Towards adopting a tooldriven, integrated and automated change management process for virtual machine provisioning. - Michael Hauser (Integrated Network Management, 2011)

A wavelet Whittle estimator of generalized long-memory stochastic volatility. - Alex C. Gonzaga; Michael Hauser (Stat. Methods Appl., 2011)

Real-time combustion state identification via image processing: A dynamic data-driven approach. - Michael Hauser; Yue Li 014; Jihang Li; Asok Ray (ACC, 2016)

Probabilistic forecasting of symbol sequences with deep neural networks. - Michael Hauser; Yiwei Fu; Yue Li 014; Shashi Phoha; Asok Ray (ACC, 2017)

Principles of Riemannian Geometry in Neural Networks. - Michael Hauser; Asok Ray (NIPS, 2017)

On Residual Networks Learning a Perturbation from Identity. - Michael Hauser (CoRR, 2019)

Training capsules as a routing-weighted product of expert neurons. - Michael Hauser (CoRR, 2019)

Training products of expert capsules with mixing by dynamic routing. - Michael Hauser (CoRR, 2019)

A Dynamically Controlled Recurrent Neural Network for Modeling Dynamical Systems. - Yiwei Fu; Samer Saab Jr.; Asok Ray; Michael Hauser (CoRR, 2019)

State-Space Representations of Deep Neural Networks. - Michael Hauser; Sean Gunn; Samer Saab Jr.; Asok Ray (Neural Comput., 2019)

Multivariable Nonadaptive Controller Design. - Samer Said Saab Jr.; Michael Hauser; Asok Ray; Samer S. Saab 001 (IEEE Trans. Ind. Electron., 2021)

A Dynamically Stabilized Recurrent Neural Network. - Samer Saab 002; Yiwei Fu; Asok Ray; Michael Hauser (Neural Process. Lett., 2022)

Indirect Time-of-Flight with GHz Correlation Frequency and Integrated SPAD Reaching Sub-100 µm Precision in 0.35 µm CMOS. - Michael Hauser; Horst Zimmermann; Michael Hofbauer (Sensors, 2023)