Distributed orthogonalization in large interference relay networks. - Veniamin I. Morgenshtern; Helmut Bölcskei; Rohit U. Nabar (ISIT, 2005)

Crystallization in Large Wireless Networks. - Veniamin I. Morgenshtern; Helmut Bölcskei (IEEE Trans. Inf. Theory, 2007)

On the sensitivity of noncoherent capacity to the channel model. - Giuseppe Durisi; Veniamin I. Morgenshtern; Helmut Bölcskei (ISIT, 2009)

The SIMO pre-log can be larger than the SISO pre-log. - Veniamin I. Morgenshtern; Giuseppe Durisi; Helmut Bölcskei (ISIT, 2010)

Noncoherent SIMO pre-log via resolution of singularities. - Erwin Riegler; Veniamin I. Morgenshtern; Giuseppe Durisi; Shaowei Lin; Bernd Sturmfels; Helmut Bölcskei (ISIT, 2011)

Capacity pre-log of SIMO correlated block-fading channels. - Wei Yang 001; Giuseppe Durisi; Veniamin I. Morgenshtern; Erwin Riegler (ISWCS, 2011)

A Short Course on Frame Theory - Veniamin I. Morgenshtern; Helmut Bölcskei (CoRR, 2011)

Sensitivity of Noncoherent WSSUS Fading Channel Capacity - Giuseppe Durisi; Veniamin I. Morgenshtern; Helmut Bölcskei (CoRR, 2011)

A lower bound on the noncoherent capacity pre-log for the MIMO channel with temporally correlated fading. - Günther Koliander; Erwin Riegler; Giuseppe Durisi; Veniamin I. Morgenshtern; Franz Hlawatsch (Allerton Conference, 2012)

On the Sensitivity of Continuous-Time Noncoherent Fading Channel Capacity. - Giuseppe Durisi; Veniamin I. Morgenshtern; Helmut Bölcskei (IEEE Trans. Inf. Theory, 2012)

Capacity Pre-Log of Noncoherent SIMO Channels Via Hironaka's Theorem. - Veniamin I. Morgenshtern; Erwin Riegler; Wei Yang 001; Giuseppe Durisi; Shaowei Lin; Bernd Sturmfels; Helmut Bölcskei (IEEE Trans. Inf. Theory, 2013)

Super-Resolution Radar. - Reinhard Heckel; Veniamin I. Morgenshtern; Mahdi Soltanolkotabi (CoRR, 2014)

Super-Resolution of Positive Sources: The Discrete Setup. - Veniamin I. Morgenshtern; Emmanuel J. Candès (SIAM J. Imaging Sci., 2016)

Region segmentation via deep learning and convex optimization. - Matthias Sonntag; Veniamin I. Morgenshtern (CoRR, 2019)

Super-Resolution of Positive Sources on an Arbitrarily Fine Grid. - Veniamin I. Morgenshtern (CoRR, 2020)

Novel Techniques for Void Filling in Glacier Elevation Change Data Sets. - Thorsten Seehaus; Veniamin I. Morgenshtern; Fabian Hübner; Eberhard Bänsch; Matthias H. Braun (Remote. Sens., 2020)

Fricative Phoneme Detection Using Deep Neural Networks and its Comparison to Traditional Methods. - Metehan Yurt; Pavan Kantharaju; Sascha Disch; Andreas Niedermeier; Alberto N. Escalante-B.; Veniamin I. Morgenshtern (Interspeech, 2021)

Scattering Transform Based Image Clustering using Projection onto Orthogonal Complement. - Angel Villar-Corrales; Veniamin I. Morgenshtern (ICDAR@ICMR, 2021)

A Self-Trained Model for Cloud, Shadow and Snow Detection in Sentinel-2 Images of Snow- and Ice-Covered Regions. - Kamal Gopikrishnan Nambiar; Veniamin I. Morgenshtern; Philipp Hochreuther; Thorsten Seehaus; Matthias Holger Braun (Remote. Sens., 2022)

Region-of-Interest Prioritised Sampling for Constrained Autonomous Exploration Systems. - Protim Bhattacharjee; Martin Burger 001; Anko Börner; Veniamin I. Morgenshtern (IEEE Trans. Computational Imaging, 2022)