Maximilian Schmidt

According to our database, Maximilian Schmidt authored at least 40 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

GaMoVR: Gamification-based UML learning environment in virtual reality.

Enes Yigitbas, Maximilian Schmidt, Antonio Bucchiarone, Sebastian Gottschalk, Gregor Engels

Sci. Comput. Program., January, 2024

Learning-Based Approaches for Reconstructions With Inexact Operators in nanoCT Applications.

Tom Lütjen, Fabian Schönfeld, Alice Oberacker, Johannes Leuschner, Maximilian Schmidt, Anne Wald, Tobias Kluth

IEEE Trans. Computational Imaging, 2024

An empirical approach and practical framework for a decentralized Ethereum Ecosystem Index (EEI).

Manoel Fernando Alonso Gadi, Maximilian Schmidt, Noah Ruemmele, Miguel-Ángel Sicilia

PeerJ Comput. Sci., 2024

Smooth Deep Saliency.

Rudolf Herdt, Maximilian Schmidt, Daniel Otero Baguer, Peter Maaß

CoRR, 2024

Learn to Code Sustainably: An Empirical Study on LLM-based Green Code Generation.

Tina Vartziotis, Ippolyti Dellatolas, George Dasoulas, Maximilian Schmidt, Florian Schneider, Tim Hoffmann, Sotirios Kotsopoulos, Michael Keckeisen

CoRR, 2024

Learn to Code Sustainably: An Empirical Study on Green Code Generation.

Tina Vartziotis, Ippolyti Dellatolas, George Dasoulas, Maximilian Schmidt, Florian Schneider, Tim Hoffmann, Sotirios Kotsopoulos, Michael Keckeisen

LLM4CODE@ICSE, 2024

Gamification- and Virtual Reality-Based Learning Environment for UML Class Diagram Modeling.

Enes Yigitbas, Maximilian Schmidt, Antonio Bucchiarone, Simone Bassanelli, Gregor Engels

Proceedings of the IEEE Global Engineering Education Conference, 2024

Usability of Symbolic Regression for Hybrid System Identification - System Classes and Parameters (Short Paper).

Swantje Plambeck, Maximilian Schmidt, Audine Subias, Louise Travé-Massuyès, Görschwin Fey

Proceedings of the 35th International Conference on Principles of Diagnosis and Resilient Systems, 2024

Prompting-based Synthetic Data Generation for Few-Shot Question Answering.

Maximilian Schmidt, Andrea Bartezzaghi, Ngoc Thang Vu

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023

Model Stitching and Visualization How GAN Generators can Invert Networks in Real-Time.

Rudolf Herdt, Maximilian Schmidt, Daniel Otero Baguer, Jean Le'Clerc Arrastia, Peter Maass

CoRR, 2023

How GAN Generators can Invert Networks in Real-Time.

Rudolf Herdt, Maximilian Schmidt, Daniel Otero Baguer, Jean Le'Clerc Arrastia, Peter Maaß

Proceedings of the Asian Conference on Machine Learning, 2023

2022

Hybrid Deep Learning: how combining data-driven and model-based approaches solves inverse problems in computed tomography and beyond

Maximilian Schmidt

PhD thesis, 2022

An Educated Warm Start for Deep Image Prior-Based Micro CT Reconstruction.

Riccardo Barbano, Johannes Leuschner, Maximilian Schmidt, Alexander Denker, Andreas Hauptmann, Peter Maass, Bangti Jin

IEEE Trans. Computational Imaging, 2022

Improving Low-Resource Question Answering using Active Learning in Multiple Stages.

Maximilian Schmidt, Andrea Bartezzaghi, Jasmina Bogojeska, A. Cristiano I. Malossi, Thang Vu

CoRR, 2022

Das Combined Energy Lab der TU Dresden - Testbed zur multi-energetischen Analyse vernetzter Energiezellen.

Sasan Jacob Rasti, Maximilian Schmidt, Lars Schinke, Marta Sophia Potyka, Liya Ma, Joachim Seifert, Peter Schegner

Autom., 2022

Gamification-based UML learning environment in virtual reality.

Enes Yigitbas, Maximilian Schmidt, Antonio Bucchiarone, Sebastian Gottschalk, Gregor Engels

Proceedings of the 25th International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings, 2022

2021

Quantitative Comparison of Deep Learning-Based Image Reconstruction Methods for Low-Dose and Sparse-Angle CT Applications.

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

J. Imaging, 2021

Conditional Invertible Neural Networks for Medical Imaging.

Alexander Denker, Maximilian Schmidt, Johannes Leuschner, Peter Maass

J. Imaging, 2021

Is Deep Image Prior in Need of a Good Education?

Riccardo Barbano, Johannes Leuschner, Maximilian Schmidt, Alexander Denker, Andreas Hauptmann, Peter Maaß, Bangti Jin

CoRR, 2021

Test Stand for the Evaluation of appropriate Drives focusing on a highly-flexible Robot Manipulator.

Peter Schatschneider, Maximilian Schmidt, Sebastian Herbster, Norbert Elkmann

Proceedings of the 2nd IEEE International Conference on Human-Machine Systems, 2021

Evolving neuronal plasticity rules using cartesian genetic programming.

Henrik D. Mettler, Maximilian Schmidt, Walter Senn, Mihai A. Petrovici, Jakob Jordan

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

2020

Computed Tomography Reconstruction Using Deep Image Prior and Learned Reconstruction Methods.

Daniel Otero Baguer, Johannes Leuschner, Maximilian Schmidt

CoRR, 2020

Tactile-sensing apparatus for sensible catching of guided heavy masses.

Maximilian Schmidt, Veit Müller, Holger Althaus, Norbert Elkmann

Proceedings of the 25th IEEE International Conference on Emerging Technologies and Factory Automation, 2020

ADVISER: A Toolkit for Developing Multi-modal, Multi-domain and Socially-engaged Conversational Agents.

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

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2020

2019

Deep Relevance Regularization: Interpretable and Robust Tumor Typing of Imaging Mass Spectrometry Data.

Christian Etmann, Maximilian Schmidt, Jens Behrmann, Tobias Boskamp, Lena Hauberg-Lotte, Annette Peter, Rita Casadonte, Jörg Kriegsmann, Peter Maass

CoRR, 2019

The LoDoPaB-CT Dataset: A Benchmark Dataset for Low-Dose CT Reconstruction Methods.

Johannes Leuschner, Maximilian Schmidt, Daniel Otero Baguer, Peter Maaß

CoRR, 2019

Normalizing flows for novelty detection in industrial time series data.

Maximilian Schmidt, Marko Simic

CoRR, 2019

Supervised non-negative matrix factorization methods for MALDI imaging applications.

Johannes Leuschner, Maximilian Schmidt, Pascal Fernsel, Delf Lachmund, Tobias Boskamp, Peter Maass

Bioinform., 2019

Market Systems as a Source of Individual Contributive Social Capital Scores.

Sebastian Schams, Jan Hauffa, Maximilian Schmidt, Georg Groh

Proceedings of Mensch und Computer 2019, Hamburg, Germany, September 8-11, 2019, 2019

ADVISER: A Dialog System Framework for Education & Research.

Daniel Ortega, Dirk Väth, Gianna Weber, Lindsey Vanderlyn, Maximilian Schmidt, Moritz Völkel, Zorica Karacevic, Ngoc Thang Vu

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

A multi-scale layer-resolved spiking network model of resting-state dynamics in macaque visual cortical areas.

Maximilian Schmidt, Rembrandt Bakker, Kelly Shen, Gleb Bezgin, Markus Diesmann, Sacha Jennifer van Albada

PLoS Comput. Biol., 2018

2017

Fundamental Activity Constraints Lead to Specific Interpretations of the Connectome.

Jannis Schuecker, Maximilian Schmidt, Sacha J. van Albada, Markus Diesmann, Moritz Helias

PLoS Comput. Biol., 2017

Was wird aus dem Beschäftigtendatenschutz?

Peter Gola, Gregor Thüsing, Maximilian Schmidt

Datenschutz und Datensicherheit, 2017

2016

Studies on provision of ancillary services by distributed generation units and storage devices.

Tobias Heß, Peter Schegner, Maximilian Schmidt

Proceedings of the IEEE PES Innovative Smart Grid Technologies Conference Europe, 2016

HETZI - Jump and Run: Development and Evaluation of a Gesture Controlled Game.

Maximilian Schmidt, Cornelius Pöpel

Proceedings of the 9th Forum Media Technology 2016 and 2nd All Around Audio Symposium 2016, 2016

2014

Spiking network simulation code for petascale computers.

Susanne Kunkel, Maximilian Schmidt, Jochen Martin Eppler, Hans Ekkehard Plesser, Gen Masumoto, Jun Igarashi, Shin Ishii, Tomoki Fukai, Abigail Morrison, Markus Diesmann, Moritz Helias

Frontiers Neuroinformatics, 2014

Case study on primary frequency control with wind-turbines and photovoltaic plants.

Maximilian Schmidt, Gustav Lammert, Tobias Heß, Peter Schegner

Proceedings of the 2014 Power Systems Computation Conference, 2014

Dynamic grid support in low voltage grids - fault ride-through and reactive power/voltage support during grid disturbances.

Gustav Lammert, Tobias Heß, Maximilian Schmidt, Peter Schegner, Martin Braun

Proceedings of the 2014 Power Systems Computation Conference, 2014

IT trends with impact on privacy and security.

Petra Hoepner, Maximilian Schmidt, Christian Welzel

Proceedings of the Open Identity Summit 2014, November 4-6, 2014, Stuttgart, Germany, 2014

2013

VisNEST - Interactive analysis of neural activity data.

Christian Nowke, Maximilian Schmidt, Sacha J. van Albada, Jochen M. Eppler, Rembrandt Bakker, Markus Diesrnann, Bernd Hentschel, Torsten W. Kuhlen

Proceedings of the IEEE Symposium on Biological Data Visualization, 2013