M. Fonoberova

发表

A computational physiology approach to personalized treatment models: the beneficial effects of slow breathing on the human cardiovascular system.

Maria Fonoberova, Igor Mezić, Bronya Vaschillo, 2014, American journal of physiology. Heart and circulatory physiology.

The Translational Value of Psychophysiology Methods and Mechanisms: Multilevel, Dynamic, Personalized.

I. Mezić, M. Bates, E. Vaschillo, 2018, Journal of studies on alcohol and drugs.

Exponentially decaying modes and long-term prediction of sea ice concentration using Koopman mode decomposition

I. Mezić, M. Fonoberova, James C. Hogg, 2019, Scientific Reports.

Koopman Reduced Order Modeling with Confidence Bounds

I. Mezić, Ryan Mohr, M. Fonoberova, 2022, 2209.13127.

Algorithmic (Semi-)Conjugacy via Koopman Operator Theory

William T. Redman, I. Mezić, I. Kevrekidis, 2022, 2022 IEEE 61st Conference on Decision and Control (CDC).

Small-world networks and synchronisation in an agent-based model of civil violence

Maria Fonoberova, Igor Mezic, Jason Gravel, 2019, Global Crime.

Predicting the Critical Number of Layers for Hierarchical Support Vector Regression

Maria Fonoberova, Igor Mezić, Ryan Mohr, 2020, Entropy.

The Redistribution of Power: Neurocardiac Signaling, Alcohol and Gender

I. Mezić, M. Bates, V. A. Fonoberov, 2011, PloS one.

Spectral Complexity of Directed Graphs and Application to Structural Decomposition

Maria Fonoberova, Igor Mezic, Tuhin Sahai, 2018, Complex..

Algorithms for Finding Optimal Flows in Dynamic Networks

Maria Fonoberova, M. Fonoberova, 2010 .

An agent-based model of urban insurgence: Effect of gathering sites and Koopman mode analysis

Maria Fonoberova, Igor Mezić, Jadranka Mezić, 2018, PloS one.

Koopman Mode Analysis of agent-based models of logistics processes

Maria Fonoberova, Igor Mezić, Ryan Mohr, 2019, PloS one.

Optimal Flows in Dynamic Networks and Algorithms for their Finding

Maria Fonoberova, M. Fonoberova, 2012 .

On determining the minimum cost flows in dynamic networks

M. Fonoberova, 2006 .

Nonlinear Dynamics of Crime and Violence in Urban Settings

Maria Fonoberova, Igor Mezic, P. Jeffrey Brantingham, 2012, J. Artif. Soc. Soc. Simul..

Optimal Dynamic Multicommodity Flows in Networks

Dmitrii Lozovanu, Maria Fonoberova, D. Lozovanu, 2006, Electron. Notes Discret. Math..

The saturation function of complete partite graphs

Maria Fonoberova, Tom Bohman, Oleg Pikhurko, 2010 .

Quasi-periodic intermittency in oscillating cylinder flow

Bryan Glaz, Maria Fonoberova, Igor Mezić, 2016, Journal of Fluid Mechanics.

Extended Dynamic Mode Decomposition with Learned Koopman Eigenfunctions for Prediction and Control

I. Mezić, J. Burdick, Ryan Mohr, 2019, 2020 American Control Conference (ACC).

Combining Programmable Potentials and Neural Networks for Materials Problems

I. Mezić, R. Salakhutdinov, M. Head‐Gordon, 2021, AAAI Spring Symposium: MLPS.

A Koopman operator-based prediction algorithm and its application to COVID-19 pandemic and influenza cases

I. Mezić, Z. Drmač, Ryan Mohr, 2023, Scientific reports.

On Equivalent Optimization of Machine Learning Methods

Juan M. Bello-Rivas, William T. Redman, I. Kevrekidis, 2023, ArXiv.

An Operator Theoretic View On Pruning Deep Neural Networks

William T. Redman, I. Mezić, Ryan Mohr, 2021, ICLR.

Game Balancing using Koopman-based Learning

João Pedro Hespanha, Maria Fonoberova, Igor Mezic, 2021, 2021 American Control Conference (ACC).

Applications of Koopman Mode Analysis to Neural Networks pdf

Maria Fonoberova, Zlatko Drmac, Ioannis G. Kevrekidis, 2020, AAAI Spring Symposium: MLPS.

An Operator Theoretic Perspective on Pruning Deep Neural Networks pdf

Maria Fonoberova, Igor Mezic, Ioannis G. Kevrekidis, 2021, ArXiv.

Minimum Cost Multicommodity Flows in Dynamic Networks and Algorithms for their Finding

Dmitrii Lozovanu, Maria Fonoberova, D. Lozovanu, 2007 .

Global sensitivity/uncertainty analysis for agent-based models

Maria Fonoberova, Igor Mezic, Vladimir A. Fonoberov, 2013, Reliab. Eng. Syst. Saf..

The maximum flow in dynamic networks

Dmitrii Lozovanu, Maria Fonoberova, D. Lozovanu, 2004, Comput. Sci. J. Moldova.

Koopman Learning with Episodic Memory

William T. Redman, M. Fonoberova, Igor Mezi'c, 2023, 2311.12615.

Model reduction for agent-based social simulation: coarse-graining a civil violence model.

Maria Fonoberova, Igor Mezic, Yu Zou, 2012, Physical review. E, Statistical, nonlinear, and soft matter physics.

Identifying Equivalent Training Dynamics

William T. Redman, I. Kevrekidis, Ryan Mohr, 2023, 2302.09160.

Extended Dynamic Mode Decomposition with Learned Koopman Eigenfunctions for Prediction and Control

I. Mezić, J. Burdick, Ryan Mohr, 2019, 2020 American Control Conference (ACC).