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Madison Cooley

Ph.D. Student

University of Utah

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I am a Computing Ph.D. student concentrating in Data Management and Analysis at the University of Utah School of Computing. I work in the Scientific Computing and Imaging Institute (SCI), co-advised by Mike Kirby and Shandian Zhe. My research focuses on Physics-Informed Machine Learning (PIML).

I received my bachelor's in Computer Science from the University of Wyoming, minoring in Mathematics and Statistics.

Publications

  • HyResPINNs: Adaptive Hybrid Residual Networks for Learning Optimal Combinations of Neural and RBF Components for Physics-Informed Modeling [LINK]
    Madison Cooley, Robert Kirby, Shandian Zhe, Varun Shankar
    Under review

  • Fourier PINNs: From Strong Boundary Conditions to Adaptive Fourier Bases [LINK]
    Madison Cooley, Varun Shankar, Robert Kirby, Shandian Zhe
    Under review

  • Polynomial-Augmented Neural Networks (PANNs) with Weak Orthogonality Constraints for Enhanced Function and PDE Approximation [LINK]
    Madison Cooley, Robert Kirby, Shandian Zhe, Varun Shankar
    Under review

  • Solving High Frequency and Multi-Scale PDEs with Gaussian Processes [LINK]
    Shikai Fang, Madison Cooley, Da Long, Shibo Li, Robert Kirby, Shandian Zhe
    The Twelfth International Conference on Learning Representations (ICLR 2024)

  • Debiased Learning of Self-Labeled Twitter Data for User Demographic Prediction [LINK]
    Zhen Wang, Madison Cooley, Yang Zhang, Chao Lan, Ji Zhang
    2022 IEEE International Conference on Big Data (Big Data)

  • Predicting the Performance of Mesophase Formation and Properties of Mesophase Pitch Based on Experimental Investigation and Machine Learning (In preparation) [LINK]
    Wenjia Wang, Madison Cooley, Karissa Jolley, Robert M. Kirby, Eric Eddings
    2022 AiChE Annual Meeting

  • Parameterized algorithms for identifying gene co-expression modules via weighted clique decomposition [PDF] [Fun Slides] [Slides]
    Madison Cooley, Casey S. Greene, Davis Issac, Milton Pividori, Blair D. Sullivan
    SIAM Conference on Applied and Computational Discrete Algorithms (ACDA) 2021

  • Building Collaboration and Securing Interest in Computer Science Education through Outreach Opportunities [PDF]
    Shaya Wolf, Fiona Moss, Rasana Manandhar, Madison Cooley, Rafer Cooley, Andrea Burrows, Mike Borowczak
    American Society for Engineering Education (ASEE) 2019

Presentations

  • Gene Module Decomposition [Slides]
    Madison Cooley, Casey S. Greene, Davis Issac, Milton Pividori, Blair D. Sullivan
    Invited talk, Algorithm Engineering Seminar, Hasso-Plattner-Institut

  • Rounding Out Structural Rounding [PDF] [Slides]
    Madison Cooley, Blair D. Sullivan, Brian Lavallee
    SIAM Workshop on Network Science 2020