Maximilian Schmidt

51 papers B 1C 6Misc 1Journal 29Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Flowcean - Model Learning for Cyber-Physical Systems. CoRR Maximilian Schmidt, Swantje Plambeck, Markus Knitt, Hendrik Rose, Görschwin Fey, Jan Christian Wieck, Stephan Balduin
2026	J	`jnl`	Identification of hybrid systems with dynamics-based modeling through symbolic regression. J. Syst. Softw. Swantje Plambeck, Maximilian Schmidt, Audine Subias, Louise Travé-Massuyès, Görschwin Fey
2025	J	`jnl`	Carbon Footprint Evaluation of Code Generation through LLM as a Service. CoRR Tina Vartziotis, Maximilian Schmidt, George Dasoulas, Ippolyti Dellatolas, Stefano Attademo, Viet Dung Le, Anke Wiechmann, Tim Hoffmann, Michael Keckeisen, Sotirios Kotsopoulos
2025	C	`conf`	One-Shot Learning in Hybrid System Identification: A New Modular Paradigm. DX Swantje Plambeck, Maximilian Schmidt, Louise Travé-Massuyès, Görschwin Fey
2025	J	`jnl`	PowerFactory-Tools: A Python Package to Facilitate the Control of DIgSILENT PowerFactory. J. Open Source Softw. Sebastian Krahmer, Sasan Jacob Rasti, Laura Fiedler, Maximilian Schmidt
2024	C	`conf`	Advancing Humanoid Robotics with Rust: An Open Framework for Runtime Efficiency. RoboCup Team HULKs, Maximilian Schmidt, Hendrik Sieck, Ole Felber, Konrad Valentin Nölle, Luis Scheuch, Patrick Göttsch
2024	J	`jnl`	An empirical approach and practical framework for a decentralized Ethereum Ecosystem Index (EEI). PeerJ Comput. Sci. Manoel Fernando Alonso Gadi, Maximilian Schmidt, Noah Ruemmele, Miguel-Ángel Sicilia
2024	B	`conf`	Dynamics-Based Identification of Hybrid Systems using Symbolic Regression. SEAA Swantje Plambeck, Maximilian Schmidt, Görschwin Fey, Audine Subias, Louise Travé-Massuyès
2024	J	`jnl`	GaMoVR: Gamification-based UML learning environment in virtual reality. Sci. Comput. Program. Enes Yigitbas, Maximilian Schmidt, Antonio Bucchiarone, Sebastian Gottschalk, Gregor Engels
2024	C	`conf`	Gamification- and Virtual Reality-Based Learning Environment for UML Class Diagram Modeling. EDUCON Enes Yigitbas, Maximilian Schmidt, Antonio Bucchiarone, Simone Bassanelli, Gregor Engels
2024	—	`conf`	Learn to Code Sustainably: An Empirical Study on Green Code Generation. LLM4CODE@ICSE Tina Vartziotis, Ippolyti Dellatolas, George Dasoulas, Maximilian Schmidt, Florian Schneider, Tim Hoffmann, Sotirios Kotsopoulos, Michael Keckeisen
2024	J	`jnl`	Learn to Code Sustainably: An Empirical Study on LLM-based Green Code Generation. CoRR Tina Vartziotis, Ippolyti Dellatolas, George Dasoulas, Maximilian Schmidt, Florian Schneider, Tim Hoffmann, Sotirios Kotsopoulos, Michael Keckeisen
2024	J	`jnl`	Learning-Based Approaches for Reconstructions With Inexact Operators in nanoCT Applications. IEEE Trans. Computational Imaging Tom Lütjen, Fabian Schönfeld, Alice Oberacker, Johannes Leuschner, Maximilian Schmidt, Anne Wald, Tobias Kluth
2024	—	`conf`	Prompting-based Synthetic Data Generation for Few-Shot Question Answering. LREC/COLING Maximilian Schmidt, Andrea Bartezzaghi, Ngoc Thang Vu
2024	J	`jnl`	Prompting-based Synthetic Data Generation for Few-Shot Question Answering. CoRR Maximilian Schmidt, Andrea Bartezzaghi, Ngoc Thang Vu
2024	J	`jnl`	Smooth Deep Saliency. CoRR Rudolf Herdt, Maximilian Schmidt, Daniel Otero Baguer, Peter Maaß
2024	C	`conf`	Usability of Symbolic Regression for Hybrid System Identification - System Classes and Parameters (Short Paper). DX Swantje Plambeck, Maximilian Schmidt, Audine Subias, Louise Travé-Massuyès, Görschwin Fey
2023	C	`conf`	How GAN Generators can Invert Networks in Real-Time. ACML Rudolf Herdt, Maximilian Schmidt, Daniel Otero Baguer, Jean Le'Clerc Arrastia, Peter Maaß
2023	J	`jnl`	Learning-based approaches for reconstructions with inexact operators in nanoCT applications. CoRR Tom Lütjen, Fabian Schönfeld, Alice Oberacker, Johannes Leuschner, Maximilian Schmidt, Anne Wald, Tobias Kluth
2023	J	`jnl`	Model Stitching and Visualization How GAN Generators can Invert Networks in Real-Time. CoRR Rudolf Herdt, Maximilian Schmidt, Daniel Otero Baguer, Jean Le'Clerc Arrastia, Peter Maass
2022	J	`jnl`	An Educated Warm Start for Deep Image Prior-Based Micro CT Reconstruction. IEEE Trans. Computational Imaging Riccardo Barbano, Johannes Leuschner, Maximilian Schmidt, Alexander Denker, Andreas Hauptmann, Peter Maass, Bangti Jin
2022	J	`jnl`	Das Combined Energy Lab der TU Dresden - Testbed zur multi-energetischen Analyse vernetzter Energiezellen. Autom. Sasan Jacob Rasti, Maximilian Schmidt, Lars Schinke, Marta Sophia Potyka, Liya Ma, Joachim Seifert, Peter Schegner
2022	—	`conf`	Gamification-based UML learning environment in virtual reality. MoDELS (Companion) Enes Yigitbas, Maximilian Schmidt, Antonio Bucchiarone, Sebastian Gottschalk, Gregor Engels
2022	—	`—`	Hybrid Deep Learning: how combining data-driven and model-based approaches solves inverse problems in computed tomography and beyond Maximilian Schmidt
2022	J	`jnl`	Improving Low-Resource Question Answering using Active Learning in Multiple Stages. CoRR Maximilian Schmidt, Andrea Bartezzaghi, Jasmina Bogojeska, A. Cristiano I. Malossi, Thang Vu
2021	J	`jnl`	Conditional Invertible Neural Networks for Medical Imaging. J. Imaging Alexander Denker, Maximilian Schmidt, Johannes Leuschner, Peter Maass
2021	J	`jnl`	Evolving Neuronal Plasticity Rules using Cartesian Genetic Programming. CoRR Henrik D. Mettler, Maximilian Schmidt, Walter Senn, Mihai A. Petrovici, Jakob Jordan
2021	—	`conf`	Evolving neuronal plasticity rules using cartesian genetic programming. GECCO Companion Henrik D. Mettler, Maximilian Schmidt, Walter Senn, Mihai A. Petrovici, Jakob Jordan
2021	J	`jnl`	Is Deep Image Prior in Need of a Good Education? CoRR Riccardo Barbano, Johannes Leuschner, Maximilian Schmidt, Alexander Denker, Andreas Hauptmann, Peter Maaß, Bangti Jin
2021	J	`jnl`	Quantitative Comparison of Deep Learning-Based Image Reconstruction Methods for Low-Dose and Sparse-Angle CT Applications. J. Imaging Johannes Leuschner, Maximilian Schmidt, Poulami Somanya Ganguly, Vladyslav Andriiashen, Sophia Bethany Coban, Alexander Denker, Dominik F. Bauer, Amir Hadjifaradji, Kees Joost Batenburg, Peter Maass, Maureen van Eijnatten
2021	—	`conf`	Test Stand for the Evaluation of appropriate Drives focusing on a highly-flexible Robot Manipulator. ICHMS Peter Schatschneider, Maximilian Schmidt, Sebastian Herbster, Norbert Elkmann
2020	—	`conf`	ADVISER: A Toolkit for Developing Multi-modal, Multi-domain and Socially-engaged Conversational Agents. ACL (demo) Chia-Yu Li, Daniel Ortega, Dirk Väth, Florian Lux, Lindsey Vanderlyn, Maximilian Schmidt, Michael Neumann, Moritz Völkel, Pavel Denisov, Sabrina Jenne, Zorica Kacarevic, Ngoc Thang Vu
2020	J	`jnl`	ADVISER: A Toolkit for Developing Multi-modal, Multi-domain and Socially-engaged Conversational Agents. CoRR Chia-Yu Li, Daniel Ortega, Dirk Väth, Florian Lux, Lindsey Vanderlyn, Maximilian Schmidt, Michael Neumann, Moritz Völkel, Pavel Denisov, Sabrina Jenne, Zorica Kacarevic, Ngoc Thang Vu
2020	J	`jnl`	Computed Tomography Reconstruction Using Deep Image Prior and Learned Reconstruction Methods. CoRR Daniel Otero Baguer, Johannes Leuschner, Maximilian Schmidt
2020	C	`conf`	Tactile-sensing apparatus for sensible catching of guided heavy masses. ETFA Maximilian Schmidt, Veit Müller, Holger Althaus, Norbert Elkmann
2019	—	`conf`	ADVISER: A Dialog System Framework for Education & Research. ACL (3) Daniel Ortega, Dirk Väth, Gianna Weber, Lindsey Vanderlyn, Maximilian Schmidt, Moritz Völkel, Zorica Karacevic, Ngoc Thang Vu
2019	J	`jnl`	Deep Relevance Regularization: Interpretable and Robust Tumor Typing of Imaging Mass Spectrometry Data. CoRR Christian Etmann, Maximilian Schmidt, Jens Behrmann, Tobias Boskamp, Lena Hauberg-Lotte, Annette Peter, Rita Casadonte, Jörg Kriegsmann, Peter Maass
2019	Misc	`conf`	Market Systems as a Source of Individual Contributive Social Capital Scores. MuC Sebastian Schams, Jan Hauffa, Maximilian Schmidt, Georg Groh
2019	J	`jnl`	Normalizing flows for novelty detection in industrial time series data. CoRR Maximilian Schmidt, Marko Simic
2019	J	`jnl`	Supervised non-negative matrix factorization methods for MALDI imaging applications. Bioinform. Johannes Leuschner, Maximilian Schmidt, Pascal Fernsel, Delf Lachmund, Tobias Boskamp, Peter Maass
2019	J	`jnl`	The LoDoPaB-CT Dataset: A Benchmark Dataset for Low-Dose CT Reconstruction Methods. CoRR Johannes Leuschner, Maximilian Schmidt, Daniel Otero Baguer, Peter Maaß
2018	J	`jnl`	A multi-scale layer-resolved spiking network model of resting-state dynamics in macaque visual cortical areas. PLoS Comput. Biol. Maximilian Schmidt, Rembrandt Bakker, Kelly Shen, Gleb Bezgin, Markus Diesmann, Sacha Jennifer van Albada
2017	J	`jnl`	Fundamental Activity Constraints Lead to Specific Interpretations of the Connectome. PLoS Comput. Biol. Jannis Schuecker, Maximilian Schmidt, Sacha J. van Albada, Markus Diesmann, Moritz Helias
2017	J	`jnl`	Was wird aus dem Beschäftigtendatenschutz? Datenschutz und Datensicherheit Peter Gola, Gregor Thüsing, Maximilian Schmidt
2016	—	`conf`	HETZI - Jump and Run: Development and Evaluation of a Gesture Controlled Game. FMT Maximilian Schmidt, Cornelius Pöpel
2016	—	`conf`	Studies on provision of ancillary services by distributed generation units and storage devices. ISGT Europe Tobias Heß, Peter Schegner, Maximilian Schmidt
2014	—	`conf`	Case study on primary frequency control with wind-turbines and photovoltaic plants. PSCC Maximilian Schmidt, Gustav Lammert, Tobias Heß, Peter Schegner
2014	—	`conf`	Dynamic grid support in low voltage grids - fault ride-through and reactive power/voltage support during grid disturbances. PSCC Gustav Lammert, Tobias Heß, Maximilian Schmidt, Peter Schegner, Martin Braun
2014	—	`conf`	IT trends with impact on privacy and security. Open Identity Summit Petra Hoepner, Maximilian Schmidt, Christian Welzel
2014	J	`jnl`	Spiking network simulation code for petascale computers. Frontiers Neuroinformatics Susanne Kunkel, Maximilian Schmidt, Jochen Martin Eppler, Hans Ekkehard Plesser, Gen Masumoto, Jun Igarashi, Shin Ishii, Tomoki Fukai, Abigail Morrison, Markus Diesmann, Moritz Helias
2013	—	`conf`	VisNEST - Interactive analysis of neural activity data. BioVis Christian Nowke, Maximilian Schmidt, Sacha J. van Albada, Jochen M. Eppler, Rembrandt Bakker, Markus Diesrnann, Bernd Hentschel, Torsten W. Kuhlen