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2020 – today
- 2024
[c3]Shikai Fang, Madison Cooley, Da Long, Shibo Li, Mike Kirby, Shandian Zhe:
Solving High Frequency and Multi-Scale PDEs with Gaussian Processes. ICLR 2024- [i5]Madison Cooley, Shandian Zhe, Robert M. Kirby, Varun Shankar:
Polynomial-Augmented Neural Networks (PANNs) with Weak Orthogonality Constraints for Enhanced Function and PDE Approximation. CoRR abs/2406.02336 (2024) - [i4]Madison Cooley, Varun Shankar, Robert M. Kirby, Shandian Zhe:
Fourier PINNs: From Strong Boundary Conditions to Adaptive Fourier Bases. CoRR abs/2410.03496 (2024) - [i3]Madison Cooley, Robert M. Kirby, Shandian Zhe, Varun Shankar:
HyResPINNs: Adaptive Hybrid Residual Networks for Learning Optimal Combinations of Neural and RBF Components for Physics-Informed Modeling. CoRR abs/2410.03573 (2024) - 2023
- [i2]Shikai Fang, Madison Cooley, Da Long, Shibo Li, Robert M. Kirby, Shandian Zhe:
Solving High Frequency and Multi-Scale PDEs with Gaussian Processes. CoRR abs/2311.04465 (2023) - 2022
- [c2]Zhen Wang
, Madison Cooley, Yang Zhang, Chao Lan, Ji Zhang:
Debiased Learning of Self-Labeled Twitter Data for User Demographic Prediction. IEEE Big Data 2022: 6827-6829 - 2021
- [c1]Madison Cooley, Casey S. Greene, Davis Issac, Milton Pividori, Blair D. Sullivan:
Parameterized algorithms for identifying gene co-expression modules via weighted clique decomposition. ACDA 2021: 111-122 - [i1]Madison Cooley, Casey S. Greene, Davis Issac, Milton Pividori, Blair D. Sullivan:
Parameterized algorithms for identifying gene co-expression modules via weighted clique decomposition. CoRR abs/2106.00657 (2021)
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