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ORCIDMaximilian E. Schüle
2020 – today
- 2025
[c25]Lena Renate Wolfschmidt, Maximilian Emanuel Schüle
:
Back to the Roots: Decision Trees within Modern Database Systems. BTW 2025: 709-717- [e1]Meike Klettke, Ralf Schenkel, Andreas Henrich, Daniela Nicklas, Maximilian E. Schüle, Klaus Meyer-Wegener:
Datenbanksysteme für Business, Technologie und Web (BTW 2025), 21. Fachtagung des GI-Fachbereichs „Datenbanken und Informationssysteme" (DBIS), 03.-07, März 2025, Bamberg, Germany, Proceedings. LNI P-361, Gesellschaft für Informatik e.V. 2025 [contents] - 2024
- [j5]Maximilian E. Schüle, Meike Klettke, Uta Störl:
Editorial. Datenbank-Spektrum 24(3): 183-186 (2024) - [j4]Maximilian E. Schüle, Thomas Neumann, Alfons Kemper:
The Duck's Brain. Datenbank-Spektrum 24(3): 209-221 (2024) - [c24]Anton Sachnov, Leonard von Merzljak, Maximilian E. Schüle:
Give a JIT on GPUs: NVRTC for Code-Generating Database Systems. ICDEW 2024: 384-387 - [c23]Maximilian E. Schüle, Jakob Hornung:
Higher-Order SQL Lambda Functions. ICDE 2024: 5622-5628 - 2023
- [c22]Maximilian Emanuel Schüle, Alfons Kemper, Thomas Neumann:
NN2SQL: Let SQL Think for Neural Networks. BTW 2023: 183-194 - [c21]Maximilian Emanuel Schüle:
Recursive SQL and GPU-Support for In-Database Machine Learning. BTW 2023: 931 - [c20]Clemens Ruck, Maximilian Emanuel Schüle:
Teaching Blue Elephants the Maths for Machine Learning. DEEM@SIGMOD 2023: 2:1-2:4 - [c19]Maximilian E. Schüle, Luca Scalerandi, Alfons Kemper, Thomas Neumann:
Blue Elephants Inspecting Pandas: Inspection and Execution of Machine Learning Pipelines in SQL. EDBT 2023: 40-52 - [i1]Maximilian E. Schüle, Thomas Neumann, Alfons Kemper:
The Duck's Brain: Training and Inference of Neural Networks in Modern Database Engines. CoRR abs/2312.17355 (2023) - 2022
- [b1]Maximilian E. Schüle:
Modern SQL for Knowledge Discovery and Dataset Versioning. Technical University of Munich, Germany, 2022 - [j3]Josef Schmeißer, Maximilian E. Schüle, Viktor Leis, Thomas Neumann, Alfons Kemper:
B2-Tree: Page-Based String Indexing in Concurrent Environments. Datenbank-Spektrum 22(1): 11-22 (2022) - [j2]Maximilian E. Schüle, Harald Lang, Maximilian Springer, Alfons Kemper, Thomas Neumann, Stephan Günnemann:
Recursive SQL and GPU-support for in-database machine learning. Distributed Parallel Databases 40(2-3): 205-259 (2022) - [c18]Maximilian E. Schüle, Maximilian Springer, Alfons Kemper, Thomas Neumann:
LLVM code optimisation for automatic differentiation: when forward and reverse mode lead in the same direction. DEEM@SIGMOD 2022: 5:1-5:4 - [c17]Maximilian E. Schüle, Tobias Götz, Alfons Kemper, Thomas Neumann:
ArrayQL Integration into Code-Generating Database Systems. EDBT 2022: 1:40-1:51 - [c16]Maximilian Emanuel Schüle, Alfons Kemper, Thomas Neumann:
Recursive SQL for Data Mining. SSDBM 2022: 21:1-21:4 - 2021
- [c15]Magdalena Pröbstl, Philipp Fent, Maximilian E. Schüle, Moritz Sichert, Thomas Neumann, Alfons Kemper:
One Buffer Manager to Rule Them All: Using Distributed Memory with Cache Coherence over RDMA. ADMS@VLDB 2021: 17-26 - [c14]Josef Schmeißer, Maximilian E. Schüle, Viktor Leis, Thomas Neumann, Alfons Kemper:
B²-Tree: Cache-Friendly String Indexing within B-Trees. BTW 2021: 39-58 - [c13]Lukas Karnowski, Maximilian E. Schüle, Alfons Kemper, Thomas Neumann:
Umbra as a Time Machine. BTW 2021: 123-132 - [c12]Maximilian E. Schüle, Josef Schmeißer, Thomas Blum, Alfons Kemper, Thomas Neumann:
TardisDB: Extending SQL to Support Versioning. SIGMOD Conference 2021: 2775-2778 - [c11]Maximilian E. Schüle, Harald Lang, Maximilian Springer, Alfons Kemper, Thomas Neumann, Stephan Günnemann:
In-Database Machine Learning with SQL on GPUs. SSDBM 2021: 25-36 - [c10]Maximilian E. Schüle, Tobias Götz, Alfons Kemper, Thomas Neumann:
ArrayQL for Linear Algebra within Umbra. SSDBM 2021: 193-196 - 2020
- [c9]Maximilian E. Schüle, Alex Kulikov, Alfons Kemper, Thomas Neumann:
ARTful Skyline Computation for In-Memory Database Systems. ADBIS (Short Papers) 2020: 3-12 - [c8]Maximilian E. Schüle, Jakob Huber, Alfons Kemper, Thomas Neumann:
Freedom for the SQL-Lambda: Just-in-Time-Compiling User-Injected Functions in PostgreSQL. SSDBM 2020: 6:1-6:12
2010 – 2019
- 2019
- [c7]Maximilian E. Schüle, Linnea Passing, Alfons Kemper, Thomas Neumann:
Ja-(zu-)SQL: Evaluation einer SQL-Skriptsprache für Hauptspeicherdatenbanksysteme. BTW 2019: 107-126 - [c6]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. BTW 2019: 247-266 - [c5]Maximilian E. Schüle, Dimitri Vorona, Linnea Passing, Harald Lang, Alfons Kemper, Stephan Günnemann, Thomas Neumann:
The Power of SQL Lambda Functions. EDBT 2019: 534-537 - [c4]Maximilian E. Schüle, Matthias Bungeroth, Dimitri Vorona, Alfons Kemper, Stephan Günnemann, Thomas Neumann:
ML2SQL - Compiling a Declarative Machine Learning Language to SQL and Python. EDBT 2019: 562-565 - [c3]Maximilian E. Schüle, Matthias Bungeroth, Alfons Kemper, Stephan Günnemann, Thomas Neumann:
MLearn: A Declarative Machine Learning Language for Database Systems. DEEM@SIGMOD 2019: 7:1-7:4 - [c2]Maximilian E. Schüle, Lukas Karnowski, Josef Schmeißer, Benedikt Kleiner, Alfons Kemper, Thomas Neumann:
Versioning in Main-Memory Database Systems: From MusaeusDB to TardisDB. SSDBM 2019: 169-180 - 2017
- [j1]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. Proc. VLDB Endow. 10(12): 1921-1924 (2017) - [c1]Nina C. Hubig, Linnea Passing, Maximilian E. Schüle, Dimitri Vorona, Alfons Kemper, Thomas Neumann:
HyPerInsight: Data Exploration Deep Inside HyPer. CIKM 2017: 2467-2470
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