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Maximilian Böther
Person information
- affiliation: ETH Zurich, Switzerland
- affiliation (former): Hasso Plattner Institute, Potsdam, Germany
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2020 – today
- 2026
- [j8]Maximilian Böther, Xiaozhe Yao, Tolga Kerimoglu, Dan Graur, Viktor Gsteiger, Ana Klimovic:
Mixtera: A Data Plane for Foundation Model Training. Proc. ACM Manag. Data 4(1): 54:1-54:28 (2026) - [c11]Alejandro Hernández-Cano, Alexander Hägele, Allen Hao Huang, Angelika Romanou, Antoni-Joan Solergibert i Llaquet, Barna Pásztor, Bettina Messmer, Dhia Garbaya, Eduard Frank Durech, Ido Hakimi, Juan Garcia Giraldo, Mete Ismayilzada, Negar Foroutan, Skander Moalla, Tiancheng Chen, Vinko Sabolcec, Yixuan Even Xu, Michael Aerni, Badr AlKhamissi, Ines Altemir Marinas, Mohammad Hossein Amani, Matin Ansaripour, Ilia Badanin, Harold Benoit, Emanuela Boros, Nicholas John Browning, Fabian Bösch, Maximilian Böther, Niklas Canova, Camille Challier, Clément Charmillot, Jonathan Coles, Jan Milan Deriu
, Arnout Devos, Lukas Drescher, Daniil Dzenhaliou, Maud Ehrmann, Dongyang Fan, Simin Fan, Silin Gao, Miguel Gila, María Grandury, Diba Hashemi, Alexander Miserlis Hoyle, Jiaming Jiang, Mark Klein, Andrei Kucharavy, Anastasiia Kucherenko, Frederike Lübeck, Roman Machacek, Theofilos Ioannis Manitaras, Andreas Marfurt, Kyle Matoba, Simon Matrenok, Henrique Mendonça, Fawzi Roberto Mohamed, Syrielle Montariol, Luca Mouchel, Sven Najem-Meyer, Jingwei Ni, Gennaro Oliva, Matteo Pagliardini, Elia Palme, Andrei Panferov, Léo Paoletti, Marco Passerini, Ivan Pavlov, Auguste Poiroux, Kaustubh Ponkshe, Nathan Ranchin, Javier Rando, Mathieu Sauser, Jakhongir Saydaliev, Mukhammadali Sayfiddinov, Marian Schneider, Stefano Schuppli, Marco Scialanga, Andrei Semenov, Kumar Shridhar, Raghav Singhal, Anna Sotnikova, Alexander Sternfeld, Ayush Kumar Tarun, Paul Teiletche, Jannis Vamvas, Xiaozhe Yao, Hao Zhao, Alexander Ilic, Ana Klimovic, Andreas Krause, Caglar Gulcehre, David Rosenthal, Elliott Ash, Florian Tramèr, Joost VandeVondele, Livio Veraldi, Martin Rajman, Thomas C. Schulthess, Torsten Hoefler, Antoine Bosselut, Martin Jaggi, Imanol Schlag:
Apertus: Democratizing Open and Compliant LLMs for Global Language Environments. ACL (1) 2026: 46877-46955 - [i13]Aldo Gael Carranza, Kaleigh Mentzer, Ricardo Pio Monti, Alex Fang, Alvin Deng, Amro Abbas, Anshuman Suri, Brett W. Larsen, Cody Blakeney, Darren Teh, David Schwab, Diego Kiner, Fan Pan, Haakon Mongstad, Haoli Yin, Jack Urbanek, Jason Lee, Jason Telanoff, Josh Wills, Luke Merrick, Maximilian Böther, Parth Doshi, Paul Burstein, Pratyush Maini, Rishabh Adiga, Siddharth Joshi, Spandan Das, Tony Jiang, Vineeth Dorna, Zhengping Wang, Bogdan Gaza, Ari Morcos, Matthew L. Leavitt:
ÜberWeb: Insights from Multilingual Curation for a 20-Trillion-Token Dataset. CoRR abs/2602.15210 (2026) - [i12]Christina Baek, Ricardo Pio Monti, David Schwab, Amro Abbas, Rishabh Adiga, Cody Blakeney, Maximilian Böther, Paul Burstein, Aldo Gael Carranza, Alvin Deng, Parth Doshi, Vineeth Dorna, Alex Fang, Tony Jiang, Siddharth Joshi, Brett W. Larsen, Jason Chan Lee, Katherine L. Mentzer, Luke Merrick, Haakon Mongstad, Fan Pan, Anshuman Suri, Darren Teh, Jason Telanoff, Jack Urbanek, Zhengping Wang, Josh Wills, Haoli Yin, Aditi Raghunathan, J. Zico Kolter, Bogdan Gaza, Ari Morcos, Matthew L. Leavitt, Pratyush Maini:
The Finetuner's Fallacy: When to Pretrain with Your Finetuning Data. CoRR abs/2603.16177 (2026) - [i11]Siddharth Joshi, Haoli Yin, Rishabh Adiga, Haakon Mongstad, Alvin Deng, Aldo Carranza, Alex Fang, Amro Abbas, Anshuman Suri, Brett W. Larsen, Daniel Zayas, Darren Teh, David Schwab, Diego Kiner, Fan Pan, Jack Urbanek, Jason Lee, Jason Telanoff, Josh Wills, Kaleigh Mentzer, Luke Merrick, Maximilian Böther, Parth Doshi, Paul Burstein, Pratyush Maini, Ties Robroek, Tony Jiang, Vidhi Jain, Vineeth Dorna, Zhengping Wang, Bogdan Gaza, Ari Morcos, Matthew L. Leavitt:
20/20 Vision Language Models: A Prescription for Better VLMs through Data Curation Alone. CoRR abs/2605.11405 (2026) - [i10]Matteo Farina, Vishaal Udandarao, Thao Nguyen, Selim Kuzucu, Maximilian Böther, Andreas Hochlehnert, Adhiraj Ghosh, Marianna Nezhurina, Karsten Roth, Joschka Hannes Strüber, Yuhui Zhang, Sebastian Dziadzio, Elaine Sui, Soumya Jahagirdar, Dhruba Ghosh, Hasan Hammoud, Thomas De Min, Simone Caldarella, Muhammad Jehanzeb Mirza, Sedrick Keh, Mehdi Cherti, Hilde Kuehne, Bernt Schiele, Serena Yeung-Levy, Muhammad Ferjad Naeem, Federico Tombari, Ana Klimovic, Elisa Ricci, Matthias Bethge, Sewoong Oh, Ameya Prabhu, Alessio Tonioni, Jenia Jitsev, Massimiliano Mancini, Ludwig Schmidt, Nikhil Parthasarathy:
DataComp-VLM: Improved Open Datasets for Vision-Language Models. CoRR abs/2606.28551 (2026) - 2025
- [j7]Thomas Bodner, Alexander Böhm, Maximilian Böther, Ana Klimovic, Dominik Durner, Martin Grund, Andreas Kipf, Ismail Oukid, Berni Schiefer, Panos Parchas, Hinnerk Gildhoff, Philipp Unterbrunner, Tomas Karnagel, Jana Giceva, Tobias Ziegler, Martin Hentschel:
Opinion Pieces of the BTW 2025 Workshop On Advances in Cloud Data Management. Datenbank-Spektrum 25(3): 187-195 (2025) - [j6]Thomas Bodner, Alexander Böhm, Maximilian Böther, Ana Klimovic, Dominik Durner, Martin Grund, Andreas Kipf, Ismail Oukid, Berni Schiefer, Panos Parchas, Hinnerk Gildhoff, Philipp Unterbrunner, Tomas Karnagel, Jana Giceva, Tobias Ziegler, Martin Hentschel:
Erratum to: Opinion Pieces of the BTW 2025 Workshop On Advances in Cloud Data Management. Datenbank-Spektrum 25(3): 197-198 (2025) - [j5]Maximilian Böther
Modyn: Data-Centric Machine Learning Pipeline Orchestration. Proc. ACM Manag. Data 3(1): 55:1-55:30 (2025) - [c10]Maximilian Böther, Abraham Sebastian, Pranjal Awasthi, Ana Klimovic, Srikumar Ramalingam:
On Distributed Larger-Than-Memory Subset Selection With Pairwise Submodular Functions. MLSys 2025 - [i9]Maximilian Böther, Xiaozhe Yao, Tolga Kerimoglu, Ana Klimovic:
Mixtera: A Data Plane for Foundation Model Training. CoRR abs/2502.19790 (2025) - 2024
- [j4]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. Comput. 13(3-4): 237-261 (2024) - [c9]Jan Deriu, Maud Ehrmann, Emanuela Boros, Maximilian Böther, Christiane Sibille, Ihor Protsenko, Marta Brucka, Imanol Schlag, Elliott Ash:
Swiss AI Initiative - Collecting Large Amounts of High-Quality Data for Training Large Language Models. SwissText 2024: 188 - [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
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
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
Towards A Platform and Benchmark Suite for Model Training on Dynamic Datasets. EuroMLSys@EuroSys 2023: 8-17 - [i7]Maximilian Böther, Viktor Gsteiger
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
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
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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last updated on 2026-08-06 23:01 CEST by the dblp team
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