Martin Stoll - RankMe

105 papers A* 1A 1C 1Journal 97Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Modeling and Simulation of Device Performance in Organic Photovoltaics. CoRR Pelin Çiloglu, Carmen Tretmans, Carsten Deibel, Roderick C. I. MacKenzie, Roland Herzog, Jan-Frederik Pietschmann, Martin Stoll
2025	J	`jnl`	A Low-Rank tensor framework for THB-Splines. CoRR Tom-Christian Riemer, Martin Stoll
2025	J	`jnl`	A splitting-based KPIK method for eddy current optimal control problems in an all-at-once approach. Comput. Math. Appl. Min-Li Zeng, Martin Stoll
2025	J	`jnl`	Efficient training of Gaussian processes with tensor product structure. Comput. Optim. Appl. Josie König, Max Pfeffer, Martin Stoll
2025	J	`jnl`	Fast and Simple Multiclass Data Segmentation: An Eigendecomposition and Projection-Free Approach. CoRR Chiara Faccio, Margherita Porcelli, Francesco Rinaldi, Martin Stoll
2025	J	`jnl`	IETI-Based Low-Rank Method for PDE-Constrained Optimization. SIAM J. Sci. Comput. Tom-Christian Riemer, Alexandra Bünger, Martin Stoll
2025	J	`jnl`	Iterative solvers for partial differential equations with dissipative structure: Operator preconditioning and optimal control. CoRR Volker Mehrmann, Manuel Schaller, Martin Stoll
2025	—	`conf`	KEEP: Integrating Medical Ontologies with Clinical Data for Robust Code Embeddings. CHIL Ahmed Elhussein, Paul Meddeb, Abigail Newbury, Jeanne Mirone, Martin Stoll, Gamze Gürsoy
2025	J	`jnl`	KEEP: Integrating Medical Ontologies with Clinical Data for Robust Code Embeddings. CoRR Ahmed Elhussein, Paul Meddeb, Abigail Newbury, Jeanne Mirone, Martin Stoll, Gamze Gürsoy
2025	J	`jnl`	Low-rank computation of the posterior mean in Multi-Output Gaussian Processes. CoRR Sebastian Esche, Martin Stoll
2025	J	`jnl`	Machine learning in chemical-mechanical planarization: A comprehensive review of trends, applications, and challenges. Adv. Eng. Informatics Georg Winkler, Tom Rothe, Mudassir Ali Sayyed, Linda Jäckel, Jan Langer, Harald Kuhn, Martin Stoll
2025	A*	`conf`	Physics-Informed DeepONets for drift-diffusion on metric graphs: simulation and parameter identification. ICML Jan Blechschmidt, Tom-Christian Riemer, Max Winkler, Martin Stoll, Jan-Frederik Pietschmann
2025	J	`jnl`	Physics-Informed DeepONets for drift-diffusion on metric graphs: simulation and parameter identification. CoRR Jan Blechschmidt, Tom-Christian Riemer, Max Winkler, Martin Stoll, Jan-Frederik Pietschmann
2025	J	`jnl`	Preconditioned Additive Gaussian Processes with Fourier Acceleration. CoRR Theresa Wagner, Tianshi Xu, Franziska Nestler, Yuanzhe Xi, Martin Stoll
2025	J	`jnl`	Preconditioning for a Cahn-Hilliard-Navier-Stokes model for morphology formation in organic solar cells. CoRR Pelin Çiloglu, Carmen Tretmans, Roland Herzog, Jan-Frederik Pietschmann, Martin Stoll
2025	J	`jnl`	Preconditioning for a Cahn-Hilliard-Navier-Stokes model for morphology formation in organic solar cells. J. Comput. Phys. Pelin Çiloglu, Carmen Tretmans, Roland Herzog, Jan-Frederik Pietschmann, Martin Stoll
2025	J	`jnl`	Real-Time Interfacial Pressure Prediction in CMP Using Machine Learning Surrogates of Finite Element Simulations. Int. J. Autom. Technol. Tom Rothe, Andre Lauff, Alexey Shaporin, Peter Thieme, Mudassir Ali Sayyed, Knut Gottfried, Jörg Schuster, Jan Langer, Linda Jäckel, Martin Stoll, Harald Kuhn
2025	J	`jnl`	The Integration of Prediction and Planning in Deep Learning Automated Driving Systems: A Review. IEEE Trans. Intell. Veh. Steffen Hagedorn, Marcel Hallgarten, Martin Stoll, Alexandru Paul Condurache
2024	J	`jnl`	A splitting-based KPIK method for eddy current optimal control problems in an all-at-once approach. CoRR Min-Li Zeng, Martin Stoll
2024	J	`jnl`	Adaptive Rational Krylov Methods for Exponential Runge-Kutta Integrators. SIAM J. Matrix Anal. Appl. Kai Bergermann, Martin Stoll
2024	A	`conf`	Can Vehicle Motion Planning Generalize to Realistic Long-tail Scenarios? IROS Marcel Hallgarten, Julián Zapata, Martin Stoll, Katrin Renz, Andreas Zell
2024	J	`jnl`	Can Vehicle Motion Planning Generalize to Realistic Long-tail Scenarios? CoRR Marcel Hallgarten, Julián Zapata, Martin Stoll, Katrin Renz, Andreas Zell
2024	J	`jnl`	Fast Evaluation of Additive Kernels: Feature Arrangement, Fourier Methods, and Kernel Derivatives. CoRR Theresa Wagner, Franziska Nestler, Martin Stoll
2024	J	`jnl`	Gradient flow-based modularity maximization for community detection in multiplex networks. CoRR Kai Bergermann, Martin Stoll
2024	J	`jnl`	IETI-based Low-Rank method for PDE-constrained optimization. CoRR Alexandra Bünger, Tom-Christian Riemer, Martin Stoll
2024	J	`jnl`	Second-Order Partial Outer Convexification for Switched Dynamical Systems. IEEE Trans. Autom. Control. Christoph Plate, Sebastian Sager, Martin Stoll, Manuel Tetschke
2024	C	`conf`	Stay on Track: A Frenet Wrapper to Overcome Off-road Trajectories in Vehicle Motion Prediction. IV Marcel Hallgarten, Ismail Kisa, Martin Stoll, Andreas Zell
2023	J	`jnl`	A Preconditioned Interior Point Method for Support Vector Machines Using an ANOVA-Decomposition and NFFT-Based Matrix-Vector Products. CoRR Theresa Wagner, John W. Pearson, Martin Stoll
2023	J	`jnl`	A nonlinear spectral core-periphery detection method for multiplex networks. CoRR Kai Bergermann, Martin Stoll, Francesco Tudisco
2023	J	`jnl`	A weighted subspace exponential kernel for support tensor machines. CoRR Kirandeep Kour, Sergey Dolgov, Peter Benner, Martin Stoll, Max Pfeffer
2023	J	`jnl`	Adaptive rational Krylov methods for exponential Runge-Kutta integrators. CoRR Kai Bergermann, Martin Stoll
2023	J	`jnl`	An improved penalty algorithm using model order reduction for MIPDECO problems with partial observations. Comput. Optim. Appl. Dominik Garmatter, Margherita Porcelli, Francesco Rinaldi, Martin Stoll
2023	J	`jnl`	Efficient Structure-preserving Support Tensor Train Machine. J. Mach. Learn. Res. Kirandeep Kour, Sergey Dolgov, Martin Stoll, Peter Benner
2023	—	`conf`	From Prediction to Planning With Goal Conditioned Lane Graph Traversals. ITSC Marcel Hallgarten, Martin Stoll, Andreas Zell
2023	J	`jnl`	From Prediction to Planning With Goal Conditioned Lane Graph Traversals. CoRR Marcel Hallgarten, Martin Stoll, Andreas Zell
2023	J	`jnl`	Rethinking Integration of Prediction and Planning in Deep Learning-Based Automated Driving Systems: A Review. CoRR Steffen Hagedorn, Marcel Hallgarten, Martin Stoll, Alexandru Condurache
2023	J	`jnl`	Scaling Planning for Automated Driving using Simplistic Synthetic Data. CoRR Martin Stoll, Markus Mazzola, Maxim Dolgov, Jürgen Mathes, Nicolas Möser
2023	J	`jnl`	Stay on Track: A Frenet Wrapper to Overcome Off-road Trajectories in Vehicle Motion Prediction. CoRR Marcel Hallgarten, Ismail Kisa, Martin Stoll, Andreas Zell
2023	J	`jnl`	Uncertainty Propagation of Initial Conditions in Thermal Models. CoRR Alexandra Bünger, Roland Herzog, Andreas Naumann, Martin Stoll
2022	J	`jnl`	A comparison of PINN approaches for drift-diffusion equations on metric graphs. CoRR Jan Blechschmidt, Jan-Frederik Pietschmann, Tom-Christian Riemer, Martin Stoll, Max Winkler
2022	—	`conf`	Accelerating Kernel Ridge Regression with Conjugate Gradient Method for large-scale data using FPGA High-level Synthesis. H2RC@SC Yousef Alnaser, Jan Langer, Martin Stoll
2022	J	`jnl`	Gibbs-Helmholtz Graph Neural Network: capturing the temperature dependency of activity coefficients at infinite dilution. CoRR Edgar Ivan Sanchez Medina, Steffen Linke, Martin Stoll, Kai Sundmacher
2022	J	`jnl`	Improved penalty algorithm for mixed integer PDE constrained optimization problems. Comput. Math. Appl. Dominik Garmatter, Margherita Porcelli, Francesco Rinaldi, Martin Stoll
2022	J	`jnl`	Preconditioning for a Phase-Field Model with Application to Morphology Evolution in Organic Semiconductors. CoRR Kai Bergermann, Carsten Deibel, Roland Herzog, Roderick C. I. MacKenzie, Jan-Frederik Pietschmann, Martin Stoll
2021	J	`jnl`	A Low-Rank Matrix Equation Method for Solving PDE-Constrained Optimization Problems. SIAM J. Sci. Comput. Alexandra Bünger, Valeria Simoncini, Martin Stoll
2021	J	`jnl`	A Study of Graph-Based Approaches for Semi-Supervised Time Series Classification. CoRR Dominik Alfke, Miriam Gondos, Lucile Peroche, Martin Stoll
2021	J	`jnl`	A low-rank tensor method to reconstruct sparse initial states for PDEs with Isogeometric Analysis. CoRR Alexandra Bünger, Martin Stoll
2021	J	`jnl`	An Empirical Study of Graph-Based Approaches for Semi-supervised Time Series Classification. Frontiers Appl. Math. Stat. Dominik Bünger, Miriam Gondos, Lucile Peroche, Martin Stoll
2021	J	`jnl`	An Improved Penalty Algorithm using Model Order Reduction for MIPDECO problems with partial observations. CoRR Dominik Garmatter, Margherita Porcelli, Francesco Rinaldi, Martin Stoll
2021	J	`jnl`	Editorial: Mathematical Fundamentals of Machine Learning. Frontiers Appl. Math. Stat. David Glickenstein, Keaton Hamm, Xiaoming Huo, Yajun Mei, Martin Stoll
2021	J	`jnl`	Learning in High-Dimensional Feature Spaces Using ANOVA-Based Fast Matrix-Vector Multiplication. CoRR Franziska Nestler, Martin Stoll, Theresa Wagner
2021	J	`jnl`	Matrix function-based centrality measures for layer-coupled multiplex networks. CoRR Kai Bergermann, Martin Stoll
2021	J	`jnl`	Orientations and matrix function-based centralities in multiplex network analysis of urban public transport. Appl. Netw. Sci. Kai Bergermann, Martin Stoll
2021	J	`jnl`	Orientations and matrix function-based centralities in multiplex network analysis of urban public transport. CoRR Kai Bergermann, Martin Stoll
2021	J	`jnl`	Pseudoinverse graph convolutional networks. Data Min. Knowl. Discov. Dominik Alfke, Martin Stoll
2021	J	`jnl`	RaWaNet: Enriching Graph Neural Network Input via Random Walks on Graphs. CoRR Anahita Iravanizad, Edgar Ivan Sanchez Medina, Martin Stoll
2021	J	`jnl`	Semi-supervised Learning for Aggregated Multilayer Graphs Using Diffuse Interface Methods and Fast Matrix-Vector Products. SIAM J. Math. Data Sci. Kai Bergermann, Martin Stoll, Toni Volkmer
2020	J	`jnl`	A Low-Rank Tensor Method for PDE-Constrained Optimization with Isogeometric Analysis. SIAM J. Sci. Comput. Alexandra Bünger, Sergey Dolgov, Martin Stoll
2020	J	`jnl`	A low-rank matrix equation method for solving PDE-constrained optimization problems. CoRR Alexandra Bünger, Valeria Simoncini, Martin Stoll
2020	J	`jnl`	Efficient Structure-preserving Support Tensor Train Machine. CoRR Kirandeep Kour, Sergey Dolgov, Martin Stoll, Peter Benner
2020	J	`jnl`	Efficient numerical methods for gas network modeling and simulation. Networks Heterog. Media Yue Qiu, Sara Grundel, Martin Stoll, Peter Benner
2020	J	`jnl`	Interior-point methods and preconditioning for PDE-constrained optimization problems involving sparsity terms. Numer. Linear Algebra Appl. John W. Pearson, Margherita Porcelli, Martin Stoll
2020	J	`jnl`	Pseudoinverse Graph Convolutional Networks: Fast Filters Tailored for Large Eigengaps of Dense Graphs and Hypergraphs. CoRR Dominik Alfke, Martin Stoll
2020	J	`jnl`	Semi-supervised Learning for Multilayer Graphs Using Diffuse Interface Methods and Fast Matrix Vector Products. CoRR Kai Bergermann, Martin Stoll, Toni Volkmer
2019	J	`jnl`	A Low-Rank Inexact Newton-Krylov Method for Stochastic Eigenvalue Problems. Comput. Methods Appl. Math. Peter Benner, Akwum Onwunta, Martin Stoll
2019	J	`jnl`	A literature survey of matrix methods for data science. CoRR Martin Stoll
2019	J	`jnl`	Fast iterative solvers for an optimal transport problem. Adv. Comput. Math. Roland Herzog, John W. Pearson, Martin Stoll
2019	J	`jnl`	Improved Penalty Algorithm for Mixed Integer PDE Constrained Optimization (MIPDECO) Problems. CoRR Dominik Garmatter, Margherita Porcelli, Francesco Rinaldi, Martin Stoll
2019	—	`conf`	Node Classification for Signed Social Networks Using Diffuse Interface Methods. ECML/PKDD (1) Pedro Mercado, Jessica Bosch, Martin Stoll
2019	J	`jnl`	Optimization of a partial differential equation on a complex network. CoRR Martin Stoll, Max Winkler
2019	J	`jnl`	Semi-Supervised Classification on Non-Sparse Graphs Using Low-Rank Graph Convolutional Networks. CoRR Dominik Alfke, Martin Stoll
2019	J	`jnl`	Solving differential Riccati equations: A nonlinear space-time method using tensor trains. CoRR Tobias Breiten, Sergey Dolgov, Martin Stoll
2018	J	`jnl`	Generalizing Diffuse Interface Methods on Graphs: Nonsmooth Potentials and Hypergraphs. SIAM J. Appl. Math. Jessica Bosch, Steffen Klamt, Martin Stoll
2018	J	`jnl`	Localized radial basis functions-based pseudo-spectral method (LRBF-PSM) for nonlocal diffusion problems. Comput. Math. Appl. Wei Zhao, Yiu-chung Hon, Martin Stoll
2018	J	`jnl`	Low-Rank Eigenvector Compression of Posterior Covariance Matrices for Linear Gaussian Inverse Problems. SIAM/ASA J. Uncertain. Quantification Peter Benner, Yue Qiu, Martin Stoll
2018	J	`jnl`	NFFT Meets Krylov Methods: Fast Matrix-Vector Products for the Graph Laplacian of Fully Connected Networks. Frontiers Appl. Math. Stat. Dominik Alfke, Daniel Potts, Martin Stoll, Toni Volkmer
2018	J	`jnl`	NFFT meets Krylov methods: Fast matrix-vector products for the graph Laplacian of fully connected networks. CoRR Dominik Alfke, Daniel Potts, Martin Stoll, Toni Volkmer
2018	J	`jnl`	Node classification for signed networks using diffuse interface methods. CoRR Jessica Bosch, Pedro Mercado, Martin Stoll
2018	J	`jnl`	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. Wei Zhao, Y. C. Hon, Martin Stoll
2017	J	`jnl`	Low-Rank Solution to an Optimization Problem Constrained by the Navier-Stokes Equations. SIAM J. Sci. Comput. Sergey Dolgov, Martin Stoll
2017	J	`jnl`	Preconditioning PDE-constrained optimization with L1-sparsity and control constraints. Comput. Math. Appl. Margherita Porcelli, Valeria Simoncini, Martin Stoll
2016	J	`jnl`	Block-Diagonal Preconditioning for Optimal Control Problems Constrained by PDEs with Uncertain Inputs. SIAM J. Matrix Anal. Appl. Peter Benner, Akwum Onwunta, Martin Stoll
2016	J	`jnl`	Fast solvers for optimal control problems from pattern formation. J. Comput. Phys. Martin Stoll, John W. Pearson, Philip K. Maini
2016	J	`jnl`	Fast tensor product solvers for optimization problems with fractional differential equations as constraints. Appl. Math. Comput. Sergey Dolgov, John W. Pearson, Dmitry V. Savostyanov, Martin Stoll
2015	J	`jnl`	A Fractional Inpainting Model Based on the Vector-Valued Cahn-Hilliard Equation. SIAM J. Imaging Sci. Jessica Bosch, Martin Stoll
2015	J	`jnl`	A Low-Rank in Time Approach to PDE-Constrained Optimization. SIAM J. Sci. Comput. Martin Stoll, Tobias Breiten
2015	J	`jnl`	A discontinuous Galerkin method for optimal control problems governed by a system of convection-diffusion PDEs with nonlinear reaction terms. Comput. Math. Appl. Hamdullah Yücel, Martin Stoll, Peter Benner
2015	J	`jnl`	Domain decomposition in time for PDE-constrained optimization. Comput. Phys. Commun. Andrew T. Barker, Martin Stoll
2015	J	`jnl`	Low-Rank Solution of Unsteady Diffusion Equations with Stochastic Coefficients. SIAM/ASA J. Uncertain. Quantification Peter Benner, Akwum Onwunta, Martin Stoll
2015	J	`jnl`	Preconditioning for Vector-Valued Cahn-Hilliard Equations. SIAM J. Sci. Comput. Jessica Bosch, Martin Stoll
2014	J	`jnl`	Fast Solvers for Cahn-Hilliard Inpainting. SIAM J. Imaging Sci. Jessica Bosch, David Kay, Martin Stoll, Andrew J. Wathen
2014	J	`jnl`	Fast solution of Cahn-Hilliard variational inequalities using implicit time discretization and finite elements. J. Comput. Phys. Jessica Bosch, Martin Stoll, Peter Benner
2014	J	`jnl`	Preconditioners for state-constrained optimal control problems with Moreau-Yosida penalty function. Numer. Linear Algebra Appl. John W. Pearson, Martin Stoll, Andrew J. Wathen
2013	J	`jnl`	All-at-once solution of time-dependent Stokes control. J. Comput. Phys. Martin Stoll, Andy J. Wathen
2013	J	`jnl`	Discontinuous Galerkin finite element methods with shock-capturing for nonlinear convection dominated models. Comput. Chem. Eng. Hamdullah Yücel, Martin Stoll, Peter Benner
2013	J	`jnl`	Efficient Solution of Large-Scale Saddle Point Systems Arising in Riccati-Based Boundary Feedback Stabilization of Incompressible Stokes Flow. SIAM J. Sci. Comput. Peter Benner, Jens Saak, Martin Stoll, Heiko K. Weichelt
2013	—	`conf`	Efficient Solvers for Large-Scale Saddle Point Systems Arising in Feedback Stabilization of Multi-field Flow Problems. System Modelling and Optimization Peter Benner, Jens Saak, Martin Stoll, Heiko K. Weichelt
2013	J	`jnl`	Fast Iterative Solution of Reaction-Diffusion Control Problems Arising from Chemical Processes. SIAM J. Sci. Comput. John W. Pearson, Martin Stoll
2012	J	`jnl`	Preconditioning for Allen-Cahn variational inequalities with non-local constraints. J. Comput. Phys. Luise Blank, Lavinia Sarbu, Martin Stoll
2012	J	`jnl`	Preconditioning for partial differential equation constrained optimization with control constraints. Numer. Linear Algebra Appl. Martin Stoll, Andy J. Wathen
2012	J	`jnl`	Regularization-Robust Preconditioners for Time-Dependent PDE-Constrained Optimization Problems. SIAM J. Matrix Anal. Appl. John W. Pearson, Martin Stoll, Andrew J. Wathen
2010	J	`jnl`	All-at-once preconditioning in PDE-constrained optimization. Kybernetika Tyrone Rees, Martin Stoll, Andy J. Wathen
2010	J	`jnl`	Block-triangular preconditioners for PDE-constrained optimization. Numer. Linear Algebra Appl. Tyrone Rees, Martin Stoll
2010	J	`jnl`	Preconditioning Saddle-Point Systems with Applications in Optimization. SIAM J. Sci. Comput. H. Sue Dollar, Nicholas I. M. Gould, Martin Stoll, Andrew J. Wathen
2008	J	`jnl`	Combination Preconditioning and the Bramble-Pasciak SIAM J. Matrix Anal. Appl. Martin Stoll, Andy J. Wathen