Reconstruction algorithms for photoacoustic tomography in heterogenous damping media L. V. Nguyen, M. Haltmeier Submitted, 2018 [pdf ]
DALnet: High-resolution photoacoustic projection imaging using deep learning J. Schwab, S. Antholzer, R. Nuster and M. Haltmeier Submitted, 2018 [pdf ] [arxiv.org]
A New Sparsification and Reconstruction Strategy for Compressed Sensing Photoacoustic Tomography M. Haltmeier, M. Sandbichler, T. Berer, J. Bauer-Marschallinger, P. Burgholzer, L. Nguyen Submitted, 2017 [pdf] [arxiv.org]
A Framework for Compressive Time-of Flight 3D Sensing S. Antholzer, C. Wolf, M. Sandbichler, M. Dielacher and M. Haltmeier Submitted, 2017 [pdf ] [arxiv.org]
The quasi-optimality criterion in the linear functional strategy S. Kindermann, S. Pereverzyev Jr., A. Pilipenko Submitted, 2017[pdf] [arxiv.org]
Regularized Nyström subsampling in regression and ranking problems under general smoothness assumptions G.L. Myleiko, S. Pereverzyev Jr., S.G. Solodky Submitted, 2017 [pdf]
On the configuration space of planar Closed kinematic Chains G. Zangerl Submitted, 2017 [pdf ]
Operator learning approach for the limited view problem in photoacoustic tomography F. Dreier, S. Pereverzyev Jr., M. Haltmeier Submitted, 2017 [pdf] [arxiv.org]x
Sequential Learning of Analysis Operators M. Sandbichler, K. Schnass Submitted, 2017 [pdf ] [arxiv.org]
Dictionary Learning from Incomplete Data V. Naumova, K. Schnass Submitted, 2017 [pdf ] [arxiv.org]
Deep Learning for Photoacoustic Tomography from Sparse Data S. Antholzer, M. Haltmeier, J. Schwab Submitted, 2017 [pdf] [arxiv.org]
A Machine Learning Framework for Customer Purchase Prediction in the Non-Contractual Setting A. Martínez, C. Schmuck, S. Pereverzyev Jr., C. Pirker, M. Haltmeier, Submitted, 2016 [pdf ]
Convergence radius and sample complexity of ITKM algorithms for dictionary learning K. Schnass Submitted, 2016 [pdf ]