University of Bamberg
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Information Systems and Applied Computer Sciences

Professorship for Data Engineering

  1.  University of bamberg
  2. Faculties
  3. Information Systems and Applied Computer Sciences
  4. Subject groups
  5. Computer Science
  6. Professorship for Data Engineering
  7. Research
  8. Publications

Publications

For a full list of publications please conduct dblp or Google Scholar.

  • Maximilian E. Schüle, Harald Lang, Maximilian Springer, Alfons Kemper, Thomas Neumann, Stephan Günnemann:  Recursive SQL and GPU-support for in-database machine learning (Distributed and Parallel Databases: Scientific and Statistical Data Management in the Age of AI 2021)
  • Maximilian E. Schüle: Modern SQL for Knowledge Discovery and Dataset Versioning Dissertation, Technische Universität München, Dezember 2021
  • Maximilian E. Schüle, Luca Scalerandi, Alfons Kemper, Thomas Neumann: Blue Elephants Inspecting Pandas: Inspection and Execution of Machine Learning Pipelines in SQL (26th International Conference on Extending Database Technology (EDBT 2023))
  • Maximilian E. Schüle, Alfons Kemper, Thomas Neumann: Recursive SQL for Data Mining (34th International Conference on Scientific and Statistical Database Management (SSDBM 2022))
  • Maximilian E. Schüle, Maximilian Springer, Alfons Kemper, Thomas Neumann: LLVM Code Optimisation for Automatic Differentiation (6th Workshop on Data Management for End-to-End Machine Learning (DEEM@SIGMOD 2022))
  • Josef Schmeißer, Maximilian E. Schüle, Viktor Leis, Thomas Neumann, Alfons Kemper: B²-Tree: Page-Based String Indexing in Concurrent Environments (Datenbank-Spektrum Feburary 2022, Volume 21, Issue 3)
  • Maximilian E. Schüle, Tobias Götz, Alfons Kemper, Thomas Neumann: ArrayQL Integration into Code-Generating Database Systems (25th International Conference on Extending Database Technology (EDBT 2022))
  • Magdalena Pröbstl, Philipp Fent, Maximilian E. Schüle, Moritz Sichert, Thomas Neumann and Alfons Kemper: One Buffer Manager to Rule Them All: Using Distributed Memory with Cache Coherence over RDMA (12th International Workshop on Accelerating Analytics and Data Management Systems (ADMS@VLDB 2021))
  • Maximilian E. Schüle, Tobias Götz, Alfons Kemper, Thomas Neumann: ArrayQL for Linear Algebra within Umbra (33rd International Conference on Scientific and Statistical Database Management (SSDBM 2021))
  • Maximilian E. Schüle, Harald Lang, Maximilian Springer, Alfons Kemper, Thomas Neumann, Stephan Günnemann: In-Database Machine Learning with SQL on GPUs (33rd International Conference on Scientific and Statistical Database Management (SSDBM 2021))
  • Maximilian E. Schüle, Josef Schmeißer, Thomas Blum, Alfons Kemper, Thomas Neumann: TardisDB: Extending SQL to Support Versioning (ACM SIGMOD International Conference on Management of Data (SIGMOD 2021))
  • Lukas Karnowski, Maximilian E. Schüle, Alfons Kemper, Thomas Neumann: Umbra as a Time Machine: Adding a Versioning Type to SQL (19th symposium of "Database systems for Business, Technology and Web" (BTW 2021))
  • Josef Schmeißer, Maximilian E. Schüle, Viktor Leis, Thomas Neumann, Alfons Kemper: B²-Tree: Cache-Friendly String Indexing within B-Trees. (19th symposium of "Database systems for Business, Technology and Web" (BTW 2021))
  • Maximilian E. Schüle, Alex Kulikov, Alfons Kemper, Thomas Neumann: ARTful Skyline Computation for In-Memory Database Systems (24th European Conference on Advances in Databases and Information Systems (ADBIS 2020))
  • Maximilian E. Schüle, Jakob Huber, Alfons Kemper, Thomas Neumann: Freedom for the SQL-Lambda: Just-in-Time-Compiling User-Injected Functions in PostgreSQL (32nd International Conference on Scientific and Statistical Database Management (SSDBM 2020))
  • Maximilian E. Schüle, Lukas Karnowski, Josef Schmeißer, Alfons Kemper, Thomas Neumann: Versioning in Main-Memory Database Systems: From MusaeusDB to TardisDB (31st International Conference on Scientific and Statistical Database Management (SSDBM 2019))
  • Maximilian E. Schüle, Matthias Bungeroth, Alfons Kemper, Stephan Günnemann, Thomas Neumann: MLearn: A Declarative Machine Learning Language for Database Systems (3rd Workshop on Data Management for End-to-End Machine Learning (DEEM@SIGMOD 2019))
  • Maximilian E. Schüle, Matthias Bungeroth, Dimitri Vorona, Alfons Kemper, Stephan Günnemann, Thomas Neumann: ML2SQL - Compiling a Declarative Machine Learning Language to SQL and Python (22nd International Conference on Extending Database Technology (EDBT 2019))
  • Maximilian E. Schüle, Dimitri Vorona, Linnea Passing, Harald Lang, Alfons Kemper, Stephan Günnemann, Thomas Neumann: The Power of SQL Lambda Functions (22nd International Conference on Extending Database Technology (EDBT 2019))
  • Maximilian E. Schüle, Frédéric Simonis, Thomas Heyenbrock, Alfons Kemper, Stephan Günnemann, Thomas Neumann: In-Database Machine Learning: Gradient Descent and Tensor Algebra for Main Memory Database Systems (18th symposium of "Database systems for Business, Technology and Web" (BTW 2019))
  • Maximilian E. Schüle, Linnea Passing, Alfons Kemper, Thomas Neumann: Ja-(zu-)SQL: Evaluation einer SQL-Skriptsprache für Hauptspeicherdatenbanksysteme (18th symposium of "Database systems for Business, Technology and Web" (BTW 2019))
  • Nina Hubig, Linnea Passing, Maximilian E. Schüle, Dimitri Vorona, Alfons Kemper, Thomas Neumann: HyPerInsight: Data Exploration Deep Inside HyPer (Best Demo Candidate) (The 26th ACM International Conference on Information and Knowledge Management (CIKM 2017))
  • Maximilian E. Schüle, Pascal Schliski, Thomas Hutzelmann, Tobias Rosenberger, Viktor Leis, Dimitri Vorona, Alfons Kemper, Thomas Neumann: Monopedia: Staying Single is Good Enough - The HyPer Way for Web Scale Applications (43th International Conference on Very Large Databases (VLDB 2017))
  • Maximilian E. Schüle:  Integration eines hochperformanten Apriori-Operators in einer Hauptspeicherdatenbank, Masterarbeit, TU München, 2016
  • Maximilian E. Schüle: Ein Bash-zu-SQL-Übersetzers für die in-situ Dateianalyse, Bachelorarbeit, TU München, 2015