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ORCIDMaximilian Böther
Person information
- affiliation: ETH Zurich, Switzerland
- affiliation (former): Hasso Plattner Institute, Potsdam, Germany
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2020 – today
- 2024
[i8]Maximilian Böther, Abraham Sebastian, Pranjal Awasthi, Ana Klimovic, Srikumar Ramalingam:
On Distributed Larger-Than-Memory Subset Selection With Pairwise Submodular Functions. CoRR abs/2402.16442 (2024)- 2023
- [j3]Corinna Coupette
, Dirk Hartung, Janis Beckedorf, Maximilian Böther, Daniel Martin Katz:
Law Smells. Artif. Intell. Law 31(2): 335-368 (2023) - [j2]Maximilian Böther, Lawrence Benson, Ana Klimovic, Tilmann Rabl:
Analyzing Vectorized Hash Tables Across CPU Architectures. Proc. VLDB Endow. 16(11): 2755-2768 (2023) - [j1]Maximilian Böther, Leon Schiller, Philipp Fischbeck, Louise Molitor, Martin S. Krejca, Tobias Friedrich:
Evolutionary Minimization of Traffic Congestion. IEEE Trans. Evol. Comput. 27(6): 1809-1821 (2023) - [c8]Maximilian Böther, Otto Kißig, Christopher Weyand:
Efficiently Computing Directed Minimum Spanning Trees. ALENEX 2023: 86-95 - [c7]Maximilian Böther, Foteini Strati, Viktor Gsteiger, Ana Klimovic:
Towards A Platform and Benchmark Suite for Model Training on Dynamic Datasets. EuroMLSys@EuroSys 2023: 8-17 - [i7]Maximilian Böther, Viktor Gsteiger, Ties Robroek, Ana Klimovic:
Modyn: A Platform for Model Training on Dynamic Datasets With Sample-Level Data Selection. CoRR abs/2312.06254 (2023) - 2022
- [c6]Maximilian Böther, Otto Kißig, Martin Taraz, Sarel Cohen, Karen Seidel, Tobias Friedrich:
What's Wrong with Deep Learning in Tree Search for Combinatorial Optimization. ICLR 2022 - [i6]Maximilian Böther, Otto Kißig, Martin Taraz, Sarel Cohen, Karen Seidel, Tobias Friedrich:
What's Wrong with Deep Learning in Tree Search for Combinatorial Optimization. CoRR abs/2201.10494 (2022) - [i5]Maximilian Böther, Otto Kißig, Christopher Weyand:
Efficiently Computing Directed Minimum Spanning Trees. CoRR abs/2208.02590 (2022) - 2021
- [c5]Julian Berger, Maximilian Böther, Vanja Doskoc, Jonathan Gadea Harder, Nicolas Klodt, Timo Kötzing, Winfried Lötzsch, Jannik Peters, Leon Schiller, Lars Seifert, Armin Wells, Simon Wietheger:
Learning Languages with Decidable Hypotheses. CiE 2021: 25-37 - [c4]Maximilian Böther, Otto Kißig, Lawrence Benson, Tilmann Rabl:
Drop It In Like It's Hot: An Analysis of Persistent Memory as a Drop-in Replacement for NVMe SSDs. DaMoN 2021: 7:1-7:8 - [c3]Maximilian Böther, Leon Schiller, Philipp Fischbeck, Louise Molitor, Martin S. Krejca, Tobias Friedrich:
Evolutionary minimization of traffic congestion. GECCO 2021: 937-945 - [c2]Maximilian Böther, Tilmann Rabl:
Scale-down experiments on TPCx-HS. BiDEDE@SIGMOD 2021: 3:1-3:6 - [i4]Corinna Coupette, Dirk Hartung, Janis Beckedorf, Maximilian Böther, Daniel Martin Katz:
Law Smells: Defining and Detecting Problematic Patterns in Legal Drafting. CoRR abs/2110.11984 (2021) - 2020
- [c1]Thomas Bläsius, Maximilian Böther, Philipp Fischbeck, Tobias Friedrich, Alina Gries, Falk Hüffner, Otto Kißig, Pascal Lenzner, Louise Molitor, Leon Schiller, Armin Wells, Simon Wietheger:
A Strategic Routing Framework and Algorithms for Computing Alternative Paths. ATMOS 2020: 10:1-10:14 - [i3]Thomas Bläsius, Maximilian Böther, Philipp Fischbeck, Tobias Friedrich, Alina Gries, Falk Hüffner, Otto Kißig, Pascal Lenzner, Louise Molitor, Leon Schiller, Armin Wells, Simon Wietheger:
A Strategic Routing Framework and Algorithms for Computing Alternative Paths. CoRR abs/2008.10316 (2020) - [i2]Julian Berger, Maximilian Böther, Vanja Doskoc, Jonathan Gadea Harder, Nicolas Klodt, Timo Kötzing, Winfried Lötzsch, Jannik Peters, Leon Schiller, Lars Seifert, Armin Wells, Simon Wietheger:
Maps for Learning Indexable Classes. CoRR abs/2010.09460 (2020) - [i1]Julian Berger, Maximilian Böther, Vanja Doskoc, Jonathan Gadea Harder, Nicolas Klodt, Timo Kötzing, Winfried Lötzsch, Jannik Peters, Leon Schiller, Lars Seifert, Armin Wells, Simon Wietheger:
Learning Languages with Decidable Hypotheses. CoRR abs/2011.09866 (2020)
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