CM2025: 22ND COPPER MOUNTAIN CONFERENCE ON MULTIGRID METHODS

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Actor, Jonas	Multilevel Algorithms for Training Kolmogorov-Arnold Networks
Adler, James	Subspace Descent Method for Non-linear Problems Nonlinear methods for shape optimization problems in liquid crystal tactoids Comparisons between Anderson Acceleration and Momentum Acceleration Algorithms Error Estimates for the Arnoldi Approximation of a Matrix Square Root
Ali, Ahsan	Generalized Optimal AMG Convergence Theory for Stokes Equations Using Smooth Aggregation and Vanka Relaxation Strategies
Alsalti-Baldellou, Àdel	Aggressive coarsening for faster CFD simulations on GPU-accelerated supercomputers
Anderson, Steven	A Multi Scale Two Grid Strategy for Kinetic Modeling of Burning Plasmas
Andrei, Anca	Nonlinear methods for shape optimization problems in liquid crystal tactoids
Archibald, Rick	MGARD: Multigrid Framework for Compression of Scientific Data using Variable-Order Polynomial Predictors
Arrarás, Andrés	New space-time parallel algorithms combining multigrid-reduction-in-time and splitting techniques
Atherton, Timothy	Nonlinear methods for shape optimization problems in liquid crystal tactoids
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Bauer, Daniel	Multigrid with Linear Storage Complexity
Blondeel, Philippe	A multi-domain relaxation strategy with quasi-Monte Carlo for Mine Counter Measure Simulations
Blonigan, Patrick	Stable Parallel-in-Time Relaxation for Chaotic Systems
Bochev, Pavel	Decoupled solution methods for multiphysics problems based on dynamic interface flux surrogates
Boginski, Vladimir	Sparsification of Neural Networks Inspired by Optimal Strongly Attack Tolerant Network Configurations
Bolten, Matthias	Layer-Parallel Training with PyMGRIT for Deep Residual Neural Networks
Boon, Wietse M.	Parameter-robust Preconditioners for the Stokes-Darcy Coupled Problem without Fractional Operators
Brannick, James	Generalized Optimal AMG Convergence Theory for Stokes Equations Using Smooth Aggregation and Vanka Relaxation Strategies Nodal AMG Coarsening and Interpolation for PDE Systems
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Cai, Zhiqiang	Geometrically Informed Numerical Solver for 1D Neural Network Method Convergence Analysis for 1D Neural Network Method Block Gauss-Newton and Newton Methods for Non-Convex Optimization Problems Arising from ReLU Neural Network Approximations Fast solvers for shallow R{\scriptsize e}LU neural network approximations: the 2D case
Carlson, Kevin	Multigrid Methods for Structure Preserving Discretizations
Chacon, Luis	A Multi Scale Two Grid Strategy for Kinetic Modeling of Burning Plasmas
Chen, Zhangxin	Quantum Bayesian Optimisation of Reservoir Simulation Models
Christensen, Nicholas	A Parallel-in-time Approach Using the Normal Equations
Connors, Jeffrey	Decoupled solution methods for multiphysics problems based on dynamic interface flux surrogates
Cotter, Colin	One and two level parallel-in-time schemes for problems with time varying coefficients
Cyr, Eric	Stable Parallel-in-Time Relaxation for Chaotic Systems Preconditioned optimization in machine learning: a multilevel perspective Layer-Parallel Training with PyMGRIT for Deep Residual Neural Networks Multilevel Training of Transformers
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Di, Zichao	Multigrid-based Stochastic Minimization for Ptychographic Phase Retrieval
Ding, Tong	Fast solvers for shallow R{\scriptsize e}LU neural network approximations: the 2D case
Doktorova, Anastassia	Geometrically Informed Numerical Solver for 1D Neural Network Method Convergence Analysis for 1D Neural Network Method
Dorf, Mikhail	Multigrid preconditioning of implicit integration electromagnetic effects in the gyrokinetic code COGENT
Dorr, Milo	Multigrid preconditioning of implicit integration electromagnetic effects in the gyrokinetic code COGENT
Draganescu, Andrei	Efficient Multilevel Methods for Material Properties Inversion in Heat Transfer Problems
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Eliasof, Moshe	MULTISCALE TRAINING OF GRAPH NEURAL NETWORKS
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Fairbanks, Hillary	Accelerating Multi-Level Markov Chain Monte Carlo Methods Using Machine Learning Models and Dimensionality Reduction
Fairbanks, James	Multigrid Methods for Structure Preserving Discretizations
Falgout, Robert	Geometrically Informed Numerical Solver for 1D Neural Network Method Convergence Analysis for 1D Neural Network Method Nodal AMG Coarsening and Interpolation for PDE Systems Semi-Structured Algebraic Multigrid in hypre
Firmbach, Max	A new AMG Strength-of-connection measure that incorporates finite element mass matrices
Friedhoff, Stephanie	Layer-Parallel Training with PyMGRIT for Deep Residual Neural Networks
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Gal, Eshed	MULTISCALE TRAINING OF GRAPH NEURAL NETWORKS
Gaspar, Francisco J.	New space-time parallel algorithms combining multigrid-reduction-in-time and splitting techniques
Glusa, Christian	A new AMG Strength-of-connection measure that incorporates finite element mass matrices
Gong, Qian	MGARD: Multigrid Framework for Compression of Scientific Data using Variable-Order Polynomial Predictors
Greif, Chen	A Characterization of the Behavior of Nonlinear GMRES on Linear Systems
Guerra, Martin	Optimization and Analytical Approaches for Plasma Instability Control
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Haber, Eldad	Multiscale training for CNNs MULTISCALE TRAINING OF GRAPH NEURAL NETWORKS
Hammer, Hans	A Multi Scale Two Grid Strategy for Kinetic Modeling of Burning Plasmas
Harper, Graham	Multilevel Algorithms for Training Kolmogorov-Arnold Networks A matrix-free AMG method targeting large-scale GPU architectures
He, Yunhui	A Characterization of the Behavior of Nonlinear GMRES on Linear Systems
Herrera, Cesar	Geometrically Informed Numerical Solver for 1D Neural Network Method Convergence Analysis for 1D Neural Network Method
Hope-Collins, Josh	One and two level parallel-in-time schemes for problems with time varying coefficients
Hu, Xiaozhe	Parameter-robust Preconditioners for the Stokes-Darcy Coupled Problem without Fractional Operators Subspace Descent Method for Non-linear Problems Nonlinear methods for shape optimization problems in liquid crystal tactoids Comparisons between Anderson Acceleration and Momentum Acceleration Algorithms Error Estimates for the Arnoldi Approximation of a Matrix Square Root
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Janna, Carlo	Aggressive coarsening for faster CFD simulations on GPU-accelerated supercomputers
Jansson, Niclas	A matrix-free AMG method targeting large-scale GPU architectures
Jay, Laurent	Parallelism in time-integration with fully implicit Runge-Kutta methods
Jiang, Shuai	Multilevel Training of Transformers
Jimenez-Ciga, Iñigo	New space-time parallel algorithms combining multigrid-reduction-in-time and splitting techniques
Jordan, Kirk E.	Quantum Bayesian Optimisation of Reservoir Simulation Models
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Kahl, Karsten	Generalized Optimal AMG Convergence Theory for Stokes Equations Using Smooth Aggregation and Vanka Relaxation Strategies Nodal AMG Coarsening and Interpolation for PDE Systems
Keenan, Brett	A Multi Scale Two Grid Strategy for Kinetic Modeling of Burning Plasmas
Kirshtein, Arkadz	Mulltiscale variational sintering model with degenerate incompressibility
Klasky, Scott	MGARD: Multigrid Framework for Compression of Scientific Data using Variable-Order Polynomial Predictors
Kohl, Nils	Multigrid with Linear Storage Complexity
Kopanicakova, Alena	Multilevel Training of Transformers
Krokhmal, Pavlo	Machine Learning for Image Segmentation of Impact Damage in Composite Materials
Krzysik, Oliver	Generalized Optimal AMG Convergence Theory for Stokes Equations Using Smooth Aggregation and Vanka Relaxation Strategies Overlapping Schwarz methods are not anisotropy-robust multigrid smoothers
Kuberry, Paul	Decoupled solution methods for multiphysics problems based on dynamic interface flux surrogates
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Lauwens, Ben	A multi-domain relaxation strategy with quasi-Monte Carlo for Mine Counter Measure Simulations
Lefebvre, Satchel	Comparisons between Anderson Acceleration and Momentum Acceleration Algorithms
Li, Qin	Multigrid-based Stochastic Minimization for Ptychographic Phase Retrieval
Li, Qin	Optimization and Analytical Approaches for Plasma Instability Control
Liu, Min	Fast solvers for shallow R{\scriptsize e}LU neural network approximations: the 2D case
Liu, Xinyu	Fast solvers for shallow R{\scriptsize e}LU neural network approximations: the 2D case
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MacLachlan, Scott	Unstructured to structured: Geometric Multigrid on complex domains via Mesh Remapping
Maliutov, Artem	Aggressive coarsening for faster CFD simulations on GPU-accelerated supercomputers
Marin, Liviu	Efficient Multilevel Methods for Material Properties Inversion in Heat Transfer Problems
McCormick, Steve	Multigrid with Linear Storage Complexity
McMann, Donald	Sparsification of Neural Networks Inspired by Optimal Strongly Attack Tolerant Network Configurations
Mitchell, Wayne	Semi-Structured Algebraic Multigrid in hypre
Mjolsness, Eric	Graph Lineages and Skeletal Graph Products
Morris, Luke	Multigrid Methods for Structure Preserving Discretizations
Mouhssine, Abdellatif	A New Combination of Polynomial Extrapolation Methods and Multigrid Solvers For Isogeometric Analysis Applied To Linear and Nonlinear Problems
Moulton, David	Unstructured to structured: Geometric Multigrid on complex domains via Mesh Remapping
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Nakajima, Kengo	Effects of Process/Thread Allocation for Optimization of Communication-Computation Overlapping in Parallel Multigrid Methods
Nelson, Austen	Advancing Adaptive Algebraic Multigrid: Composite Preconditioners for Anisotropic Problems and Contact Elasticity
Nytko, Nicolas	Unstructured to structured: Geometric Multigrid on complex domains via Mesh Remapping
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Ohm, Peter	A matrix-free AMG method targeting large-scale GPU architectures
Olson, Luke	Unstructured to structured: Geometric Multigrid on complex domains via Mesh Remapping
Ong, Benjamin	Deferred Correction -- Multigrid Reduction in Time (MGRIT--DC)
Owen, Justin	Decoupled solution methods for multiphysics problems based on dynamic interface flux surrogates
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Paludetto Magri, Victor	Semi-Structured Algebraic Multigrid in hypre
Pan, Wenxiao	Error Estimates for the Arnoldi Approximation of a Matrix Square Root
Parish, Eric	A Parallel-in-time Approach Using the Normal Equations
Pasiliao, Eduardo	Sparsification of Neural Networks Inspired by Optimal Strongly Attack Tolerant Network Configurations
Pawar, Rishi	Decoupled solution methods for multiphysics problems based on dynamic interface flux surrogates
Philip, Bobby	Overlapping Schwarz methods are not anisotropy-robust multigrid smoothers
Phillips, Malachi	A new AMG Strength-of-connection measure that incorporates finite element mass matrices
Portero, Laura	New space-time parallel algorithms combining multigrid-reduction-in-time and splitting techniques
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Ratnani, Ahmed	A New Combination of Polynomial Extrapolation Methods and Multigrid Solvers For Isogeometric Analysis Applied To Linear and Nonlinear Problems
Rauta, George	Multigrid Methods for Structure Preserving Discretizations
Reddy, Sohail	Accelerating Multi-Level Markov Chain Monte Carlo Methods Using Machine Learning Models and Dimensionality Reduction
Reichelt, Benjamin	A Multi Scale Two Grid Strategy for Kinetic Modeling of Burning Plasmas
Reisner, Andrew	Unstructured to structured: Geometric Multigrid on complex domains via Mesh Remapping
Reshniak, Viktor	MGARD: Multigrid Framework for Compression of Scientific Data using Variable-Order Polynomial Predictors
Ricketson, Lee	Multigrid preconditioning of implicit integration electromagnetic effects in the gyrokinetic code COGENT
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Sadok, Hassane	A New Combination of Polynomial Extrapolation Methods and Multigrid Solvers For Isogeometric Analysis Applied To Linear and Nonlinear Problems
Sahani, Sontosh Kumar	Deferred Correction -- Multigrid Reduction in Time (MGRIT--DC)
Salvadó, Marc	Multilevel Training of Transformers
Samoil, Steven	Quantum Bayesian Optimisation of Reservoir Simulation Models
Schroder, Jacob	Generalized Optimal AMG Convergence Theory for Stokes Equations Using Smooth Aggregation and Vanka Relaxation Strategies Nodal AMG Coarsening and Interpolation for PDE Systems Layer-Parallel Training with PyMGRIT for Deep Residual Neural Networks Multilevel Training of Transformers
Scott, Cory	Graph Lineages and Skeletal Graph Products
Semenov, Alexander	Sparsification of Neural Networks Inspired by Optimal Strongly Attack Tolerant Network Configurations
Shen, Taoli	Nodal AMG Coarsening and Interpolation for PDE Systems
Sheranko, Alex	Efficient Multilevel Methods for Material Properties Inversion in Heat Transfer Problems
Simakov, Andrei	A Multi Scale Two Grid Strategy for Kinetic Modeling of Burning Plasmas
Southworth, Ben	Multiscale two-grid preconditioner for diffusion processes in heterogeneous and anisotropic media Generalized Optimal AMG Convergence Theory for Stokes Equations Using Smooth Aggregation and Vanka Relaxation Strategies Preconditioned optimization in machine learning: a multilevel perspective Overlapping Schwarz methods are not anisotropy-robust multigrid smoothers
Spies, Lukas	Using Genetic Programming and Continuation Methods to solve (Reynolds-Averaged) Navier-Stokes equations at high Reynolds numbers
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Taitano, William	A Multi Scale Two Grid Strategy for Kinetic Modeling of Burning Plasmas
Tamstorf, Rasmus	Multigrid with Linear Storage Complexity
Thomas, Stephen	Gauss-Seidel Iteration in s-Step CG Coarse Solvers for AMG
Treister, Eran	MULTISCALE TRAINING OF GRAPH NEURAL NETWORKS A block-acoustic preconditioner for the elastic Helmholtz equation
Tuminaro, Raymond	A new AMG Strength-of-connection measure that incorporates finite element mass matrices
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Van Utterbeeck, Filip	A multi-domain relaxation strategy with quasi-Monte Carlo for Mine Counter Measure Simulations
Vargas, David	Stable Parallel-in-Time Relaxation for Chaotic Systems
Vasilyeva, Maria	Multiscale two-grid preconditioner for diffusion processes in heterogeneous and anisotropic media
Vassilevski, Panayot	Advancing Adaptive Algebraic Multigrid: Composite Preconditioners for Anisotropic Problems and Contact Elasticity
Veremyev, Alexander	Sparsification of Neural Networks Inspired by Optimal Strongly Attack Tolerant Network Configurations
Voronin, Alexey	Generalized Optimal AMG Convergence Theory for Stokes Equations Using Smooth Aggregation and Vanka Relaxation Strategies
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Wang, Xue	Parameter-robust Preconditioners for the Stokes-Darcy Coupled Problem without Fractional Operators
West, Matthew	Unstructured to structured: Geometric Multigrid on complex domains via Mesh Remapping
Wittum, Gabriel	A fast and precise method to compute highly dynamic particulate flows
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Xia, Jianlin	Fast solvers for shallow R{\scriptsize e}LU neural network approximations: the 2D case
Xue, Zhongqin	Error Estimates for the Arnoldi Approximation of a Matrix Square Root
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Yang, Qingcheng	Mulltiscale variational sintering model with degenerate incompressibility
Yang, Ulrike	Semi-Structured Algebraic Multigrid in hypre
Yang, Zixiao	Subspace Descent Method for Non-linear Problems
Yoda, Ryo	Layer-Parallel Training with PyMGRIT for Deep Residual Neural Networks
Yovel, Rachel	A block-acoustic preconditioner for the elastic Helmholtz equation
Yue, Yukun	Optimization and Analytical Approaches for Plasma Instability Control
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Zepeda-Núñez, Leonardo	Optimization and Analytical Approaches for Plasma Instability Control
Zhang, Borong	Multigrid-based Stochastic Minimization for Ptychographic Phase Retrieval
Zhupanska, Olesya	Machine Learning for Image Segmentation of Impact Damage in Composite Materials

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