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Publication search results
found 48 matches
- 2024
- Niclas Boehmer, Robert Bredereck, Klaus Heeger, Dusan Knop, Junjie Luo:
Multivariate algorithmics for eliminating envy by donating goods. Auton. Agents Multi Agent Syst. 38(2): 43 (2024) - Niclas Boehmer, Klaus Heeger, Stanislaw Szufa:
A Map of Diverse Synthetic Stable Matching Instances. J. Artif. Intell. Res. 79: 1113-1166 (2024) - 2023
- Matthias Bentert, Niclas Boehmer, Klaus Heeger, Tomohiro Koana:
Stable matching with multilayer approval preferences: Approvals can be harder than strict preferences. Games Econ. Behav. 142: 508-526 (2023) - Niclas Boehmer, Klaus Heeger:
Adapting Stable Matchings to Forced and Forbidden Pairs. AAMAS 2023: 985-993 - Niclas Boehmer, Klaus Heeger, Stanislaw Szufa:
A Map of Diverse Synthetic Stable Roommates Instances. AAMAS 2023: 1003-1011 - 2022
- Niclas Boehmer, Klaus Heeger:
A Fine-grained View on Stable Many-to-one Matching Problems with Lower and Upper Quotas. ACM Trans. Economics and Comput. 10(2): 9:1-9:53 (2022) - Niclas Boehmer, Klaus Heeger, Rolf Niedermeier:
Theory of and Experiments on Minimally Invasive Stability Preservation in Changing Two-Sided Matching Markets. AAAI 2022: 4851-4858 - Niclas Boehmer, Robert Bredereck, Klaus Heeger, Dusan Knop, Junjie Luo:
Multivariate Algorithmics for Eliminating Envy by Donating Goods. AAMAS 2022: 127-135 - Niclas Boehmer, Klaus Heeger, Rolf Niedermeier:
Deepening the (Parameterized) Complexity Analysis of Incremental Stable Matching Problems. MFCS 2022: 21:1-21:15 - Matthias Bentert, Niclas Boehmer, Klaus Heeger, Tomohiro Koana:
Stable Matching with Multilayer Approval Preferences: Approvals Can Be Harder Than Strict Preferences. SAGT 2022: 436-453 - Niclas Boehmer, Robert Bredereck, Klaus Heeger, Dusan Knop, Junjie Luo:
Multivariate Algorithmics for Eliminating Envy by Donating Goods. CoRR abs/2202.01716 (2022) - Niclas Boehmer, Klaus Heeger:
Adapting Stable Matchings to Forced and Forbidden Pairs. CoRR abs/2204.10040 (2022) - Matthias Bentert, Niclas Boehmer, Klaus Heeger, Tomohiro Koana:
Stable Matching with Multilayer Approval Preferences: Approvals can be Harder than Strict Preferences. CoRR abs/2205.07550 (2022) - Niclas Boehmer, Klaus Heeger, Rolf Niedermeier:
Deepening the (Parameterized) Complexity Analysis of Incremental Stable Matching Problems. CoRR abs/2208.01563 (2022) - Niclas Boehmer, Klaus Heeger, Stanislaw Szufa:
A Map of Diverse Synthetic Stable Roommates Instances. CoRR abs/2208.04041 (2022) - 2021
- Niclas Boehmer, Robert Bredereck, Klaus Heeger, Rolf Niedermeier:
Bribery and Control in Stable Marriage. J. Artif. Intell. Res. 71: 993-1048 (2021) - Niclas Boehmer, Klaus Heeger, Rolf Niedermeier:
Theory of and Experiments on Minimally Invasive Stability Preservation in Changing Two-Sided Matching Markets. CoRR abs/2112.05777 (2021) - 2020
- Niclas Boehmer, Robert Bredereck, Klaus Heeger, Rolf Niedermeier:
Bribery and Control in Stable Marriage. SAGT 2020: 163-177 - Niclas Boehmer, Klaus Heeger:
A Fine-Grained View on Stable Many-To-One Matching Problems with Lower and Upper Quotas. WINE 2020: 31-44 - Niclas Boehmer, Robert Bredereck, Klaus Heeger, Rolf Niedermeier:
Bribery and Control in Stable Marriage. CoRR abs/2007.04948 (2020) - Niclas Boehmer, Klaus Heeger:
A Fine-Grained View on Stable Many-To-One Matching Problems with Lower and Upper Quotas. CoRR abs/2009.14171 (2020) - 2019
- Klaus Böhmer, Robert Schaback:
A meshfree method for solving the Monge-Ampère equation. Numer. Algorithms 82(2): 539-551 (2019) - 2018
- Florian Thürk, Jakub Matta, Fatih Kartal, Klaus Zeiner, Stefan Kampusch, Eugenijus Kaniusas, Maximilian Schnetzinger, Stefan Boehme, Klaus Markstaller, Klaus Ulrich Klein:
Real-time assessment of high resolution vital signs recording for calculation of perioperative clinical parameters. MeMeA 2018: 1-5 - 2017
- Eduard Wagner, Christian Bohme, Stephan Benecke, Nils N. Nissen, Klaus-D. Lang:
Advanced packaging for wireless sensor nodes in cyber-physical systems - impacts of multifunctionality and miniaturization on the environment. ICPHM 2017: 173-178 - 2016
- Wendelin Böhmer, Rong Guo, Klaus Obermayer:
Non-Deterministic Policy Improvement Stabilizes Approximated Reinforcement Learning. CoRR abs/1612.07548 (2016) - 2015
- Wendelin Böhmer, Jost Tobias Springenberg, Joschka Boedecker, Martin A. Riedmiller, Klaus Obermayer:
Autonomous Learning of State Representations for Control: An Emerging Field Aims to Autonomously Learn State Representations for Reinforcement Learning Agents from Their Real-World Sensor Observations. Künstliche Intell. 29(4): 353-362 (2015) - Wendelin Böhmer, Klaus Obermayer:
Regression with Linear Factored Functions. ECML/PKDD (1) 2015: 119-134 - 2014
- Michael J. Tobia, R. Guo, U. Schwarze, Wendelin Böhmer, Jan Gläscher, B. Finckh, A. Marschner, Christian Büchel, Klaus Obermayer, Tobias Sommer:
Neural systems for choice and valuation with counterfactual learning signals. NeuroImage 89: 57-69 (2014) - Wendelin Böhmer, Klaus Obermayer:
Factored Representations for Regression. CoRR abs/1412.6286 (2014) - 2013
- Klaus Böhmer, Robert Schaback:
A nonlinear discretization theory. J. Comput. Appl. Math. 254: 204-219 (2013)
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