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Maximilian Schüle
Maximilian Schüle
Professor | University of Bamberg | Dr. rer. nat. (TUM)
在 tum.de 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
In-Database Machine Learning with SQL on GPUs
ME Schüle, H Lang, M Springer, A Kemper, T Neumann, S Günnemann
392021
Freedom for the sql-lambda: Just-in-time-compiling user-injected functions in postgresql
ME Schüle, J Huber, A Kemper, T Neumann
Proceedings of the 32nd International Conference on Scientific and …, 2020
342020
In-database machine learning: Gradient descent and tensor algebra for main memory database systems
M Schüle, F Simonis, T Heyenbrock, A Kemper, S Günnemann, ...
Gesellschaft für Informatik, Bonn, 2019
272019
ML2SQL-Compiling a Declarative Machine Learning Language to SQL and Python.
ME Schüle, M Bungeroth, D Vorona, A Kemper, S Günnemann, ...
EDBT, 562-565, 2019
262019
Mlearn: A declarative machine learning language for database systems
ME Schüle, M Bungeroth, A Kemper, S Günnemann, T Neumann
Proceedings of the 3rd International Workshop on Data Management for End-to …, 2019
232019
TardisDB: extending SQL to support versioning
ME Schüle, J Schmeißer, T Blum, A Kemper, T Neumann
Proceedings of the 2021 International Conference on Management of Data, 2775 …, 2021
172021
Hyperinsight: Data exploration deep inside hyper
N Hubig, L Passing, ME Schüle, D Vorona, A Kemper, T Neumann
Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017
172017
ArrayQL Integration into Code-Generating Database Systems.
ME Schüle, T Götz, A Kemper, T Neumann
EDBT, 1:40-1:51, 2022
152022
ArrayQL for linear algebra within umbra
M Schüle, T Götz, A Kemper, T Neumann
Proceedings of the 33rd International Conference on Scientific and …, 2021
152021
Versioning in main-memory database systems: From musaeusdb to tardisdb
ME Schule, L Karnowski, J Schmeißer, B Kleiner, A Kemper, T Neumann
Proceedings of the 31st International Conference on Scientific and …, 2019
152019
The Power of SQL Lambda Functions.
ME Schüle, D Vorona, L Passing, H Lang, A Kemper, S Günnemann, ...
EDBT, 534-537, 2019
132019
Monopedia: staying single is good enough--the hyper way for web scale applications
ME Schüle, PMN Schliski, T Hutzelmann, T Rosenberger, V Leis, ...
Proceedings of the VLDB Endowment 10 (12), 1921-1924, 2017
132017
Blue Elephants Inspecting Pandas: Inspection and Execution of Machine Learning Pipelines in SQL.
ME Schüle, L Scalerandi, A Kemper, T Neumann
EDBT, 40-52, 2023
122023
Recursive SQL and GPU-support for in-database machine learning
ME Schüle, H Lang, M Springer, A Kemper, T Neumann, S Günnemann
Distributed and Parallel Databases 40 (2), 205-259, 2022
122022
Umbra as a Time Machine: Adding a Versioning Type to SQL
L Karnowski, ME Schüle, A Kemper, T Neumann
BTW (LNI). Gesellschaft für Informatik, Bonn, 2021
11*2021
One Buffer Manager to Rule Them All: Using Distributed Memory with Cache Coherence over RDMA.
M Pröbstl, P Fent, ME Schüle, M Sichert, T Neumann, A Kemper
ADMS@ VLDB, 17-26, 2021
112021
Ja-(zu-) SQL: Evaluation einer SQL-Skriptsprache für Hauptspeicherdatenbanksysteme
M Schüle, L Passing, A Kemper, T Neumann
Gesellschaft für Informatik, Bonn, 2019
102019
B²-Tree: Cache-Friendly String Indexing within B-Trees.
J Schmeißer, ME Schüle, V Leis, T Neumann, A Kemper
BTW, 39-58, 2021
92021
NN2SQL: Let SQL Think for Neural Networks
M Schüle, A Kemper, T Neumann
Otto-Friedrich-Universität, 2023
52023
Recursive sql for data mining
ME Schüle, A Kemper, T Neumann
Proceedings of the 34th International Conference on Scientific and …, 2022
52022
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