Maximilian Böther

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 19

Top Topics

Efficiently Computing

Traffic Congestion

Top Venues

IEEE Trans. Evol. Comput.

Proc. VLDB Endow.

Publications

Maximilian Böther, Abraham Sebastian, Pranjal Awasthi, Ana Klimovic, Srikumar Ramalingam
On Distributed Larger-Than-Memory Subset Selection With Pairwise Submodular Functions. CoRR (2024)
Maximilian Böther, Otto Kißig, Christopher Weyand
Efficiently Computing Directed Minimum Spanning Trees. ALENEX (2023)
Maximilian Böther, Leon Schiller, Philipp Fischbeck, Louise Molitor, Martin S. Krejca, Tobias Friedrich
Evolutionary Minimization of Traffic Congestion. IEEE Trans. Evol. Comput. 27 (6) (2023)
Maximilian Böther, Lawrence Benson, Ana Klimovic, Tilmann Rabl
Analyzing Vectorized Hash Tables Across CPU Architectures. Proc. VLDB Endow. 16 (11) (2023)
Maximilian Böther, Foteini Strati, Viktor Gsteiger, Ana Klimovic
Towards A Platform and Benchmark Suite for Model Training on Dynamic Datasets. EuroMLSys@EuroSys (2023)
Corinna Coupette, Dirk Hartung, Janis Beckedorf, Maximilian Böther, Daniel Martin Katz
Law Smells. Artif. Intell. Law 31 (2) (2023)
Maximilian Böther, Viktor Gsteiger, Ties Robroek, Ana Klimovic
Modyn: A Platform for Model Training on Dynamic Datasets With Sample-Level Data Selection. CoRR (2023)
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)
Maximilian Böther, Otto Kißig, Christopher Weyand
Efficiently Computing Directed Minimum Spanning Trees. CoRR (2022)
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 (2022)
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)
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)
Corinna Coupette, Dirk Hartung, Janis Beckedorf, Maximilian Böther, Daniel Martin Katz
Law Smells: Defining and Detecting Problematic Patterns in Legal Drafting. CoRR (2021)
Maximilian Böther, Leon Schiller, Philipp Fischbeck, Louise Molitor, Martin S. Krejca, Tobias Friedrich
Evolutionary minimization of traffic congestion. GECCO (2021)
Maximilian Böther, Tilmann Rabl
Scale-down experiments on TPCx-HS. BiDEDE@SIGMOD (2021)
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 (2020)
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 (2020)
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)
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 (2020)