2012
Regularization-Robust Preconditioners for Time-Dependent PDE-Constrained Optimization Problems.
SIAM J. Matrix Anal. Appl., 2012

Preconditioning for partial differential equation constrained optimization with control constraints.
Numer. Linear Algebra Appl., 2012

Preconditioning for Allen-Cahn variational inequalities with non-local constraints.
J. Comput. Phys., 2012

2010
Preconditioning Saddle-Point Systems with Applications in Optimization.
SIAM J. Sci. Comput., 2010

Block-triangular preconditioners for PDE-constrained optimization.
Numer. Linear Algebra Appl., 2010

All-at-once preconditioning in PDE-constrained optimization.
Kybernetika, 2010

2008
Combination Preconditioning and the Bramble-Pasciak<sup>+</sup> Preconditioner.
SIAM J. Matrix Anal. Appl., 2008


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