13 Publications
2024 | Conference Paper | LibreCat-ID: 54643
Seiler, Moritz, et al. “Learned Features vs. Classical ELA on Affine BBOB Functions.” Parallel Problem Solving from Nature — PPSN XVIII, edited by M Affenzeller et al., Springer International Publishing, 2024, pp. 1–14.
LibreCat
2024 | Conference Paper | LibreCat-ID: 52749
Seiler, Moritz, et al. “Using Reinforcement Learning for Per-Instance Algorithm Configuration on the TSP.” 2023 IEEE Symposium Series on Computational Intelligence (SSCI), IEEE, 2024, doi:10.1109/ssci52147.2023.10372008.
LibreCat
| DOI
2024 | Conference Paper | LibreCat-ID: 58335
Seiler, Moritz, et al. “Synergies of Deep and Classical Exploratory Landscape Features for Automated Algorithm Selection.” Learning and Intelligent Optimization - 18th International Conference, LION 18, Ischia Island, Italy, June 9-13, 2024, Revised Selected Papers, edited by Paola Festa et al., vol. 14990, Springer, 2024, pp. 361–376, doi:10.1007/978-3-031-75623-8_29.
LibreCat
| DOI
2023 | Journal Article | LibreCat-ID: 46310
Heins, Jonathan, et al. “A Study on the Effects of Normalized TSP Features for Automated Algorithm Selection.” Theoretical Computer Science, vol. 940, 2023, pp. 123–45, doi:https://doi.org/10.1016/j.tcs.2022.10.019.
LibreCat
| DOI
2023 | Conference Paper | LibreCat-ID: 48898
Seiler, Moritz, et al. “Using Reinforcement Learning for Per-Instance Algorithm Configuration on the TSP.” 2023 IEEE Symposium Series on Computational Intelligence (SSCI), pp. 361–68, doi:10.1109/SSCI52147.2023.10372008.
LibreCat
| DOI
2022 | Conference Paper | LibreCat-ID: 46307
Seiler, Moritz, et al. “A Collection of Deep Learning-Based Feature-Free Approaches for Characterizing Single-Objective Continuous Fitness Landscapes.” Proceedings of the Genetic and Evolutionary Computation Conference, Association for Computing Machinery, 2022, pp. 657–665, doi:10.1145/3512290.3528834.
LibreCat
| DOI
2022 | Conference Paper | LibreCat-ID: 46304
Prager, Raphael Patrick, et al. “Automated Algorithm Selection in Single-Objective Continuous Optimization: A Comparative Study of Deep Learning and Landscape Analysis Methods.” Parallel Problem Solving from Nature — PPSN XVII, edited by Günter Rudolph et al., Springer International Publishing, 2022, pp. 3–17, doi:10.1007/978-3-031-14714-2_1.
LibreCat
| DOI
2022 | Conference Paper | LibreCat-ID: 46303
Pohl, Janina Susanne, et al. “Artificial Social Media Campaign Creation for Benchmarking and Challenging Detection Approaches.” Workshop Proceedings of the 16$^th$ International Conference on Web and Social Media (ICWSM), edited by for the Advancement of Artificial Intelligence (AAAI) Association, AAAI Press, 2022, pp. 1–10, doi:10.36190/2022.91.
LibreCat
| DOI
2021 | Conference Paper | LibreCat-ID: 46315
Prager, Raphael Patrick, et al. “Towards Feature-Free Automated Algorithm Selection for Single-Objective Continuous Black-Box Optimization.” 2021 IEEE Symposium Series on Computational Intelligence (SSCI), 2021, pp. 1–8, doi:10.1109/SSCI50451.2021.9660174.
LibreCat
| DOI
2021 | Conference Paper | LibreCat-ID: 46312
Assenmacher, Dennis, et al. “RP-Mod & RP-Crowd: Moderator- and Crowd-Annotated German News Comment Datasets.” Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1 (NeurIPS Datasets and Benchmarks 2021), 2021, pp. 1–14.
LibreCat
2021 | Conference Paper | LibreCat-ID: 46313
Heins, Jonathan, et al. “On the Potential of Normalized TSP Features for Automated Algorithm Selection.” Proceedings of the 16$^th$ ACM/SIGEVO Conference on Foundations of Genetic Algorithms (FOGA XVI), edited by for Computing Machinery Association, Association for Computing Machinery, 2021, pp. 1–15, doi:10.1145/3450218.3477308.
LibreCat
| DOI
2020 | Conference Paper | LibreCat-ID: 46331
Seiler, Moritz, et al. “Enhancing Resilience of Deep Learning Networks By Means of Transferable Adversaries.” Proceedings of the International Joint Conference on Neural Networks (IJCNN), 2020, pp. 1–8, doi:10.1109/IJCNN48605.2020.9207338.
LibreCat
| DOI
2020 | Conference Paper | LibreCat-ID: 46330
Seiler, Moritz, et al. “Deep Learning as a Competitive Feature-Free Approach for Automated Algorithm Selection on the Traveling Salesperson Problem.” Proceedings of the 16$^th$ International Conference on Parallel Problem Solving from Nature (PPSN XVI), edited by Thomas Bäck et al., 2020, pp. 48–64, doi:10.1007/978-3-030-58112-1_4.
LibreCat
| DOI
13 Publications
2024 | Conference Paper | LibreCat-ID: 54643
Seiler, Moritz, et al. “Learned Features vs. Classical ELA on Affine BBOB Functions.” Parallel Problem Solving from Nature — PPSN XVIII, edited by M Affenzeller et al., Springer International Publishing, 2024, pp. 1–14.
LibreCat
2024 | Conference Paper | LibreCat-ID: 52749
Seiler, Moritz, et al. “Using Reinforcement Learning for Per-Instance Algorithm Configuration on the TSP.” 2023 IEEE Symposium Series on Computational Intelligence (SSCI), IEEE, 2024, doi:10.1109/ssci52147.2023.10372008.
LibreCat
| DOI
2024 | Conference Paper | LibreCat-ID: 58335
Seiler, Moritz, et al. “Synergies of Deep and Classical Exploratory Landscape Features for Automated Algorithm Selection.” Learning and Intelligent Optimization - 18th International Conference, LION 18, Ischia Island, Italy, June 9-13, 2024, Revised Selected Papers, edited by Paola Festa et al., vol. 14990, Springer, 2024, pp. 361–376, doi:10.1007/978-3-031-75623-8_29.
LibreCat
| DOI
2023 | Journal Article | LibreCat-ID: 46310
Heins, Jonathan, et al. “A Study on the Effects of Normalized TSP Features for Automated Algorithm Selection.” Theoretical Computer Science, vol. 940, 2023, pp. 123–45, doi:https://doi.org/10.1016/j.tcs.2022.10.019.
LibreCat
| DOI
2023 | Conference Paper | LibreCat-ID: 48898
Seiler, Moritz, et al. “Using Reinforcement Learning for Per-Instance Algorithm Configuration on the TSP.” 2023 IEEE Symposium Series on Computational Intelligence (SSCI), pp. 361–68, doi:10.1109/SSCI52147.2023.10372008.
LibreCat
| DOI
2022 | Conference Paper | LibreCat-ID: 46307
Seiler, Moritz, et al. “A Collection of Deep Learning-Based Feature-Free Approaches for Characterizing Single-Objective Continuous Fitness Landscapes.” Proceedings of the Genetic and Evolutionary Computation Conference, Association for Computing Machinery, 2022, pp. 657–665, doi:10.1145/3512290.3528834.
LibreCat
| DOI
2022 | Conference Paper | LibreCat-ID: 46304
Prager, Raphael Patrick, et al. “Automated Algorithm Selection in Single-Objective Continuous Optimization: A Comparative Study of Deep Learning and Landscape Analysis Methods.” Parallel Problem Solving from Nature — PPSN XVII, edited by Günter Rudolph et al., Springer International Publishing, 2022, pp. 3–17, doi:10.1007/978-3-031-14714-2_1.
LibreCat
| DOI
2022 | Conference Paper | LibreCat-ID: 46303
Pohl, Janina Susanne, et al. “Artificial Social Media Campaign Creation for Benchmarking and Challenging Detection Approaches.” Workshop Proceedings of the 16$^th$ International Conference on Web and Social Media (ICWSM), edited by for the Advancement of Artificial Intelligence (AAAI) Association, AAAI Press, 2022, pp. 1–10, doi:10.36190/2022.91.
LibreCat
| DOI
2021 | Conference Paper | LibreCat-ID: 46315
Prager, Raphael Patrick, et al. “Towards Feature-Free Automated Algorithm Selection for Single-Objective Continuous Black-Box Optimization.” 2021 IEEE Symposium Series on Computational Intelligence (SSCI), 2021, pp. 1–8, doi:10.1109/SSCI50451.2021.9660174.
LibreCat
| DOI
2021 | Conference Paper | LibreCat-ID: 46312
Assenmacher, Dennis, et al. “RP-Mod & RP-Crowd: Moderator- and Crowd-Annotated German News Comment Datasets.” Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1 (NeurIPS Datasets and Benchmarks 2021), 2021, pp. 1–14.
LibreCat
2021 | Conference Paper | LibreCat-ID: 46313
Heins, Jonathan, et al. “On the Potential of Normalized TSP Features for Automated Algorithm Selection.” Proceedings of the 16$^th$ ACM/SIGEVO Conference on Foundations of Genetic Algorithms (FOGA XVI), edited by for Computing Machinery Association, Association for Computing Machinery, 2021, pp. 1–15, doi:10.1145/3450218.3477308.
LibreCat
| DOI
2020 | Conference Paper | LibreCat-ID: 46331
Seiler, Moritz, et al. “Enhancing Resilience of Deep Learning Networks By Means of Transferable Adversaries.” Proceedings of the International Joint Conference on Neural Networks (IJCNN), 2020, pp. 1–8, doi:10.1109/IJCNN48605.2020.9207338.
LibreCat
| DOI
2020 | Conference Paper | LibreCat-ID: 46330
Seiler, Moritz, et al. “Deep Learning as a Competitive Feature-Free Approach for Automated Algorithm Selection on the Traveling Salesperson Problem.” Proceedings of the 16$^th$ International Conference on Parallel Problem Solving from Nature (PPSN XVI), edited by Thomas Bäck et al., 2020, pp. 48–64, doi:10.1007/978-3-030-58112-1_4.
LibreCat
| DOI