Levi E. Lingsch

Orcid: 0000-0002-7480-9916

According to our database1, Levi E. Lingsch authored at least 12 papers between 2021 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Phaedra: Learning High-Fidelity Discrete Tokenization for the Physical Science.
CoRR, February, 2026

A low-complexity algorithm to digitally uncouple the mutual coupling effect in antenna arrays via symmetric Toeplitz matrices.
J. Comput. Appl. Math., 2026

2025
A Low-complexity Structured Neural Network to Realize States of Dynamical Systems.
CoRR, March, 2025

Neuro-Symbolic AI for Analytical Solutions of Differential Equations.
CoRR, February, 2025

A Fast True Time-Delay Wideband Multi-Beam Beamforming Algorithm Based on a 16-Beam Approximate-DVM.
IEEE Access, 2025

Geometry Aware Operator Transformer as an efficient and accurate neural surrogate for PDEs on arbitrary domains.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

RIGNO: A Graph-based Framework For Robust And Accurate Operator Learning For PDEs On Arbitrary Domains.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2024
FUSE: Fast Unified Simulation and Estimation for PDEs.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Beyond Regular Grids: Fourier-Based Neural Operators on Arbitrary Domains.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Vandermonde Neural Operators.
CoRR, 2023

2022
A Fast DVM Algorithm for Wideband Time-Delay Multi-Beam Beamformers.
IEEE Trans. Signal Process., 2022

2021
Sparse Matrix Based Low-Complexity, Recursive, and Radix-2 Algorithms for Discrete Sine Transforms.
IEEE Access, 2021


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