Townsend, Alex

8 publications

ICLR 2025 Extending Mercer's Expansion to Indefinite and Asymmetric Kernels Sungwoo Jeong, Alex Townsend

JMLR 2025 Operator Learning for Hyperbolic PDEs Christopher Wang, Alex Townsend

JMLR 2024 Operator Learning Without the Adjoint Nicolas Boullé, Diana Halikias, Samuel E. Otto, Alex Townsend

ICLR 2023 Tuning Frequency Bias in Neural Network Training with Nonuniform Data Annan Yu, Yunan Yang, Alex Townsend

ICLR 2022 A Generalization of the Randomized Singular Value Decomposition Nicolas Boulle, Alex Townsend

JMLR 2022 Learning Green's Functions Associated with Time-Dependent Partial Differential Equations Nicolas Boullé, Seick Kim, Tianyi Shi, Alex Townsend

NeurIPS 2022 Probabilistic Missing Value Imputation for Mixed Categorical and Ordered Data Yuxuan Zhao, Alex Townsend, Madeleine Udell

NeurIPS 2020 Rational Neural Networks Nicolas Boulle, Yuji Nakatsukasa, Alex Townsend