Academic research
A personal webpage used to host my academic work.
Dynamical Systems and Geometry
M.Hauser, S. Gunn, S. Saab and A. Ray,
"State Space Representations of Deep Neural Networks, "
Neural Computation
February, 2019
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
M.Hauser,
"On Residual Networks Learning a Perturbation from Identity, "
arXiv (preprint)
Februrary 2019
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
Probabilistic Forecasting
M.Hauser, Y. Fu, S. Phoha and A. Ray,
" Neural Probabilistic Forecasting of Symbol Sequences with LSTM,"
ASME Journal of Dynamical Systems, Measurement and Control in August, 2018
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"
Density Estimation
M.Hauser,
" Training capsules as a routing-weighted product of expert neurons,"
arXiv (preprint)
June 2019
M.Hauser,
" Training products of expert capsules with mixing by dynamic routing,"
arXiv (preprint)
June 2019
Computational Fluid Dynamics
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.
Computational Linguistics
M.Hauser, E. Sariyanidi, B. Tunc, C. Zampella, E. Brodkin, R. Schultz, J. Parish-Morris
" Using natural conversations to classify autism with limited data: Age matters,"
Computational Linguistics and Clinical Psychology (ACL CLPsych)
in Minneapolis, Minnesota June 2019