Accepted Talks and Minisymposia
The list of talks is as of April 28 and more will be added to this list as submissions continue. "*" in front of the title indicates that the abstract has been submitted.
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Type  Name  Affiliation  Title 

Contributed Talk  Alexey Voronin  University of Illinois Urbana Champaign  *Practical Advances in HighOrder Stokes Solvers: Robust Multigrid Preconditioners with AMG Integration 
Contributed Talk  Yannis Voet  École Polytechnique Fédérale de Lausanne  *Preconditioning Techniques for Multiterm Generalized Sylvester Equations 
Contributed Talk  Alex Fedoseyev  Ultra Quantum Inc.  *Preconditioned IDR Solution Methods in Scientific and Industrial Applications 
Contributed Talk  Juan Calvo  University of Costa Rica  *Robust Domain Decomposition Methods for Highcontrast Multiscale Problems on Irregular Domains 
Contributed Talk  Mingdong He  University of Oxford  *Preconditioning for Topological Constraint Problem 
Contributed Talk  Shikhar Shah  Georgia Institute of Technology  *Preconditioning finite difference Hamiltonian matrices from density functional theory 
Contributed Talk  Edmond Chow  Georgia Institute of Technology  *Online machine learning for preconditioning a sequence of linear systems 
Contributed Talk  Hua Huang  Georgia Institute of Technology  *Approximate factorized Nystrom preconditioner for kernel matrices 
Contributed Talk  Talal Alshehri  Morgan State University  *Brain edema simulation by using domain decomposition methods 
Contributed Talk  Andrea Franceschini  University of Padova  *Nesting Approximate Inverses for Improved Preconditioning and Algebraic Multigrid Smoothing 
Contributed Talk  Rachel Yovel  BenGurion University of the Negev  *LFAtuned matrixfree multigrid for the elastic Helmholtz equation 
Contributed Talk  Yang Liu  Lawrence Berkeley National Laboratory  *Augmenting linear solvers in fusion codes with neural operators 
Contributed Talk  Daria Sushnikova  King Abdullah University of Science and Technology  *Multigrid method for hierarchical rank structured matrices 
Contributed Talk  Ning Zheng  Tongji University  Randomized Inner Iteration Preconditioning 
Contributed Talk  Malena Sabaté Landman  Emory University  *Efficient SAA Methods for Hyperparameter Estimation in Bayesian Inverse Problems 
Contributed Talk  Hayden Liu Weng  Technical University of Munich  *DataDriven Solver and Preconditioner Selection for Sparse Linear Matrices 
Contributed Talk  Matthias Bolten  Bergische Universität Wuppertal  *Multigrid for block Toeplitz systems arising from PDEs and systems thereof 
Contributed Talk  Carlos JerezHanckes  University of Bath, Universidad Adolfo Ibáñez  *Biparametric Operator Preconditioning 
Contributed Talk  René Spoerer  Bergische Universität Wuppertal  *SymbolBased Analysis of (Two Related) Multigrid Methods for Electromagnetic Scattering Problems 
Contributed Talk  Tyler Chen  New York University  *Nearoptimal hierarchical matrix approximation from matrixvector products 
Contributed Talk  Fei Xue  Clemson University  *A New Preconditioned Nonlinear Conjugate Gradient Method in Real Arithmetic for Computing the Ground States of Rotational BoseEinstein Condensate 
Contributed Talk  Shuhang Li  Emory University  *Achieving Additive Separability in the Internally Contracted Multireference Unitary CoupledCluster Method Through the Inexact Newton Approach 




Minisymposium 
MS1: Preconditioned Linear Algebraic Techniques for Solving Inverse Problems Organizers: Lucas Onisk and James Nagy 

Speaker  Lucas Onisk  Emory University  *Effective Approximate Preconditioners for Linear Inverse Problems 
Speaker  Daniel Szyld  Temple University  *A New Deflation Space for Preconditioned GMRES 
Speaker  Eric de Sturler  Virginia Tech  Preconditioning Linear Inverse Problems Using Randomization and Subspace Projection 
Speaker  Srinivas Eswar  Argonne National Laboratory  *Randomized Approaches for Optimal Experiment Design 




Minisymposium 
MS2: Parallel and Machine Learning Preconditioning Methods for Large Linear Systems Organizers: Kees Vuik and Wil Schilders 

Speaker  Vassil Alexandrov  Hartree Centre  Prospective on Latest Advances of Scalable Hybrid Monte Carlo Methods for Linear Algebra 
Speaker  Jinqiang Chen  TU Delft  *MatrixFree Parallel Scalable Multilevel Deflation Preconditioning for the Helmholtz Equation 
Speaker  Pratik Nayak  Karlsruhe Institute of Technology  *Scalable distributed preconditioners in Ginkgo 
Speaker  Alena Kopanicakova  Università della Svizzera italiana  *DeepONetbased Preconditioning for Krylov Methods 




Minisymposium 
MS3: Nonlinear Preconditioning Techniques and Applications Organizers: XiaoChuan Cai and Alexander Heinlein 

Speaker  XiaoChuan Cai  University of Macau  *Some preconditioned inexact Newton methods with learning capabilities 
Speaker  Victorita Dolean  TU Eindhoven  *Domain decomposition preconditioners and multiscale approaches to solve stationary and timedependent nonlinear equations 
Speaker  David Keyes  King Abdullah University of Science and Technology  Nonlinear Preconditioning for Implicit Solution of Discretized PDEs 
Speaker  Hardik Kothari  Università della Svizzera italiana  *Exploring nonlinear preconditioning strategies for solving phasefield fracture problems 
Speaker  Alena Kopanicakova  Università della Svizzera italiana  *Accelerating training of neural networks using decomposition strategies 
Speaker  Conor McCoid  Université Laval  *Adaptive optimised Schwarz methods 




Minisymposium 
MS4: Preconditioners for High Frequency Helmholtz Problems Organizers: Kars Knook, Robert Kirby, and Drew Anderson 

Speaker  Kees Vuik and Vandana Dwarka  TU Delft  *Towards scalable preconditioners for indefinite systems arising in electromagnetic simulations 
Speaker  Victorita Dolean  TU Eindhoven  *Schwarz preconditioner with $H_k$GenEO coarse space for the indefinite Helmholtz problem 
Speaker  Xavier Claeys  Sorbonne Université  *Acceleration of nonlocal exchange in generalized optimized Schwarz methods 
Speaker  Shihua Gong  The Chinese University of Hong Kong, Shenzhen, and SICIAM, SRIBD  *Some convergence results for RASImp and RASPML for the Helmholtz equation 




Minisymposium 
MS5: Recent Progress on Learning to Precondition with Graph Neural Networks Organizer: Jie Chen 

Speaker  Paul Häusner  Uppsala University  *Graph neural network based preconditioner for Krylov subspace methods 
Speaker  Ziyuan Tang  University of Minnesota  *Graph Neural Networks for Selection of Preconditioners and Krylov Solvers 
Speaker  Jie Chen  IBM Research  *Approximating the Inverse of a Sparse Linear Operator with Graph Neural Networks 




Minisymposium 
MS6: Recent Advances in SaddlePoint and Double SaddlePoint Systems Organizer: Chen Greif 

Speaker  Chen Greif  The University of British Columbia  *Spectral Properties of Double SaddlePoint Systems 
Speaker  Massimiliano Ferronato  University of Padova  *Block Triangular Preconditioners for Double SaddlePoint Problems Arising in Mixed Hybrid Coupled Poromechanics 
Speaker  Santolo Leveque  Scuola Normale Superiore di Pisa  *An Augmented Lagrangian Preconditioner for the Control of the NavierStokes Equations 




Minisymposium 
MS7: Algebraic and Geometric Domain Decomposition Preconditioners for Complex Problems Organizers: Victorita Dolean and Nicole Spillane 

Speaker  Xavier Claeys  Sorbonne Université  *Substructuring the HiptmairXu Preconditioner 
Speaker  Pierre Marchand  INRIA Paris Saclay  *Overlapping Schwarz Preconditioner with Geneo Coarse Space for Nonlocal Equations 
Speaker  Nicole Spillane  CNRS, Ecole Polytechnique  *An Algebraic Domain Decomposition Preconditioner 
Speaker  BuuVan Nguyen  Delft University of Technology  *Development of preconditioning techniques for integrated energy systems 




Minisymposium 
MS8: Preconditioning Techniques for Gaussian Processes Organizers: Tianshi Xu and Mikhail Lepilov 

Speaker  Difeng Cai  Southern Methodist University  *On Gaussian Kernel Matrices: Spectral Properties and Efficient Approximations 
Speaker  Mikhail Lepilov  Emory University  *Spectral Shape Estimation of Kernel Matrices 
Speaker  Francesco Brarda  Emory University  *SpectralRefiner: FineTuning for Accurate Spatiotemporal Operator Learning in Turbulent Flows 
Speaker  Tianshi Xu  Emory University  *Efficient Preconditioned Unbiased Estimators in Gaussian Processes 




Minisymposium 
MS9: Recent advances in multigrid preconditioning Organizers: Victor Magri and Nicola Castelletto and Daniel OseiKuffuor 

Speaker  Tucker Hartland  Lawrence Livermore National Laboratory  *An interiorpoint multigridbased approach for scalable computational contact mechanics 
Speaker  Xiaozhe Hu  Tufts University  *Robust physicsbased preconditioners for multiphysics problems 
Speaker  Victor Magri  Lawrence Livermore National Laboratory  *A multigrid reduction framework for multiphysics applications 
Speaker  Ulrike Yang  Lawrence Livermore National Laboratory  *Mixed precision algorithm development in hypre 




Minisymposium 
MS10: Preconditioning and Machine Learning Organizers: Qiang Ye and Jianlin Xia 

Speaker  Qiang Ye  University of Kentucky  *Batch Normalization Preconditioning for Neural Network Training 
Speaker  Susanna Lange  University of Chicago  *Batch Normalization Preconditioning for Convolutional Neural Networks 
Speaker  Jie Chen  MITIBM Watson AI Lab, IBM Research  *A GromovWasserstein Geometric Objective for Graph Coarsening and Potentials for Preconditioning 
Speaker  Bao Wang  University of Utah  *Equivariant Generative Models for Molecular Modeling 
Speaker  Jianlin Xia  Purdue University  Fast solvers for neural network leastsquares approximations 
Speaker  Tong Ding  Purdue University  *A structureguided GaussNewton method for shallow ReLU neural network 
Speaker  Zequn Zheng  Louisiana State University  *Generating Polynomial Method for Nonsymmetric Tensor Decomposition 




Minisymposium 
MS11: Analog and mixed precision preconditioning Organizers: Erik Boman, Mark S. Squillante, Vassilis Kalantzis 

Speaker  Erik Boman  Sandia National Laboratories  *Solvers and Preconditioners for Analog Architectures 
Speaker  Chai Wah Wu  IBM Research  *Solving Sparse Linear Systems via Flexible GMRES with InMemory Analog Preconditioning 
Speaker  Longfei Gao  Argonne National Laboratory  *Half precision wave simulation 


