Publications

A.M. Avila, M. Fonoberova, J.P. Hespanha, I. Mezic, D. Clymer, J. Goldstein, M.A. Pravia and D. Javorsek II, “Game Balancing using Koopman-based Learning, Proceedings of 2021 American Control Conference (ACC), May 26-28, 2021, New Orleans, USA. http://dx.doi.org/10.23919/ACC50511.2021.9483027

Mohr, M. Fonoberova, I. Manojlovic, A. Andrejcuk, Z. Drmac, Y. Kevrekidis, I. Mezic, “Applications of Koopman Mode Analysis to Neural Networks“, Proceedings of the AAAI 2021 Spring Symposium on Combining Artificial Intelligence and Machine Learning with Physical Sciences, Stanford, CA, USA, March 22-24, 2021.

https://arxiv.org/pdf/2006.11765.pdf

Mohr, A. Avila, S. Gosh, A. Bhattarai, M. Yang, X. Feng, M. Head-Gordon, R. Salakhutdinov, M. Fonoberova, I. Mezic, “Combining Programmable Potentials and Neural Networks for Materials Problems“, Proceedings of the AAAI 2021 Spring Symposium on Combining Artificial Intelligence and Machine Learning with Physical Sciences, Stanford, CA, USA, March 22-24, 2021.

https://aclanthology.org/2022.acl-long.38

Mohr, M. Fonoberova, Z. Drmac, I. Manojlovic, I. Mezic. “Predicting the Critical Number of Layers for Hierarchical Support Vector Regression“. Entropy 2021, 23, 37.

https://doi.org/10.3390/e23010037

Drmač, I. Mezić, R. Mohr:  “On least squares problem with certain Vandermonde-Khatri-Rao structure with applications to DMD“. SIAM Journal on Scientific Computing  42(5),  A3250–A3284., 2020.

Z Drmač: “Dynamic Mode Decomposition – a numerical linear algebra perspective, The Koopman Operator in Systems and Control“: Concepts, Methodologies, and Applications, Vol. 484, Springer 2020.

Hogg, M. Fonoberova, I. Mezic. “Exponentially decaying modes and long-term prediction of sea ice concentration using Koopman mode decomposition“, Sci Rep 10, 16313, 2020. https://doi.org/10.1038/s41598-020-73211-z

Folkestad, D. Pastor, I. Mezic, R. Mohr, M. Fonoberova, J. Burdick. “Extended Dynamic Mode Decomposition with Learned Koopman Eigenfunctions for Prediction and Control“, 2020 American Control Conference (ACC), Denver, CO, USA, 2020, pp. 3906-3913, doi: 10.23919/ACC45564.2020.9147729

Fonoberova, I. Mezic, J,. Mezic, J. Hogg, J. Gravel. “Small-world networks and synchronisation in an agent-based model of civil violence“, Global Crime, 20:3-4, 161-195, 2019. https://doi.org/10.1080/17440572.2019.1662304

Hogg, M. Fonoberova, I. Mezic, R. Mohr. “Koopman Mode Analysis of agent-based models of logistics processes“, PLoS ONE 14(9): e0222023, 2019. https://doi.org/10.1371/journal.pone.0222023

Mezic, V. A. Fonoberov, M. Fonoberova, T. Sahai. “Spectral Complexity of Directed Graphs and Application to Structural Decomposition,” Complexity, vol. 2019, Article ID 9610826, 18 pages, 2019. https://doi.org/10.1155/2019/9610826

Drmač, I. Mezić, R. Mohr: “Data-driven Koopman spectral analysis in Vandermonde-Cauchy form via the DFT: numerical method and theoretical insights“. SIAM Journal on Scientific Computing 41 (5),  A3118-A3151. 2019.

Drmač, I. Mezić, R. Mohr: “Data driven modal decompositions: analysis and enhancements“, SIAM Journal on Scientific Computing, 40 (4) (2018),  A2253–A2285. 2018.

Fonoberova, I. Mezic, J. Mezic, R. Mohr. “An agent-based model of urban insurgence: Effect of gathering sites and Koopman mode analysis“, PLOS ONE 13(10): e0205259, 2018. https://doi.org/10.1371/journal.pone.0205259

F. Buckman, E. G. Vaschillo, M. Fonoberova, I. Mezic, M. E. Bates. “The Translational Value of Psychophysiology Methods and Mechanisms: Multilevel, Dynamic, Personalized“, Journal of Studies on Alcohol and Drugs, 79(2), 229–238, 2018.

Glaz, I. Mezic, M. Fonoberova, S. Loire. “Quasi-periodic intermittency in oscillating cylinder flow“, J. Fluid Mech., vol. 828, pp. 680–707, 2017. doi:10.1017/jfm.2017.530