Accepted Talks and Minisymposia

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Type Name Affiliation Title
Contributed Talk Alexey Voronin University of Illinois Urbana Champaign *Practical Advances in High-Order 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 High-contrast 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 Ben-Gurion University of the Negev *LFA-tuned matrix-free 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 *Data-Driven 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 Jerez-Hanckes University of Bath, Universidad Adolfo Ibáñez *Bi-parametric Operator Preconditioning
Contributed Talk René Spoerer Bergische Universität Wuppertal *Symbol-Based Analysis of (Two Related) Multigrid Methods for Electromagnetic Scattering Problems
Contributed Talk Tyler Chen New York University *Near-optimal hierarchical matrix approximation from matrix-vector products
Contributed Talk Fei Xue Clemson University *A New Preconditioned Nonlinear Conjugate Gradient Method in Real Arithmetic for Computing the Ground States of Rotational Bose-Einstein Condensate
Contributed Talk Shuhang Li Emory University *Achieving Additive Separability in the Internally Contracted Multireference Unitary Coupled-Cluster 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 *Matrix-Free 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 *DeepONet-based Preconditioning for Krylov Methods
Minisymposium MS3: Nonlinear Preconditioning Techniques and Applications
Organizers: Xiao-Chuan Cai and Alexander Heinlein
Speaker Xiao-Chuan Cai University of Macau *Some preconditioned inexact Newton methods with learning capabilities
Speaker Victorita Dolean TU Eindhoven *Domain decomposition preconditioners and multi-scale approaches to solve stationary and time-dependent 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 phase-field 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 non-local exchange in generalized optimized Schwarz methods
Speaker Shihua Gong The Chinese University of Hong Kong, Shenzhen, and SICIAM, SRIBD *Some convergence results for RAS-Imp and RAS-PML 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 Saddle-Point and Double Saddle-Point Systems
Organizer: Chen Greif
Speaker Chen Greif The University of British Columbia *Spectral Properties of Double Saddle-Point Systems
Speaker Massimiliano Ferronato University of Padova *Block Triangular Preconditioners for Double Saddle-Point Problems Arising in Mixed Hybrid Coupled Poromechanics
Speaker Santolo Leveque Scuola Normale Superiore di Pisa *An Augmented Lagrangian Preconditioner for the Control of the Navier--Stokes 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 Hiptmair-Xu 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 Buu-Van 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 *Spectral-Refiner: Fine-Tuning 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 Osei-Kuffuor
Speaker Tucker Hartland Lawrence Livermore National Laboratory *An interior-point multigrid-based approach for scalable computational contact mechanics
Speaker Xiaozhe Hu Tufts University *Robust physics-based preconditioners for multi-physics problems
Speaker Victor Magri Lawrence Livermore National Laboratory *A multigrid reduction framework for multi-physics 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 MIT-IBM Watson AI Lab, IBM Research *A Gromov--Wasserstein 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 least-squares approximations
Speaker Tong Ding Purdue University *A structure-guided Gauss-Newton method for shallow ReLU neural network
Speaker Zequn Zheng Louisiana State University *Generating Polynomial Method for Non-symmetric 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 In-Memory Analog Preconditioning
Speaker Longfei Gao Argonne National Laboratory *Half precision wave simulation