Peter Steinbach

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 17

Top Topics

Benchmark Suite

Maximum A Posteriori Estimation

Heterogeneous Platforms

Top Venues

Publications

Qasim M. K. Siddiqui, Sebastian Starke, Peter Steinbach
Uncertainty Estimation in Instance Segmentation with Star-convex Shapes. WACV (2024)
Marie Piraud, Andrés Camero, Markus Götz, Stefan Kesselheim, Peter Steinbach, Tobias Weigel
Providing AI expertise as an infrastructure in academia. Patterns 4 (8) (2023)
Qasim M. K. Siddiqui, Sebastian Starke, Peter Steinbach
Uncertainty Estimation in Instance Segmentation with Star-convex Shapes. CoRR (2023)
André Homeyer, Christian Geißler, Lars Ole Schwen, Falk Zakrzewski, Theodore Evans, Klaus Strohmenger, Max Westphal, Roman David Bülow, Michaela Kargl, Aray Karjauv, Isidre Munné-Bertran, Carl Orge Retzlaff, Adrià Romero-López, Tomasz Soltysinski, Markus Plass, Rita Carvalho, Peter Steinbach, Yu-Chia Lan, Nassim Bouteldja, David Haber, Mateo Rojas-Carulla, Alireza Vafaei Sadr, Matthias Kraft, Daniel Krüger, Rutger Fick, Tobias Lang, Peter Boor, Heimo Müller, Peter Hufnagl, Norman Zerbe
Recommendations on test datasets for evaluating AI solutions in pathology. CoRR (2022)
Florian Huber, Erica Dafne van Kuppevelt, Peter Steinbach, Colin Sauze, Yang Liu, Berend Weel
Will the sun shine? - An accessible dataset for teaching machine learning and deep learning. Teaching ML (2022)
Danush Kumar Venkatesh, Peter Steinbach
Detecting Adversarial Examples in Batches - a geometrical approach. CoRR (2022)
Peter Steinbach, Felicita Gernhardt, Mahnoor Tanveer, Steve Schmerler, Sebastian Starke
Machine Learning State-of-the-Art with Uncertainties. CoRR (2022)
Oliver Guhr, Katherine M. Kinnaird, Peter Steinbach
Teaching ML in 2021 - An Overview and Introduction. Teaching ML (2021)
Julius Kirfel, Stefan Hinck, Juliane Renner, Arshnoor Singh, Peter Steinbach, Arno Ruckelshausen
Motivation und Konzept zur boden- und luftgestützten Detektion von Virosen in der Pflanzgutproduktion von Stärkekartoffeln. GIL Jahrestagung (2021)
Sebastian Starke, Dominik Thalmeier, Peter Steinbach, Marie Piraud
A Hybrid Radiomics Approach to Modeling Progression-Free Survival in Head and Neck Cancers. HECKTOR@MICCAI (2021)
Peter Steinbach, Heidi Seibold, Oliver Guhr
Teaching Machine Learning in 2020. Teaching ML (2020)
Helge Knoop, Tobias Gronemeier, Matthias Sühring, Peter Steinbach, Matthias Noack, Florian Wende, Thomas Steinke, Christoph Knigge, Siegfried Raasch, Klaus Ketelsen
Porting the MPI-parallelised LES model PALM to multi-GPU systems and many integrated core processors - an experience report. Int. J. Comput. Sci. Eng. 17 (3) (2018)
Peter Steinbach, Matthias Werner
gearshifft - The FFT Benchmark Suite for Heterogeneous Platforms. ISC (2017)
Peter Steinbach, Matthias Werner
gearshifft - The FFT Benchmark Suite for Heterogeneous Platforms. CoRR (2017)
Helge Knoop, Tobias Gronemeier, Christoph Knigge, Peter Steinbach
Porting the MPI Parallelized LES Model PALM to Multi-GPU Systems - An Experience Report. ISC Workshops (2016)
Christopher Schmied, Peter Steinbach, Tobias Pietzsch, Stephan Preibisch, Pavel Tomancak
An automated workflow for parallel processing of large multiview SPIM recordings. Bioinform. 32 (7) (2016)
Stefan Kluth, Maria Grazia Pia, Thomas Schoerner-Sadenius, Peter Steinbach
How do particle physicists learn the programming concepts they need? CoRR (2015)