Maximilian Schmidt

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 36

Top Topics

Factorization Method

Conversational Agent

Mass Spectrometry

Top Venues

IEEE Trans. Computational Imaging

Publications

Rudolf Herdt, Maximilian Schmidt, Daniel Otero Baguer, Peter Maaß
Smooth Deep Saliency. CoRR (2024)
Manoel Fernando Alonso Gadi, Maximilian Schmidt, Noah Ruemmele, Miguel-Ángel Sicilia
An empirical approach and practical framework for a decentralized Ethereum Ecosystem Index (EEI). PeerJ Comput. Sci. 10 (2024)
Tina Vartziotis, Ippolyti Dellatolas, George Dasoulas, Maximilian Schmidt, Florian Schneider, Tim Hoffmann, Sotirios Kotsopoulos, Michael Keckeisen
Learn to Code Sustainably: An Empirical Study on LLM-based Green Code Generation. CoRR (2024)
Tom Lütjen, Fabian Schönfeld, Alice Oberacker, Johannes Leuschner, Maximilian Schmidt, Anne Wald, Tobias Kluth
Learning-Based Approaches for Reconstructions With Inexact Operators in nanoCT Applications. IEEE Trans. Computational Imaging 10 (2024)
Enes Yigitbas, Maximilian Schmidt, Antonio Bucchiarone, Simone Bassanelli, Gregor Engels
Gamification- and Virtual Reality-Based Learning Environment for UML Class Diagram Modeling. EDUCON (2024)
Maximilian Schmidt, Andrea Bartezzaghi, Ngoc Thang Vu
Prompting-based Synthetic Data Generation for Few-Shot Question Answering. CoRR (2024)
Maximilian Schmidt, Andrea Bartezzaghi, Ngoc Thang Vu
Prompting-based Synthetic Data Generation for Few-Shot Question Answering. LREC/COLING (2024)
Enes Yigitbas, Maximilian Schmidt, Antonio Bucchiarone, Sebastian Gottschalk, Gregor Engels
GaMoVR: Gamification-based UML learning environment in virtual reality. Sci. Comput. Program. 231 (2024)
Tom Lütjen, Fabian Schönfeld, Alice Oberacker, Johannes Leuschner, Maximilian Schmidt, Anne Wald, Tobias Kluth
Learning-based approaches for reconstructions with inexact operators in nanoCT applications. CoRR (2023)
Rudolf Herdt, Maximilian Schmidt, Daniel Otero Baguer, Jean Le'Clerc Arrastia, Peter Maass
Model Stitching and Visualization How GAN Generators can Invert Networks in Real-Time. CoRR (2023)
Rudolf Herdt, Maximilian Schmidt, Daniel Otero Baguer, Jean Le'Clerc Arrastia, Peter Maaß
How GAN Generators can Invert Networks in Real-Time. ACML (2023)
Riccardo Barbano, Johannes Leuschner, Maximilian Schmidt, Alexander Denker, Andreas Hauptmann, Peter Maass, Bangti Jin
An Educated Warm Start for Deep Image Prior-Based Micro CT Reconstruction. IEEE Trans. Computational Imaging 8 (2022)
Sasan Jacob Rasti, Maximilian Schmidt, Lars Schinke, Marta Potyka, Liya Ma, Joachim Seifert, Peter Schegner
Das Combined Energy Lab der TU Dresden - Testbed zur multi-energetischen Analyse vernetzter Energiezellen. Autom. 70 (12) (2022)
Enes Yigitbas, Maximilian Schmidt, Antonio Bucchiarone, Sebastian Gottschalk, Gregor Engels
Gamification-based UML learning environment in virtual reality. MoDELS (Companion) (2022)
Maximilian Schmidt, Andrea Bartezzaghi, Jasmina Bogojeska, A. Cristiano I. Malossi, Thang Vu
Improving Low-Resource Question Answering using Active Learning in Multiple Stages. CoRR (2022)
Johannes Leuschner, Maximilian Schmidt, Poulami Somanya Ganguly, Vladyslav Andriiashen, Sophia Bethany Coban, Alexander Denker, Dominik Bauer, Amir Hadjifaradji, Kees Joost Batenburg, Peter Maass, Maureen van Eijnatten
Quantitative Comparison of Deep Learning-Based Image Reconstruction Methods for Low-Dose and Sparse-Angle CT Applications. J. Imaging 7 (3) (2021)
Henrik D. Mettler, Maximilian Schmidt, Walter Senn, Mihai A. Petrovici, Jakob Jordan
Evolving neuronal plasticity rules using cartesian genetic programming. GECCO Companion (2021)
Henrik D. Mettler, Maximilian Schmidt, Walter Senn, Mihai A. Petrovici, Jakob Jordan
Evolving Neuronal Plasticity Rules using Cartesian Genetic Programming. CoRR (2021)
Riccardo Barbano, Johannes Leuschner, Maximilian Schmidt, Alexander Denker, Andreas Hauptmann, Peter Maaß, Bangti Jin
Is Deep Image Prior in Need of a Good Education? CoRR (2021)
Peter Schatschneider, Maximilian Schmidt, Sebastian Herbster, Norbert Elkmann
Test Stand for the Evaluation of appropriate Drives focusing on a highly-flexible Robot Manipulator. ICHMS (2021)
Alexander Denker, Maximilian Schmidt, Johannes Leuschner, Peter Maass
Conditional Invertible Neural Networks for Medical Imaging. J. Imaging 7 (11) (2021)
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
ADVISER: A Toolkit for Developing Multi-modal, Multi-domain and Socially-engaged Conversational Agents. CoRR (2020)
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
ADVISER: A Toolkit for Developing Multi-modal, Multi-domain and Socially-engaged Conversational Agents. ACL (demo) (2020)
Daniel Otero Baguer, Johannes Leuschner, Maximilian Schmidt
Computed Tomography Reconstruction Using Deep Image Prior and Learned Reconstruction Methods. CoRR (2020)
Maximilian Schmidt, Veit Müller, Holger Althaus, Norbert Elkmann
Tactile-sensing apparatus for sensible catching of guided heavy masses. ETFA (2020)
Christian Etmann, Maximilian Schmidt, Jens Behrmann, Tobias Boskamp, Lena Hauberg-Lotte, Annette Peter, Rita Casadonte, Jörg Kriegsmann, Peter Maass
Deep Relevance Regularization: Interpretable and Robust Tumor Typing of Imaging Mass Spectrometry Data. CoRR (2019)
Sebastian Schams, Jan Hauffa, Maximilian Schmidt, Georg Groh
Market Systems as a Source of Individual Contributive Social Capital Scores. Mensch & Computer (2019)
Johannes Leuschner, Maximilian Schmidt, Daniel Otero Baguer, Peter Maaß
The LoDoPaB-CT Dataset: A Benchmark Dataset for Low-Dose CT Reconstruction Methods. CoRR (2019)
Maximilian Schmidt, Marko Simic
Normalizing flows for novelty detection in industrial time series data. CoRR (2019)
Daniel Ortega, Dirk Väth, Gianna Weber, Lindsey Vanderlyn, Maximilian Schmidt, Moritz Völkel, Zorica Karacevic, Ngoc Thang Vu
ADVISER: A Dialog System Framework for Education & Research. ACL (3) (2019)
Johannes Leuschner, Maximilian Schmidt, Pascal Fernsel, Delf Lachmund, Tobias Boskamp, Peter Maass
Supervised non-negative matrix factorization methods for MALDI imaging applications. Bioinform. 35 (11) (2019)
Maximilian Schmidt, Rembrandt Bakker, Kelly Shen, Gleb Bezgin, Markus Diesmann, Sacha Jennifer van Albada
A multi-scale layer-resolved spiking network model of resting-state dynamics in macaque visual cortical areas. PLoS Comput. Biol. 14 (10) (2018)
Peter Gola, Gregor Thüsing, Maximilian Schmidt
Was wird aus dem Beschäftigtendatenschutz? Datenschutz und Datensicherheit 41 (4) (2017)
Jannis Schuecker, Maximilian Schmidt, Sacha J. van Albada, Markus Diesmann, Moritz Helias
Fundamental Activity Constraints Lead to Specific Interpretations of the Connectome. PLoS Comput. Biol. 13 (2) (2017)
Tobias Heß, Peter Schegner, Maximilian Schmidt
Studies on provision of ancillary services by distributed generation units and storage devices. ISGT Europe (2016)
Maximilian Schmidt, Cornelius Pöpel
HETZI - Jump and Run: Development and Evaluation of a Gesture Controlled Game. FMT (2016)
Susanne Kunkel, Maximilian Schmidt, Jochen Martin Eppler, Hans Ekkehard Plesser, Gen Masumoto, Jun Igarashi, Shin Ishii, Tomoki Fukai, Abigail Morrison, Markus Diesmann, Moritz Helias
Spiking network simulation code for petascale computers. Frontiers Neuroinformatics 8 (2014)
Petra Hoepner, Maximilian Schmidt, Christian Welzel
IT trends with impact on privacy and security. Open Identity Summit (2014)
Gustav Lammert, Tobias Heß, Maximilian Schmidt, Peter Schegner, Martin Braun
Dynamic grid support in low voltage grids - fault ride-through and reactive power/voltage support during grid disturbances. PSCC (2014)
Maximilian Schmidt, Gustav Lammert, Tobias Heß, Peter Schegner
Case study on primary frequency control with wind-turbines and photovoltaic plants. PSCC (2014)
Christian Nowke, Maximilian Schmidt, Sacha J. van Albada, Jochen M. Eppler, Rembrandt Bakker, Markus Diesrnann, Bernd Hentschel, Torsten W. Kuhlen
VisNEST - Interactive analysis of neural activity data. BioVis (2013)