31mar19 28feb19 26jan19## Papers submitted to MMLS

\begin{document} \maketitle Proctor, Joshua, Steven Brunton, Nathan Kutz "Generalizing Koopman Theory to Allow for Inputs and Control" SADS (2018) v.17 pp.909-930"<\a>

Bernard Osgood Koopman "Hamiltonian systems and transformations in Hilbert Space" PNAS (1931) v.17 pp.315-318

Sahand Hariri, A model of infection as a cellular automaton in C++/OpenGL", project MA595/597 U Illinois 2015

Kozma++ "Modeling learning and strategy formations as phase transition in cortical networks" IEEE Conf. Systems, Man, and Cybernetics, Budapest, 2016

Baydin++ "Automatic Differentiation in Machine Learning: a Survey" J. ML Research 18 (2018) 1-43

Ben-David++ "Learnability can be undecidable" Nature Mach. Intel. volume 1, pages44–48 (2019)

Cheng++ "Polynomial regression as an alternative neural nets" arXiv 29jun2018

Rumelhart++ "Learning representations by back-propagating errors" Nature vol. 323 October 1986

LeCun "A theoretical framework for back-propagation" in Touretzky++ eds Proc. 1988 Connectionist Models Summer School, CMU 1988

Kulkarni++ "Picture: A probabilistic programming language for scene perception" online ms 1999

\end{document}