Madison Cooley

According to our database, Madison Cooley authored at least 6 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

HyResPINNs: Adaptive Hybrid Residual Networks for Learning Optimal Combinations of Neural and RBF Components for Physics-Informed Modeling.

Madison Cooley, Robert M. Kirby, Shandian Zhe, Varun Shankar

CoRR, 2024

Fourier PINNs: From Strong Boundary Conditions to Adaptive Fourier Bases.

Madison Cooley, Varun Shankar, Robert M. Kirby, Shandian Zhe

CoRR, 2024

Polynomial-Augmented Neural Networks (PANNs) with Weak Orthogonality Constraints for Enhanced Function and PDE Approximation.

Madison Cooley, Shandian Zhe, Robert M. Kirby, Varun Shankar

CoRR, 2024

Solving High Frequency and Multi-Scale PDEs with Gaussian Processes.

Shikai Fang, Madison Cooley, Da Long, Shibo Li, Mike Kirby, Shandian Zhe

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2022

Debiased Learning of Self-Labeled Twitter Data for User Demographic Prediction.

Zhen Wang, Madison Cooley, Yang Zhang, Chao Lan, Ji Zhang

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Parameterized algorithms for identifying gene co-expression modules via weighted clique decomposition.

Madison Cooley, Casey S. Greene, Davis Issac, Milton Pividori, Blair D. Sullivan

Proceedings of the 2021 SIAM Conference on Applied and Computational Discrete Algorithms, 2021