Maria Fonoberova

According to our database, Maria Fonoberova authored at least 18 papers between 2004 and 2024.

Collaborative distances:

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

2024

Koopman-driven grip force prediction through EMG sensing.

Tomislav Bazina, Ervin Kamenar, Maria Fonoberova, Igor Mezic

CoRR, 2024

2023

Koopman Learning with Episodic Memory.

William T. Redman, Dean Huang, Maria Fonoberova, Igor Mezic

CoRR, 2023

On Equivalent Optimization of Machine Learning Methods.

William T. Redman, Juan M. Bello-Rivas, Maria Fonoberova, Ryan Mohr, Ioannis G. Kevrekidis, Igor Mezic

CoRR, 2023

2022

An Operator Theoretic View On Pruning Deep Neural Networks.

William T. Redman, Maria Fonoberova, Ryan Mohr, Yannis G. Kevrekidis, Igor Mezic

Proceedings of the Tenth International Conference on Learning Representations, 2022

Algorithmic (Semi-)Conjugacy via Koopman Operator Theory.

William T. Redman, Maria Fonoberova, Ryan Mohr, Ioannis G. Kevrekidis, Igor Mezic

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021

Predicting the Critical Number of Layers for Hierarchical Support Vector Regression.

Ryan Mohr, Maria Fonoberova, Zlatko Drmac, Iva Manojlovic, Igor Mezic

Entropy, 2021

An Operator Theoretic Perspective on Pruning Deep Neural Networks.

William T. Redman, Maria Fonoberova, Ryan Mohr, Ioannis G. Kevrekidis, Igor Mezic

CoRR, 2021

Game Balancing using Koopman-based Learning.

Allan M. Avila, Maria Fonoberova, João P. Hespanha, Igor Mezic, Daniel Clymer, Jonathan Goldstein, Marco A. Pravia, Daniel Javorsek

Proceedings of the 2021 American Control Conference, 2021

Applications of Koopman Mode Analysis to Neural Networks.

Ryan Mohr, Maria Fonoberova, Iva Manojlovic, Aleksandr Andrejcuk, Zlatko Drmac, Yannis G. Kevrekidis, Igor Mezic

Proceedings of the AAAI 2021 Spring Symposium on Combining Artificial Intelligence and Machine Learning with Physical Sciences, Stanford, CA, USA, March 22nd - to, 2021

Combining Programmable Potentials and Neural Networks for Materials Problems.

Ryan Mohr, Allan M. Avila, Soham Ghosh, Ananta Bhattarai, Muqiao Yang, Xintian Feng, Martin Head-Gordon, Ruslan Salakhutdinov, Maria Fonoberova, Igor Mezic

Proceedings of the AAAI 2021 Spring Symposium on Combining Artificial Intelligence and Machine Learning with Physical Sciences, Stanford, CA, USA, March 22nd - to, 2021

2020

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

Carl Folkestad, Daniel Pastor, Igor Mezic, Ryan Mohr, Maria Fonoberova, Joel Burdick

Proceedings of the 2020 American Control Conference, 2020

2019

Spectral Complexity of Directed Graphs and Application to Structural Decomposition.

Igor Mezic, Vladimir A. Fonoberov, Maria Fonoberova, Tuhin Sahai

Complex., 2019

2013

Global sensitivity/uncertainty analysis for agent-based models.

Maria Fonoberova, Vladimir A. Fonoberov, Igor Mezic

Reliab. Eng. Syst. Saf., 2013

2012

Nonlinear Dynamics of Crime and Violence in Urban Settings.

Maria Fonoberova, Vladimir A. Fonoberov, Igor Mezic, Jadranka Mezic, P. Jeffrey Brantingham

J. Artif. Soc. Soc. Simul., 2012

2006

Optimal Dynamic Multicommodity Flows in Networks.

Dmitrii Lozovanu, Maria Fonoberova

Electron. Notes Discret. Math., 2006

2005

Game-Theoretic Approach for Solving Multiobjective Flow Problems on Networks.

Maria Fonoberova, Dmitrii Lozovanu

Comput. Sci. J. Moldova, 2005

The minimum cost multicommodity flow problem in dynamic networks and an algorithm for its solving.

Maria Fonoberova, Dmitrii Lozovanu

Comput. Sci. J. Moldova, 2005

2004

The maximum flow in dynamic networks.

Maria Fonoberova, Dmitrii Lozovanu

Comput. Sci. J. Moldova, 2004