Samuel Lanthaler

32 papers A* 3Journal 29

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Probabilistic Framework for Solving High-Frequency Helmholtz Equations via Diffusion Models. CoRR Yicheng Zou, Samuel Lanthaler, Hossein Salahshoor
2026	J	`jnl`	Merging Memory and Space: A State Space Neural Operator. Trans. Mach. Learn. Res. Nodens F. Koren, Samuel Lanthaler
2025	J	`jnl`	Merging Memory and Space: A Spatiotemporal State Space Neural Operator. CoRR Nodens F. Koren, Samuel Lanthaler
2025	J	`jnl`	Scale-Consistent Learning for Partial Differential Equations. CoRR Zongyi Li, Samuel Lanthaler, Catherine Deng, Michael Chen, Yixuan Wang, Kamyar Azizzadenesheli, Anima Anandkumar
2025	J	`jnl`	Theory-to-Practice Gap for Neural Networks and Neural Operators. CoRR Philipp Grohs, Samuel Lanthaler, Margaret Trautner
2025	J	`jnl`	Towards a Certificate of Trust: Task-Aware OOD Detection for Scientific AI. CoRR Bogdan Raonic, Siddhartha Mishra, Samuel Lanthaler
2025	J	`jnl`	Universality of physical neural networks with multivariate nonlinearity. CoRR Benjamin Savinson, David J. Norris, Siddhartha Mishra, Samuel Lanthaler
2024	J	`jnl`	Data Complexity Estimates for Operator Learning. CoRR Nikola B. Kovachki, Samuel Lanthaler, Hrushikesh Mhaskar
2024	J	`jnl`	Discretization Error of Fourier Neural Operators. CoRR Samuel Lanthaler, Andrew M. Stuart, Margaret Trautner
2024	J	`jnl`	Generative AI for fast and accurate Statistical Computation of Fluids. CoRR Roberto Molinaro, Samuel Lanthaler, Bogdan Raonic, Tobias Rohner, Victor Armegioiu, Zhong Yi Wan, Fei Sha, Siddhartha Mishra, Leonardo Zepeda-Núñez
2024	J	`jnl`	Operator Learning of Lipschitz Operators: An Information-Theoretic Perspective. CoRR Samuel Lanthaler
2024	J	`jnl`	Operator Learning: Algorithms and Analysis. CoRR Nikola B. Kovachki, Samuel Lanthaler, Andrew M. Stuart
2023	A*	`conf`	Error Bounds for Learning with Vector-Valued Random Features. NeurIPS Samuel Lanthaler, Nicholas H. Nelsen
2023	J	`jnl`	Error Bounds for Learning with Vector-Valued Random Features. CoRR Samuel Lanthaler, Nicholas H. Nelsen
2023	A*	`conf`	Neural Oscillators are Universal. NeurIPS Samuel Lanthaler, T. Konstantin Rusch, Siddhartha Mishra
2023	J	`jnl`	Neural Oscillators are Universal. CoRR Samuel Lanthaler, T. Konstantin Rusch, Siddhartha Mishra
2023	A*	`conf`	Nonlinear Reconstruction for Operator Learning of PDEs with Discontinuities. ICLR Samuel Lanthaler, Roberto Molinaro, Patrik Hadorn, Siddhartha Mishra
2023	J	`jnl`	Operator learning with PCA-Net: upper and lower complexity bounds. CoRR Samuel Lanthaler
2023	J	`jnl`	Operator learning with PCA-Net: upper and lower complexity bounds. J. Mach. Learn. Res. Samuel Lanthaler
2023	J	`jnl`	The Nonlocal Neural Operator: Universal Approximation. CoRR Samuel Lanthaler, Zongyi Li, Andrew M. Stuart
2023	J	`jnl`	The curse of dimensionality in operator learning. CoRR Samuel Lanthaler, Andrew M. Stuart
2022	J	`jnl`	Nonlinear Reconstruction for Operator Learning of PDEs with Discontinuities. CoRR Samuel Lanthaler, Roberto Molinaro, Patrik Hadorn, Siddhartha Mishra
2021	J	`jnl`	Error estimates for DeepOnets: A deep learning framework in infinite dimensions. CoRR Samuel Lanthaler, Siddhartha Mishra, George Em Karniadakis
2021	J	`jnl`	On Universal Approximation and Error Bounds for Fourier Neural Operators. J. Mach. Learn. Res. Nikola B. Kovachki, Samuel Lanthaler, Siddhartha Mishra
2021	J	`jnl`	On the approximation of functions by tanh neural networks. CoRR Tim De Ryck, Samuel Lanthaler, Siddhartha Mishra
2021	J	`jnl`	On the approximation of functions by tanh neural networks. Neural Networks Tim De Ryck, Samuel Lanthaler, Siddhartha Mishra
2021	J	`jnl`	On the well-posedness of Bayesian inversion for PDEs with ill-posed forward problems. CoRR Samuel Lanthaler, Siddhartha Mishra, Franziska Weber
2021	J	`jnl`	On universal approximation and error bounds for Fourier Neural Operators. CoRR Nikola B. Kovachki, Samuel Lanthaler, Siddhartha Mishra
2020	J	`jnl`	On concentration in vortex sheets. CoRR Samuel Lanthaler
2020	J	`jnl`	On the Convergence of the Spectral Viscosity Method for the Two-Dimensional Incompressible Euler Equations with Rough Initial Data. Found. Comput. Math. Samuel Lanthaler, Siddhartha Mishra
2020	J	`jnl`	On the conservation of energy in two-dimensional incompressible flows. CoRR Samuel Lanthaler, Siddhartha Mishra, Carlos Parés-Pulido
2019	J	`jnl`	Statistical solutions of the incompressible Euler equations. CoRR Samuel Lanthaler, Siddhartha Mishra, Carlos Parés-Pulido