Academic research

A personal webpage used to host my academic work.

Selected work

M.Hauser, S. Gunn, S. Saab and A. Ray, "State Space Representations of Deep Neural Networks, " arXiv (preprint) June, 2018

M.Hauser and A. Ray, "Principles of Riemannian Geometry in Neural Networks, " Advances in Neural Information Processing Systems (NIPS) in Long Beach, California December 2017

Additional work

M.Hauser, Y. Fu, S. Phoha and A. Ray, " Neural Probabilistic Forecasting of Symbol Sequences with LSTM," ASME Dynamic Systems and Control Division (DSCD)

M.Hauser, Y. Fu, Y. Li, S. Phoha and A. Ray, " Probabilistic forecasting of symbol sequences with deep neural networks," American Controls Conference (ACC) in Seattle, Washington July 2017"

M.Hauser, Y. Li, S. Phoha and A. Ray, " Realtime combustion state identification via image processing: A dynamic data-driven approach," American Controls Conference (ACC) in Boston, Massachusetts, July 2016

M.Hauser and K. Vafai, " Analysis of the multidimensional effects in biofilm," International Journal of Heat and Mass Transfer Elsevier, vol. 56. no. 1, pp. 340-349, Jan 2013.

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