Alex Townsend - RankMe

86 papers A* 5Journal 80Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Beyond singular value gaps in randomized subspace approximation. CoRR Christopher Wang, Alex Townsend
2026	J	`jnl`	Linear Systems and Eigenvalue Problems: Open Questions from a Simons Workshop. CoRR Noah Amsel, Yves Baumann, Paul Beckman, Peter Bürgisser, Chris Camaño, Tyler Chen, Edmond Chow, Anil Damle, Michal Derezinski, Mark Embree, Ethan N. Epperly, Robert D. Falgout, Mark Fornace, Anne Greenbaum, Chen Greif, Diana Halikias, Zhen Huang, Elias Jarlebring, Yiannis Koutis, Daniel Kressner, Rasmus Kyng, Jörg Liesen, Jackie Lok, Raphael A. Meyer, Yuji Nakatsukasa, Kate Pearce, Richard Peng, David Persson, Elizaveta Rebrova, Ryan Schneider, Rikhav Shah, Edgar Solomonik, Nikhil Srivastava, Alex Townsend, Robert J. Webber, Jess Williams
2026	J	`jnl`	Rational Neural Networks have Expressivity Advantages. CoRR Maosen Tang, Alex Townsend
2025	J	`jnl`	A Hidden Variable Resultant Method for the Polynomial Multiparameter Eigenvalue Problem. CoRR Emil Graf, Alex Townsend
2025	J	`jnl`	Avoiding Discretization Issues for Nonlinear Eigenvalue Problems. SIAM J. Matrix Anal. Appl. Matthew J. Colbrook, Alex Townsend
2025	J	`jnl`	ContHutch++: Stochastic Trace Estimation For Implicit Integral Operators. SIAM J. Numer. Anal. Jennifer Zvonek, Andrew J. Horning, Alex Townsend
2025	J	`jnl`	Convergence of Pivoted Cholesky Algorithm for Lipschitz Kernels. CoRR Sungwoo Jeong, Alex Townsend
2025	A*	`conf`	Extending Mercer's expansion to indefinite and asymmetric kernels. ICLR Sungwoo Jeong, Alex Townsend
2025	J	`jnl`	Operator Learning for Hyperbolic PDEs. J. Mach. Learn. Res. Christopher Wang, Alex Townsend
2025	J	`jnl`	The distributional Koopman operator for random dynamical systems. Math. Control. Signals Syst. Maria Oprea, Alex Townsend, Yunan Yang
2024	J	`jnl`	Are Sketch-and-Precondition Least Squares Solvers Numerically Stable? SIAM J. Matrix Anal. Appl. Maike Meier, Yuji Nakatsukasa, Alex Townsend, Marcus Webb
2024	J	`jnl`	Extending Mercer's expansion to indefinite and asymmetric kernels. CoRR Sungwoo Jeong, Alex Townsend
2024	J	`jnl`	How to reveal the rank of a matrix? CoRR Anil Damle, Silke Glas, Alex Townsend, Annan Yu
2024	J	`jnl`	Leveraging the Hankel norm approximation and data-driven algorithms in reduced order modeling. Numer. Linear Algebra Appl. Annan Yu, Alex Townsend
2024	J	`jnl`	Numerical Instability of Algebraic Rootfinding Methods. CoRR Emil Graf, Alex Townsend
2024	J	`jnl`	Operator learning without the adjoint. CoRR Nicolas Boullé, Diana Halikias, Samuel E. Otto, Alex Townsend
2024	J	`jnl`	Operator learning without the adjoint. J. Mach. Learn. Res. Nicolas Boullé, Diana Halikias, Samuel E. Otto, Alex Townsend
2024	J	`jnl`	Structured matrix recovery from matrix-vector products. Numer. Linear Algebra Appl. Diana Halikias, Alex Townsend
2023	J	`jnl`	A Mathematical Guide to Operator Learning. CoRR Nicolas Boullé, Alex Townsend
2023	J	`jnl`	Are sketch-and-precondition least squares solvers numerically stable? CoRR Maike Meier, Yuji Nakatsukasa, Alex Townsend, Marcus Webb
2023	J	`jnl`	Avoiding discretization issues for nonlinear eigenvalue problems. CoRR Matthew J. Colbrook, Alex Townsend
2023	J	`jnl`	Beyond expectations: Residual Dynamic Mode Decomposition and Variance for Stochastic Dynamical Systems. CoRR Matthew J. Colbrook, Qin Li, Ryan V. Raut, Alex Townsend
2023	J	`jnl`	ContHutch++: Stochastic trace estimation for implicit integral operators. CoRR Jennifer Zvonek, Andrew J. Horning, Alex Townsend
2023	J	`jnl`	Elliptic PDE learning is provably data-efficient. CoRR Nicolas Boullé, Diana Halikias, Alex Townsend
2023	J	`jnl`	Learning Elliptic Partial Differential Equations with Randomized Linear Algebra. Found. Comput. Math. Nicolas Boullé, Alex Townsend
2023	J	`jnl`	Leveraging the Hankel norm approximation and block-AAA algorithms in reduced order modeling. CoRR Annan Yu, Alex Townsend
2023	J	`jnl`	Operator learning for hyperbolic partial differential equations. CoRR Christopher Wang, Alex Townsend
2023	J	`jnl`	Parallel Algorithms for Computing the Tensor-Train Decomposition. SIAM J. Sci. Comput. Tianyi Shi, Maximilian Ruth, Alex Townsend
2023	A*	`conf`	Tuning Frequency Bias in Neural Network Training with Nonuniform Data. ICLR Annan Yu, Yunan Yang, Alex Townsend
2022	J	`jnl`	A Quadrature Perspective on Frequency Bias in Neural Network Training with Nonuniform Data. CoRR Annan Yu, Yunan Yang, Alex Townsend
2022	A*	`conf`	A generalization of the randomized singular value decomposition. ICLR Nicolas Boullé, Alex Townsend
2022	J	`jnl`	Anderson acceleration based on the H-s Sobolev norm for contractive and noncontractive fixed-point operators. J. Comput. Appl. Math. Yunan Yang, Alex Townsend, Daniel Appelö
2022	J	`jnl`	Data-Driven Algorithms for Signal Processing with Trigonometric Rational Functions. SIAM J. Sci. Comput. Heather Wilber, Anil Damle, Alex Townsend
2022	J	`jnl`	Learning Green's functions associated with parabolic partial differential equations. CoRR Nicolas Boullé, Seick Kim, Tianyi Shi, Alex Townsend
2022	J	`jnl`	Learning Green's functions associated with time-dependent partial differential equations. J. Mach. Learn. Res. Nicolas Boullé, Seick Kim, Tianyi Shi, Alex Townsend
2022	J	`jnl`	Matrix recovery from matrix-vector products. CoRR Diana Halikias, Alex Townsend
2022	J	`jnl`	On the stability of unevenly spaced samples for interpolation and quadrature. CoRR Annan Yu, Alex Townsend
2022	A*	`conf`	Probabilistic Missing Value Imputation for Mixed Categorical and Ordered Data. NeurIPS Yuxuan Zhao, Alex Townsend, Madeleine Udell
2021	J	`jnl`	A generalization of the randomized singular value decomposition. CoRR Nicolas Boullé, Alex Townsend
2021	J	`jnl`	An optimal complexity spectral method for Navier-Stokes simulations in the ball. CoRR Nicolas Boullé, Jonasz Slomka, Alex Townsend
2021	J	`jnl`	Arbitrary-Depth Universal Approximation Theorems for Operator Neural Networks. CoRR Annan Yu, Chloé Becquey, Diana Halikias, Matthew Esmaili Mallory, Alex Townsend
2021	J	`jnl`	Computing Spectral Measures of Self-Adjoint Operators. SIAM Rev. Matthew J. Colbrook, Andrew J. Horning, Alex Townsend
2021	J	`jnl`	Data-driven Algorithms for signal processing with rational functions. CoRR Heather Wilber, Anil Damle, Alex Townsend
2021	J	`jnl`	Data-driven discovery of physical laws with human-understandable deep learning. CoRR Nicolas Boullé, Christopher J. Earls, Alex Townsend
2021	J	`jnl`	Error Localization of Best L SIAM J. Numer. Anal. Yuji Nakatsukasa, Alex Townsend
2021	J	`jnl`	Learning elliptic partial differential equations with randomized linear algebra. CoRR Nicolas Boullé, Alex Townsend
2021	J	`jnl`	On the Compressibility of Tensors. SIAM J. Matrix Anal. Appl. Tianyi Shi, Alex Townsend
2021	J	`jnl`	Parallel algorithms for computing the tensor-train decomposition. CoRR Tianyi Shi, Maximilian Ruth, Alex Townsend
2021	J	`jnl`	Rigorous data-driven computation of spectral properties of Koopman operators for dynamical systems. CoRR Matthew J. Colbrook, Alex Townsend
2021	J	`jnl`	The ultraspherical spectral element method. J. Comput. Phys. Daniel Fortunato, Nicholas Hale, Alex Townsend
2020	J	`jnl`	Anderson Acceleration Using the H CoRR Yunan Yang, Alex Townsend, Daniel Appelö
2020	J	`jnl`	Computing spectral measures of self-adjoint operators. CoRR Matthew J. Colbrook, Andrew Horning, Alex Townsend
2020	J	`jnl`	Computing with Functions in the Ball. SIAM J. Sci. Comput. Nicolas Boullé, Alex Townsend
2020	J	`jnl`	FEAST for Differential Eigenvalue Problems. SIAM J. Numer. Anal. Andrew J. Horning, Alex Townsend
2020	J	`jnl`	Fast algorithms using orthogonal polynomials. Acta Numer. Sheehan Olver, Richard Mikaël Slevinsky, Alex Townsend
2020	J	`jnl`	Over-parametrized neural networks as under-determined linear systems. CoRR Austin R. Benson, Anil Damle, Alex Townsend
2020	A*	`conf`	Rational neural networks. NeurIPS Nicolas Boullé, Yuji Nakatsukasa, Alex Townsend
2020	J	`jnl`	Rational neural networks. CoRR Nicolas Boullé, Yuji Nakatsukasa, Alex Townsend
2020	J	`jnl`	The ultraspherical spectral element method. CoRR Daniel Fortunato, Nicholas Hale, Alex Townsend
2019	J	`jnl`	A Sparse Spectral Method on Triangles. SIAM J. Sci. Comput. Sheehan Olver, Alex Townsend, Geoffrey M. Vasil
2019	J	`jnl`	Bounding Zolotarev numbers using Faber rational functions. CoRR Daniel Rubin, Alex Townsend
2019	J	`jnl`	Bounds on the Singular Values of Matrices with Displacement Structure. SIAM Rev. Bernhard Beckermann, Alex Townsend
2019	J	`jnl`	Computing with functions in the ball. CoRR Nicolas Boullé, Alex Townsend
2019	J	`jnl`	Continuous Analogues of Krylov Subspace Methods for Differential Operators. SIAM J. Numer. Anal. Marc Aurèle Gilles, Alex Townsend
2019	J	`jnl`	Stable Extrapolation of Analytic Functions. Found. Comput. Math. Laurent Demanet, Alex Townsend
2019	J	`jnl`	Why Are Big Data Matrices Approximately Low Rank? SIAM J. Math. Data Sci. Madeleine Udell, Alex Townsend
2018	J	`jnl`	A Nonuniform Fast Fourier Transform Based on Low Rank Approximation. SIAM J. Sci. Comput. Diego Ruiz-Antolín, Alex Townsend
2018	J	`jnl`	Chebyshev approximation and the global geometry of sloppy models. CoRR Katherine N. Quinn, Heather Wilber, Alex Townsend, James P. Sethna
2018	J	`jnl`	Fast polynomial transforms based on Toeplitz and Hankel matrices. Math. Comput. Alex Townsend, Marcus Webb, Sheehan Olver
2017	J	`jnl`	Computing with Functions in Spherical and Polar Geometries II. The Disk. SIAM J. Sci. Comput. Heather Wilber, Alex Townsend, Grady B. Wright
2017	J	`jnl`	Nice latent variable models have log-rank. CoRR Madeleine Udell, Alex Townsend
2017	J	`jnl`	On the Singular Values of Matrices with Displacement Structure. SIAM J. Matrix Anal. Appl. Bernhard Beckermann, Alex Townsend
2017	J	`jnl`	Vector Spaces of Linearizations for Matrix Polynomials: A Bivariate Polynomial Approach. SIAM J. Matrix Anal. Appl. Yuji Nakatsukasa, Vanni Noferini, Alex Townsend
2016	J	`jnl`	Computing with Functions in Spherical and Polar Geometries I. The Sphere. SIAM J. Sci. Comput. Alex Townsend, Heather Wilber, Grady B. Wright
2016	J	`jnl`	Numerical Instability of Resultant Methods for Multidimensional Rootfinding. SIAM J. Numer. Anal. Vanni Noferini, Alex Townsend
2016	J	`jnl`	Stable extrapolation of analytic functions. CoRR Laurent Demanet, Alex Townsend
2015	J	`jnl`	A Fast Analysis-Based Discrete Hankel Transform Using Asymptotic Expansions. SIAM J. Numer. Anal. Alex Townsend
2015	J	`jnl`	Are resultant methods numerically unstable for multidimensional rootfinding? CoRR Vanni Noferini, Alex Townsend
2015	J	`jnl`	Computing the common zeros of two bivariate functions via Bézout resultants. Numerische Mathematik Yuji Nakatsukasa, Vanni Noferini, Alex Townsend
2015	J	`jnl`	The automatic solution of partial differential equations using a global spectral method. J. Comput. Phys. Alex Townsend, Sheehan Olver
2014	J	`jnl`	A Fast, Simple, and Stable Chebyshev-Legendre Transform Using an Asymptotic Formula. SIAM J. Sci. Comput. Nicholas Hale, Alex Townsend
2014	—	`conf`	A practical framework for infinite-dimensional linear algebra. HPTCDL@SC Sheehan Olver, Alex Townsend
2014	J	`jnl`	An Algorithm for the Convolution of Legendre Series. SIAM J. Sci. Comput. Nicholas Hale, Alex Townsend
2013	J	`jnl`	A Fast and Well-Conditioned Spectral Method. SIAM Rev. Sheehan Olver, Alex Townsend
2013	J	`jnl`	An Extension of Chebfun to Two Dimensions. SIAM J. Sci. Comput. Alex Townsend, Lloyd N. Trefethen
2013	J	`jnl`	Fast and Accurate Computation of Gauss-Legendre and Gauss-Jacobi Quadrature Nodes and Weights. SIAM J. Sci. Comput. Nicholas Hale, Alex Townsend