[{"author":[{"first_name":"Marco","last_name":"Bernreuther","full_name":"Bernreuther, Marco"},{"last_name":"Dellnitz","first_name":"Michael","full_name":"Dellnitz, Michael"},{"first_name":"Bennet","last_name":"Gebken","full_name":"Gebken, Bennet","id":"32643"},{"last_name":"Müller","first_name":"Georg","full_name":"Müller, Georg"},{"id":"47427","full_name":"Peitz, Sebastian","last_name":"Peitz","first_name":"Sebastian","orcid":"0000-0002-3389-793X"},{"full_name":"Sonntag, Konstantin","orcid":"https://orcid.org/0000-0003-3384-3496","last_name":"Sonntag","first_name":"Konstantin","id":"56399"},{"full_name":"Volkwein, Stefan","first_name":"Stefan","last_name":"Volkwein"}],"year":"2024","status":"public","title":"Multiobjective Optimization of Non-Smooth PDE-Constrained Problems","date_updated":"2026-10-01T11:29:43Z","_id":"46578","publisher":"Birkhäuser","language":[{"iso":"eng"}],"main_file_link":[{"open_access":"1","url":"https://arxiv.org/pdf/2308.01113"}],"user_id":"47427","citation":{"chicago":"Bernreuther, Marco, Michael Dellnitz, Bennet Gebken, Georg Müller, Sebastian Peitz, Konstantin Sonntag, and Stefan Volkwein. “Multiobjective Optimization of Non-Smooth PDE-Constrained Problems.” In <i>DFG Priority Programme 1962</i>. Birkhäuser, 2024.","short":"M. Bernreuther, M. Dellnitz, B. Gebken, G. Müller, S. Peitz, K. Sonntag, S. Volkwein, in: DFG Priority Programme 1962, Birkhäuser, 2024.","ieee":"M. Bernreuther <i>et al.</i>, “Multiobjective Optimization of Non-Smooth PDE-Constrained Problems,” in <i>DFG Priority Programme 1962</i>, Birkhäuser, 2024.","apa":"Bernreuther, M., Dellnitz, M., Gebken, B., Müller, G., Peitz, S., Sonntag, K., &#38; Volkwein, S. (2024). Multiobjective Optimization of Non-Smooth PDE-Constrained Problems. In <i>DFG Priority Programme 1962</i>. Birkhäuser.","bibtex":"@inbook{Bernreuther_Dellnitz_Gebken_Müller_Peitz_Sonntag_Volkwein_2024, title={Multiobjective Optimization of Non-Smooth PDE-Constrained Problems}, booktitle={DFG Priority Programme 1962}, publisher={Birkhäuser}, author={Bernreuther, Marco and Dellnitz, Michael and Gebken, Bennet and Müller, Georg and Peitz, Sebastian and Sonntag, Konstantin and Volkwein, Stefan}, year={2024} }","ama":"Bernreuther M, Dellnitz M, Gebken B, et al. Multiobjective Optimization of Non-Smooth PDE-Constrained Problems. In: <i>DFG Priority Programme 1962</i>. Birkhäuser; 2024.","mla":"Bernreuther, Marco, et al. “Multiobjective Optimization of Non-Smooth PDE-Constrained Problems.” <i>DFG Priority Programme 1962</i>, Birkhäuser, 2024."},"publication":"DFG Priority Programme 1962","abstract":[{"lang":"eng","text":"Multiobjective optimization plays an increasingly important role in modern applications, where several criteria are often of equal importance. The task in multiobjective optimization and multiobjective optimal control is therefore to compute the set of optimal compromises (the Pareto set) between the conflicting objectives. The advances in algorithms and the increasing interest in Pareto-optimal solutions have led to a wide range of new applications related to optimal and feedback control - potentially with non-smoothness both on the level of the objectives or in the system dynamics. This results in new challenges such as dealing with expensive models (e.g., governed by partial differential equations (PDEs)) and developing dedicated algorithms handling the non-smoothness. Since in contrast to single-objective optimization, the Pareto set generally consists of an infinite number of solutions, the computational effort can quickly become challenging, which is particularly problematic when the objectives are costly to evaluate or when a solution has to be presented very quickly. This article gives an overview of recent developments in the field of multiobjective optimization of non-smooth PDE-constrained problems. In particular we report on the advances achieved within Project 2 \"Multiobjective Optimization of Non-Smooth PDE-Constrained Problems - Switches, State Constraints and Model Order Reduction\" of the DFG Priority Programm 1962 \"Non-smooth and Complementarity-based Distributed Parameter Systems: Simulation and Hierarchical Optimization\"."}],"date_created":"2023-08-21T05:50:12Z","external_id":{"arxiv":["2308.01113"]},"oa":"1","department":[{"_id":"655"},{"_id":"101"}],"type":"book_chapter"},{"abstract":[{"text":"The goal of this paper is to make a strong point for the usage of dynamical models when using reinforcement learning (RL) for feedback control of dynamical systems governed by partial differential equations (PDEs). To breach the gap between the immense promises we see in RL and the applicability in complex engineering systems, the main challenges are the massive requirements in terms of the training data, as well as the lack of performance guarantees. We present a solution for the first issue using a data-driven surrogate model in the form of a convolutional LSTM with actuation. We demonstrate that learning an actuated model in parallel to training the RL agent significantly reduces the total amount of required data sampled from the real system. Furthermore, we show that iteratively updating the model is of major importance to avoid biases in the RL training. Detailed ablation studies reveal the most important ingredients of the modeling process. We use the chaotic Kuramoto-Sivashinsky equation do demonstarte our findings.","lang":"eng"}],"publication":"European Control Conference (ECC)","citation":{"ama":"Werner S, Peitz S. Numerical evidence for sample efficiency of model-based over model-free reinforcement learning control of partial differential equations. In: <i>European Control Conference (ECC)</i>. IEEE; 2024:2958-2964. doi:<a href=\"https://doi.org/10.23919/ECC64448.2024.10590945\">10.23919/ECC64448.2024.10590945</a>","bibtex":"@inproceedings{Werner_Peitz_2024, title={Numerical evidence for sample efficiency of model-based over model-free reinforcement learning control of partial differential equations}, DOI={<a href=\"https://doi.org/10.23919/ECC64448.2024.10590945\">10.23919/ECC64448.2024.10590945</a>}, booktitle={European Control Conference (ECC)}, publisher={IEEE}, author={Werner, Stefan and Peitz, Sebastian}, year={2024}, pages={2958–2964} }","mla":"Werner, Stefan, and Sebastian Peitz. “Numerical Evidence for Sample Efficiency of Model-Based over Model-Free Reinforcement Learning Control of Partial Differential Equations.” <i>European Control Conference (ECC)</i>, IEEE, 2024, pp. 2958–64, doi:<a href=\"https://doi.org/10.23919/ECC64448.2024.10590945\">10.23919/ECC64448.2024.10590945</a>.","short":"S. Werner, S. Peitz, in: European Control Conference (ECC), IEEE, 2024, pp. 2958–2964.","chicago":"Werner, Stefan, and Sebastian Peitz. “Numerical Evidence for Sample Efficiency of Model-Based over Model-Free Reinforcement Learning Control of Partial Differential Equations.” In <i>European Control Conference (ECC)</i>, 2958–64. IEEE, 2024. <a href=\"https://doi.org/10.23919/ECC64448.2024.10590945\">https://doi.org/10.23919/ECC64448.2024.10590945</a>.","apa":"Werner, S., &#38; Peitz, S. (2024). Numerical evidence for sample efficiency of model-based over model-free reinforcement learning control of partial differential equations. <i>European Control Conference (ECC)</i>, 2958–2964. <a href=\"https://doi.org/10.23919/ECC64448.2024.10590945\">https://doi.org/10.23919/ECC64448.2024.10590945</a>","ieee":"S. Werner and S. Peitz, “Numerical evidence for sample efficiency of model-based over model-free reinforcement learning control of partial differential equations,” in <i>European Control Conference (ECC)</i>, 2024, pp. 2958–2964, doi: <a href=\"https://doi.org/10.23919/ECC64448.2024.10590945\">10.23919/ECC64448.2024.10590945</a>."},"type":"conference","oa":"1","department":[{"_id":"655"}],"external_id":{"arxiv":["2302.07160"]},"date_created":"2023-02-15T20:57:20Z","date_updated":"2026-10-01T11:30:59Z","year":"2024","title":"Numerical evidence for sample efficiency of model-based over model-free reinforcement learning control of partial differential equations","status":"public","author":[{"last_name":"Werner","first_name":"Stefan","full_name":"Werner, Stefan"},{"full_name":"Peitz, Sebastian","orcid":"0000-0002-3389-793X","first_name":"Sebastian","last_name":"Peitz","id":"47427"}],"doi":"10.23919/ECC64448.2024.10590945","user_id":"47427","main_file_link":[{"open_access":"1","url":"https://arxiv.org/pdf/2302.07160"}],"page":"2958-2964","publisher":"IEEE","_id":"42160","language":[{"iso":"eng"}]},{"title":"Accelerating the analysis of optical quantum systems using the Koopman operator","year":"2024","status":"public","author":[{"full_name":"Peitz, Sebastian","orcid":"0000-0002-3389-793X","last_name":"Peitz","first_name":"Sebastian","id":"47427"},{"last_name":"Hunstig","first_name":"Anna","full_name":"Hunstig, Anna"},{"id":"55958","last_name":"Rose","first_name":"Hendrik","orcid":"0000-0002-3079-5428","full_name":"Rose, Hendrik"},{"first_name":"Torsten","orcid":"0000-0001-8864-2072","last_name":"Meier","full_name":"Meier, Torsten","id":"344"}],"date_updated":"2026-10-01T11:22:36Z","page":"7964-7969","main_file_link":[{"open_access":"1","url":"https://arxiv.org/pdf/2310.16578.pdf"}],"_id":"48502","language":[{"iso":"eng"}],"user_id":"47427","doi":"10.1109/CDC56724.2024.10886589","publication":"IEEE 63rd Conference on Decision and Control (CDC)","citation":{"apa":"Peitz, S., Hunstig, A., Rose, H., &#38; Meier, T. (2024). Accelerating the analysis of optical quantum systems using the Koopman operator. <i>IEEE 63rd Conference on Decision and Control (CDC)</i>, 7964–7969. <a href=\"https://doi.org/10.1109/CDC56724.2024.10886589\">https://doi.org/10.1109/CDC56724.2024.10886589</a>","ieee":"S. Peitz, A. Hunstig, H. Rose, and T. Meier, “Accelerating the analysis of optical quantum systems using the Koopman operator,” in <i>IEEE 63rd Conference on Decision and Control (CDC)</i>, 2024, pp. 7964–7969, doi: <a href=\"https://doi.org/10.1109/CDC56724.2024.10886589\">10.1109/CDC56724.2024.10886589</a>.","short":"S. Peitz, A. Hunstig, H. Rose, T. Meier, in: IEEE 63rd Conference on Decision and Control (CDC), 2024, pp. 7964–7969.","chicago":"Peitz, Sebastian, Anna Hunstig, Hendrik Rose, and Torsten Meier. “Accelerating the Analysis of Optical Quantum Systems Using the Koopman Operator.” In <i>IEEE 63rd Conference on Decision and Control (CDC)</i>, 7964–69, 2024. <a href=\"https://doi.org/10.1109/CDC56724.2024.10886589\">https://doi.org/10.1109/CDC56724.2024.10886589</a>.","mla":"Peitz, Sebastian, et al. “Accelerating the Analysis of Optical Quantum Systems Using the Koopman Operator.” <i>IEEE 63rd Conference on Decision and Control (CDC)</i>, 2024, pp. 7964–69, doi:<a href=\"https://doi.org/10.1109/CDC56724.2024.10886589\">10.1109/CDC56724.2024.10886589</a>.","ama":"Peitz S, Hunstig A, Rose H, Meier T. Accelerating the analysis of optical quantum systems using the Koopman operator. In: <i>IEEE 63rd Conference on Decision and Control (CDC)</i>. ; 2024:7964-7969. doi:<a href=\"https://doi.org/10.1109/CDC56724.2024.10886589\">10.1109/CDC56724.2024.10886589</a>","bibtex":"@inproceedings{Peitz_Hunstig_Rose_Meier_2024, title={Accelerating the analysis of optical quantum systems using the Koopman operator}, DOI={<a href=\"https://doi.org/10.1109/CDC56724.2024.10886589\">10.1109/CDC56724.2024.10886589</a>}, booktitle={IEEE 63rd Conference on Decision and Control (CDC)}, author={Peitz, Sebastian and Hunstig, Anna and Rose, Hendrik and Meier, Torsten}, year={2024}, pages={7964–7969} }"},"abstract":[{"lang":"eng","text":"The prediction of photon echoes is an important technique for gaining an understanding of optical quantum systems. However, this requires a large number of simulations with varying parameters and/or input pulses, which renders numerical studies expensive. This article investigates how we can use data-driven surrogate models based on the Koopman operator to accelerate this process. In order to be successful, we require a model that is accurate over a large number of time steps. To this end, we employ a bilinear Koopman model using extended dynamic mode decomposition and simulate the optical Bloch equations for an ensemble of inhomogeneously broadened two-level systems. Such systems are well suited to describe the excitation of excitonic resonances in semiconductor nanostructures, for example, ensembles of semiconductor quantum dots. We perform a detailed study on the required number of system simulations such that the resulting data-driven Koopman model is sufficiently accurate for a wide range of parameter settings. We analyze the L2 error and the relative error of the photon echo peak and investigate how the control positions relate to the stabilization. After proper training, the dynamics of the quantum ensemble can be predicted accurately and numerically very efficiently by our methods."}],"date_created":"2023-10-27T09:40:59Z","type":"conference","department":[{"_id":"655"},{"_id":"623"}],"oa":"1"},{"status":"public","conference":{"end_date":"2024-07-03","name":"VDI Automation","start_date":"2024-07-02"},"page":"363–374","_id":"55431","publisher":"VDI Verlag","user_id":"58595","volume":2437,"citation":{"bibtex":"@inproceedings{Gräßler_Özcan_2024, place={Düsseldorf}, series={AI beats Automation?}, title={Anwendungspotenziale von Künstlicher Intelligenz im Model-Based Systems Engineering für automatisierte Systeme}, volume={2437}, DOI={<a href=\"https://doi.org/10.51202/9783181024379-363\">10.51202/9783181024379-363</a>}, booktitle={Automation 2024}, publisher={VDI Verlag}, author={Gräßler, Iris and Özcan, Deniz}, editor={VDI Wissensforum GmbH}, year={2024}, pages={363–374}, collection={AI beats Automation?} }","ama":"Gräßler I, Özcan D. Anwendungspotenziale von Künstlicher Intelligenz im Model-Based Systems Engineering für automatisierte Systeme. In: VDI Wissensforum GmbH, ed. <i>Automation 2024</i>. Vol 2437. AI beats Automation? VDI Verlag; 2024:363–374. doi:<a href=\"https://doi.org/10.51202/9783181024379-363\">10.51202/9783181024379-363</a>","mla":"Gräßler, Iris, and Deniz Özcan. “Anwendungspotenziale von Künstlicher Intelligenz im Model-Based Systems Engineering für automatisierte Systeme.” <i>Automation 2024</i>, edited by VDI Wissensforum GmbH, vol. 2437, VDI Verlag, 2024, pp. 363–374, doi:<a href=\"https://doi.org/10.51202/9783181024379-363\">10.51202/9783181024379-363</a>.","chicago":"Gräßler, Iris, and Deniz Özcan. “Anwendungspotenziale von Künstlicher Intelligenz im Model-Based Systems Engineering für automatisierte Systeme.” In <i>Automation 2024</i>, edited by VDI Wissensforum GmbH, 2437:363–374. AI beats Automation? Düsseldorf: VDI Verlag, 2024. <a href=\"https://doi.org/10.51202/9783181024379-363\">https://doi.org/10.51202/9783181024379-363</a>.","short":"I. Gräßler, D. Özcan, in: VDI Wissensforum GmbH (Ed.), Automation 2024, VDI Verlag, Düsseldorf, 2024, pp. 363–374.","ieee":"I. Gräßler and D. Özcan, “Anwendungspotenziale von Künstlicher Intelligenz im Model-Based Systems Engineering für automatisierte Systeme,” in <i>Automation 2024</i>, 2024, vol. 2437, pp. 363–374, doi: <a href=\"https://doi.org/10.51202/9783181024379-363\">10.51202/9783181024379-363</a>.","apa":"Gräßler, I., &#38; Özcan, D. (2024). Anwendungspotenziale von Künstlicher Intelligenz im Model-Based Systems Engineering für automatisierte Systeme. In VDI Wissensforum GmbH (Ed.), <i>Automation 2024</i> (Vol. 2437, pp. 363–374). VDI Verlag. <a href=\"https://doi.org/10.51202/9783181024379-363\">https://doi.org/10.51202/9783181024379-363</a>"},"quality_controlled":"1","place":"Düsseldorf","oa":"1","title":"Anwendungspotenziale von Künstlicher Intelligenz im Model-Based Systems Engineering für automatisierte Systeme","year":"2024","author":[{"orcid":"0000-0001-5765-971X","first_name":"Iris","last_name":"Gräßler","full_name":"Gräßler, Iris","id":"47565"},{"first_name":"Deniz","last_name":"Özcan","full_name":"Özcan, Deniz","id":"58595"}],"corporate_editor":["VDI Wissensforum GmbH"],"publication_identifier":{"isbn":["9783181024379"]},"date_updated":"2026-10-01T12:24:58Z","publication_status":"published","intvolume":"      2437","main_file_link":[{"open_access":"1"}],"series_title":"AI beats Automation?","language":[{"iso":"ger"}],"doi":"10.51202/9783181024379-363","publication":"Automation 2024","date_created":"2024-07-30T10:02:55Z","type":"conference","department":[{"_id":"152"}]},{"language":[{"iso":"eng"}],"main_file_link":[{"open_access":"1"}],"doi":"10.1017/pds.2024.257","author":[{"id":"47565","full_name":"Gräßler, Iris","last_name":"Gräßler","first_name":"Iris","orcid":"0000-0001-5765-971X"},{"id":"67161","last_name":"Wiechel","first_name":"Dominik","full_name":"Wiechel, Dominik"},{"id":"58595","first_name":"Deniz","last_name":"Özcan","full_name":"Özcan, Deniz"},{"full_name":"Taplick, Patrick","first_name":"Patrick","last_name":"Taplick"}],"publication_identifier":{"issn":["2732-527X"]},"year":"2024","title":"Tailored metrics for assessing the quality of MBSE models","intvolume":"         4","publication_status":"published","date_updated":"2026-10-01T12:25:07Z","date_created":"2024-05-31T13:27:01Z","department":[{"_id":"152"}],"type":"conference","publication":"Proceedings of the Design Society","abstract":[{"text":"System models are used to merge relevant engineering artefacts and relationships. Therefore, a high model quality must be ensured. Currently, there is no method for defining company-specific metrics to assess system model quality. In a six-step research approach, a method is defined: (1) literature analysis on quality assessment approaches, (2) derivation of success factors, (3) evaluation of approaches, (4) development of a method, (5) application in automotive industry, and (6) evaluation. The method supports system engineers to derive tailored metrics to objectively assess the model quality.</jats:p>","lang":"eng"}],"_id":"54540","publisher":"Cambridge University Press (CUP)","page":"2545-2554","volume":4,"user_id":"58595","status":"public","oa":"1","citation":{"bibtex":"@inproceedings{Gräßler_Wiechel_Özcan_Taplick_2024, title={Tailored metrics for assessing the quality of MBSE models}, volume={4}, DOI={<a href=\"https://doi.org/10.1017/pds.2024.257\">10.1017/pds.2024.257</a>}, booktitle={Proceedings of the Design Society}, publisher={Cambridge University Press (CUP)}, author={Gräßler, Iris and Wiechel, Dominik and Özcan, Deniz and Taplick, Patrick}, year={2024}, pages={2545–2554} }","ama":"Gräßler I, Wiechel D, Özcan D, Taplick P. Tailored metrics for assessing the quality of MBSE models. In: <i>Proceedings of the Design Society</i>. Vol 4. Cambridge University Press (CUP); 2024:2545-2554. doi:<a href=\"https://doi.org/10.1017/pds.2024.257\">10.1017/pds.2024.257</a>","mla":"Gräßler, Iris, et al. “Tailored Metrics for Assessing the Quality of MBSE Models.” <i>Proceedings of the Design Society</i>, vol. 4, Cambridge University Press (CUP), 2024, pp. 2545–54, doi:<a href=\"https://doi.org/10.1017/pds.2024.257\">10.1017/pds.2024.257</a>.","short":"I. Gräßler, D. Wiechel, D. Özcan, P. Taplick, in: Proceedings of the Design Society, Cambridge University Press (CUP), 2024, pp. 2545–2554.","chicago":"Gräßler, Iris, Dominik Wiechel, Deniz Özcan, and Patrick Taplick. “Tailored Metrics for Assessing the Quality of MBSE Models.” In <i>Proceedings of the Design Society</i>, 4:2545–54. Cambridge University Press (CUP), 2024. <a href=\"https://doi.org/10.1017/pds.2024.257\">https://doi.org/10.1017/pds.2024.257</a>.","ieee":"I. Gräßler, D. Wiechel, D. Özcan, and P. Taplick, “Tailored metrics for assessing the quality of MBSE models,” in <i>Proceedings of the Design Society</i>, 2024, vol. 4, pp. 2545–2554, doi: <a href=\"https://doi.org/10.1017/pds.2024.257\">10.1017/pds.2024.257</a>.","apa":"Gräßler, I., Wiechel, D., Özcan, D., &#38; Taplick, P. (2024). Tailored metrics for assessing the quality of MBSE models. <i>Proceedings of the Design Society</i>, <i>4</i>, 2545–2554. <a href=\"https://doi.org/10.1017/pds.2024.257\">https://doi.org/10.1017/pds.2024.257</a>"},"quality_controlled":"1"},{"date_updated":"2026-10-01T12:07:20Z","status":"public","title":"New Nonlinear Conjugate Gradient Methods with Guaranteed Descent for Multi-Objective Optimization","year":"2024","author":[{"full_name":"Berkemeier, Manuel","first_name":"Manuel","last_name":"Berkemeier"},{"id":"56399","full_name":"Sonntag, Konstantin","last_name":"Sonntag","first_name":"Konstantin","orcid":"https://orcid.org/0000-0003-3384-3496"},{"id":"47427","last_name":"Peitz","first_name":"Sebastian","orcid":"0000-0002-3389-793X","full_name":"Peitz, Sebastian"}],"user_id":"47427","_id":"67320","language":[{"iso":"eng"}],"publication":"Optimizaton Online","citation":{"chicago":"Berkemeier, Manuel, Konstantin Sonntag, and Sebastian Peitz. “New Nonlinear Conjugate Gradient Methods with Guaranteed Descent for Multi-Objective Optimization.” <i>Optimizaton Online</i>, 2024.","short":"M. Berkemeier, K. Sonntag, S. Peitz, Optimizaton Online (2024).","apa":"Berkemeier, M., Sonntag, K., &#38; Peitz, S. (2024). New Nonlinear Conjugate Gradient Methods with Guaranteed Descent for Multi-Objective Optimization. In <i>Optimizaton Online</i>.","ieee":"M. Berkemeier, K. Sonntag, and S. Peitz, “New Nonlinear Conjugate Gradient Methods with Guaranteed Descent for Multi-Objective Optimization,” <i>Optimizaton Online</i>. 2024.","ama":"Berkemeier M, Sonntag K, Peitz S. New Nonlinear Conjugate Gradient Methods with Guaranteed Descent for Multi-Objective Optimization. <i>Optimizaton Online</i>. Published online 2024.","bibtex":"@article{Berkemeier_Sonntag_Peitz_2024, title={New Nonlinear Conjugate Gradient Methods with Guaranteed Descent for Multi-Objective Optimization}, journal={Optimizaton Online}, author={Berkemeier, Manuel and Sonntag, Konstantin and Peitz, Sebastian}, year={2024} }","mla":"Berkemeier, Manuel, et al. “New Nonlinear Conjugate Gradient Methods with Guaranteed Descent for Multi-Objective Optimization.” <i>Optimizaton Online</i>, 2024."},"type":"preprint","keyword":["own","own-preprint"],"department":[{"_id":"655"}],"date_created":"2026-10-01T12:07:05Z"},{"date_created":"2026-07-03T21:12:22Z","type":"conference","publication":"Proceedings of the 25th ACM SIGPLAN/SIGBED International Conference on Languages, Compilers, and Tools for Embedded Systems","citation":{"mla":"Malcher, Jannik, et al. “Language-Based Deployment Optimization for Random Forests (Invited Paper).” <i>Proceedings of the 25th ACM SIGPLAN/SIGBED International Conference on Languages, Compilers, and Tools for Embedded Systems</i>, ACM, 2024, doi:<a href=\"https://doi.org/10.1145/3652032.3659366\">10.1145/3652032.3659366</a>.","bibtex":"@inproceedings{Malcher_Biebert_Chen_Buschjäger_Hakert_Chen_2024, title={Language-Based Deployment Optimization for Random Forests (Invited Paper)}, DOI={<a href=\"https://doi.org/10.1145/3652032.3659366\">10.1145/3652032.3659366</a>}, booktitle={Proceedings of the 25th ACM SIGPLAN/SIGBED International Conference on Languages, Compilers, and Tools for Embedded Systems}, publisher={ACM}, author={Malcher, Jannik and Biebert, Daniel and Chen, Kuan-Hsun and Buschjäger, Sebastian and Hakert, Christian and Chen, Jian-Jia}, year={2024} }","ama":"Malcher J, Biebert D, Chen K-H, Buschjäger S, Hakert C, Chen J-J. Language-Based Deployment Optimization for Random Forests (Invited Paper). In: <i>Proceedings of the 25th ACM SIGPLAN/SIGBED International Conference on Languages, Compilers, and Tools for Embedded Systems</i>. ACM; 2024. doi:<a href=\"https://doi.org/10.1145/3652032.3659366\">10.1145/3652032.3659366</a>","ieee":"J. Malcher, D. Biebert, K.-H. Chen, S. Buschjäger, C. Hakert, and J.-J. Chen, “Language-Based Deployment Optimization for Random Forests (Invited Paper),” 2024, doi: <a href=\"https://doi.org/10.1145/3652032.3659366\">10.1145/3652032.3659366</a>.","apa":"Malcher, J., Biebert, D., Chen, K.-H., Buschjäger, S., Hakert, C., &#38; Chen, J.-J. (2024). Language-Based Deployment Optimization for Random Forests (Invited Paper). <i>Proceedings of the 25th ACM SIGPLAN/SIGBED International Conference on Languages, Compilers, and Tools for Embedded Systems</i>. <a href=\"https://doi.org/10.1145/3652032.3659366\">https://doi.org/10.1145/3652032.3659366</a>","chicago":"Malcher, Jannik, Daniel Biebert, Kuan-Hsun Chen, Sebastian Buschjäger, Christian Hakert, and Jian-Jia Chen. “Language-Based Deployment Optimization for Random Forests (Invited Paper).” In <i>Proceedings of the 25th ACM SIGPLAN/SIGBED International Conference on Languages, Compilers, and Tools for Embedded Systems</i>. ACM, 2024. <a href=\"https://doi.org/10.1145/3652032.3659366\">https://doi.org/10.1145/3652032.3659366</a>.","short":"J. Malcher, D. Biebert, K.-H. Chen, S. Buschjäger, C. Hakert, J.-J. 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