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Ryan Mohr
Publication Activity (10 Years)
Years Active: 2010-2023
Publications (10 Years): 18
Top Topics
Support Vector
Machine Learning
Neural Network
Least Squares
Top Venues
CoRR
SIAM J. Sci. Comput.
SIAM J. Appl. Dyn. Syst.
AAAI Spring Symposium: MLPS
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Publications
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William T. Redman
,
Juan M. Bello-Rivas
,
Maria Fonoberova
,
Ryan Mohr
,
Ioannis G. Kevrekidis
,
Igor Mezic
On Equivalent Optimization of Machine Learning Methods.
CoRR
(2023)
William T. Redman
,
Maria Fonoberova
,
Ryan Mohr
,
Ioannis G. Kevrekidis
,
Igor Mezic
Algorithmic (Semi-)Conjugacy via Koopman Operator Theory.
CDC
(2022)
William T. Redman
,
Maria Fonoberova
,
Ryan Mohr
,
Yannis G. Kevrekidis
,
Igor Mezic
An Operator Theoretic View On Pruning Deep Neural Networks.
ICLR
(2022)
William T. Redman
,
Maria Fonoberova
,
Ryan Mohr
,
Ioannis G. Kevrekidis
,
Igor Mezic
Algorithmic (Semi-)Conjugacy via Koopman Operator Theory.
CoRR
(2022)
Ryan Mohr
,
Maria Fonoberova
,
Iva Manojlovic
,
Aleksandr Andrejcuk
,
Zlatko Drmac
,
Yannis Kevrekidis
,
Igor Mezic
Applications of Koopman Mode Analysis to Neural Networks.
AAAI Spring Symposium: MLPS
(2021)
Ryan Mohr
,
Allan M. Avila
,
Soham Ghosh
,
Ananta Bhattarai
,
Muqiao Yang
,
Xintian Feng
,
Martin Head-Gordon
,
Ruslan Salakhutdinov
,
Maria Fonoberova
,
Igor Mezic
Combining Programmable Potentials and Neural Networks for Materials Problems.
AAAI Spring Symposium: MLPS
(2021)
Ryan Mohr
,
Maria Fonoberova
,
Zlatko Drmac
,
Iva Manojlovic
,
Igor Mezic
Predicting the Critical Number of Layers for Hierarchical Support Vector Regression.
Entropy
23 (1) (2021)
William T. Redman
,
Maria Fonoberova
,
Ryan Mohr
,
Ioannis G. Kevrekidis
,
Igor Mezic
An Operator Theoretic Perspective on Pruning Deep Neural Networks.
CoRR
(2021)
Nithin Govindarajan
,
Ryan Mohr
,
Shivkumar Chandrasekaran
,
Igor Mezic
On the Approximation of Koopman Spectra of Measure-Preserving Flows.
SIAM J. Appl. Dyn. Syst.
20 (1) (2021)
Carl Folkestad
,
Daniel Pastor
,
Igor Mezic
,
Ryan Mohr
,
Maria Fonoberova
,
Joel Burdick
Extended Dynamic Mode Decomposition with Learned Koopman Eigenfunctions for Prediction and Control.
ACC
(2020)
Zlatko Drmac
,
Igor Mezic
,
Ryan Mohr
On Least Squares Problems with Certain Vandermonde-Khatri-Rao Structure with Applications to DMD.
SIAM J. Sci. Comput.
42 (5) (2020)
Ryan Mohr
,
Maria Fonoberova
,
Zlatko Drmac
,
Iva Manojlovic
,
Igor Mezic
Predicting the Critical Number of Layers for Hierarchical Support Vector Regression.
CoRR
(2020)
Iva Manojlovic
,
Maria Fonoberova
,
Ryan Mohr
,
Aleksandr Andrejcuk
,
Zlatko Drmac
,
Yannis Kevrekidis
,
Igor Mezic
Applications of Koopman Mode Analysis to Neural Networks.
CoRR
(2020)
Carl Folkestad
,
Daniel Pastor
,
Igor Mezic
,
Ryan Mohr
,
Maria Fonoberova
,
Joel Burdick
Extended Dynamic Mode Decomposition with Learned Koopman Eigenfunctions for Prediction and Control.
CoRR
(2019)
Nithin Govindarajan
,
Ryan Mohr
,
Shivkumar Chandrasekaran
,
Igor Mezic
On the Approximation of Koopman Spectra for Measure Preserving Transformations.
SIAM J. Appl. Dyn. Syst.
18 (3) (2019)
Zlatko Drmac
,
Igor Mezic
,
Ryan Mohr
Data Driven Koopman Spectral Analysis in Vandermonde-Cauchy Form via the DFT: Numerical Method and Theoretical Insights.
SIAM J. Sci. Comput.
41 (5) (2019)
Zlatko Drmac
,
Igor Mezic
,
Ryan Mohr
On least squares problems with certain Vandermonde-Khatri-Rao structure with applications to DMD.
CoRR
(2018)
Zlatko Drmac
,
Igor Mezic
,
Ryan Mohr
Data Driven Modal Decompositions: Analysis and Enhancements.
SIAM J. Sci. Comput.
40 (4) (2018)
Ryan Mohr
,
Igor Mezic
Searching for Targets of Nonuniform Size Using Mixing Transformations: Constructive Upper Bounds and Limit Laws.
J. Nonlinear Sci.
25 (3) (2015)
Ryan Mohr
,
Igor Mezic
The use of ergodic theory in designing dynamics for search problems.
CDC
(2010)