Drude L, Hasenklever D, Haeb-Umbach R. Unsupervised Training of a Deep Clustering Model for Multichannel Blind Source Separation. In: ICASSP 2019, Brighton, UK. ; 2019.

Heymann J, Drude L, Haeb-Umbach R, Kinoshita K, Nakatani T. Joint Optimization of Neural Network-based WPE Dereverberation and Acoustic Model for Robust Online ASR. In: ICASSP 2019, Brighton, UK. ; 2019.

Kurz G, Gilitschenski I, Pfaff F, et al. Directional Statistics and Filtering Using libDirectional. In: Journal of Statistical Software 89(4). ; 2019.

Afifi H, Karl H, Eikenberg S, et al. A Rapid Prototyping for Wireless Virtual Network Embedding using MARVELO. In: 2019 IEEE Wireless Communications and Networking Conference (WCNC) (IEEE WCNC 2019) (Demo). Marrakech, Morocco; 2019.

Drude L, Haeb-Umbach R. Integration of Neural Networks and Probabilistic Spatial Models for Acoustic Blind Source Separation. IEEE Journal of Selected Topics in Signal Processing. 2019. doi:10.1109/JSTSP.2019.2912565

Hammer M, Ebers L, Förstner J. Oblique quasi-lossless excitation of a thin silicon slab waveguide: a guided-wave variant of an anti-reflection coating. Journal of the Optical Society of America B. 2019;36:2395. doi:10.1364/josab.36.002395

Peuster M, Schneider SB, Karl H. The Softwarised Network Data Zoo. In: IEEE/IFIP 15th International Conference on Network and Service Management (CNSM). Halifax: IEEE/IFIP; 2019.

Moro D, Peuster M, Karl H, Capone A. FO: Function Offloading Prototyping in Heterogeneous and Programmable Network Scenarios. In: IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN). Dallas: IEEE; 2019.

Moro D, Peuster M, Karl H, Capone A. Demonstrating FO: A Flexible Platform to Prototype NFV Offloading Scenarios. In: IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN). Dallas: IEEE; 2019.

Baumeister J. New Quick And Easy Publication - Will be edited by LibreCat team. Quick And Easy Journal Title. 2019.