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ORCIDMaximilian Schmidt
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j12]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: e1766 (2024)- [j11]Enes Yigitbas, Maximilian Schmidt, Antonio Bucchiarone, Sebastian Gottschalk, Gregor Engels:
GaMoVR: Gamification-based UML learning environment in virtual reality. Sci. Comput. Program. 231: 103029 (2024) - [j10]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: 522-534 (2024) - [c17]Maximilian Schmidt, Andrea Bartezzaghi, Ngoc Thang Vu:
Prompting-based Synthetic Data Generation for Few-Shot Question Answering. LREC/COLING 2024: 13168-13178 - [c16]Enes Yigitbas, Maximilian Schmidt, Antonio Bucchiarone, Simone Bassanelli, Gregor Engels:
Gamification- and Virtual Reality-Based Learning Environment for UML Class Diagram Modeling. EDUCON 2024: 1-10 - [c15]Tina Vartziotis, Ippolyti Dellatolas, George Dasoulas, Maximilian Schmidt, Florian Schneider, Tim Hoffmann, Sotirios Kotsopoulos, Michael Keckeisen:
Learn to Code Sustainably: An Empirical Study on Green Code Generation. LLM4CODE@ICSE 2024: 30-37 - [i13]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 abs/2403.03344 (2024) - [i12]Rudolf Herdt, Maximilian Schmidt, Daniel Otero Baguer, Peter Maaß:
Smooth Deep Saliency. CoRR abs/2404.02282 (2024) - [i11]Maximilian Schmidt, Andrea Bartezzaghi, Ngoc Thang Vu:
Prompting-based Synthetic Data Generation for Few-Shot Question Answering. CoRR abs/2405.09335 (2024) - 2023
- [c14]Rudolf Herdt, Maximilian Schmidt, Daniel Otero Baguer, Jean Le'Clerc Arrastia, Peter Maaß:
How GAN Generators can Invert Networks in Real-Time. ACML 2023: 422-437 - [i10]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 abs/2302.02181 (2023) - [i9]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 abs/2307.10474 (2023) - 2022
- [b1]Maximilian Schmidt:
Hybrid Deep Learning: how combining data-driven and model-based approaches solves inverse problems in computed tomography and beyond. Bremen University, Germany, 2022 - [j9]Sasan Jacob Rasti, Maximilian Schmidt, Lars Schinke, Marta Sophia Potyka, Liya Ma, Joachim Seifert, Peter Schegner:
Das Combined Energy Lab der TU Dresden - Testbed zur multi-energetischen Analyse vernetzter Energiezellen. Autom. 70(12): 1046-1058 (2022) - [j8]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: 1210-1222 (2022) - [c13]Enes Yigitbas, Maximilian Schmidt, Antonio Bucchiarone, Sebastian Gottschalk, Gregor Engels:
Gamification-based UML learning environment in virtual reality. MoDELS (Companion) 2022: 27-31 - [i8]Maximilian Schmidt, Andrea Bartezzaghi, Jasmina Bogojeska, A. Cristiano I. Malossi, Thang Vu:
Improving Low-Resource Question Answering using Active Learning in Multiple Stages. CoRR abs/2211.14880 (2022) - 2021
- [j7]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:
Quantitative Comparison of Deep Learning-Based Image Reconstruction Methods for Low-Dose and Sparse-Angle CT Applications. J. Imaging 7(3): 44 (2021) - [j6]Alexander Denker, Maximilian Schmidt, Johannes Leuschner, Peter Maass:
Conditional Invertible Neural Networks for Medical Imaging. J. Imaging 7(11): 243 (2021) - [c12]Henrik D. Mettler, Maximilian Schmidt, Walter Senn, Mihai A. Petrovici, Jakob Jordan:
Evolving neuronal plasticity rules using cartesian genetic programming. GECCO Companion 2021: 285-286 - [c11]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: 1-4 - [i7]Henrik D. Mettler, Maximilian Schmidt, Walter Senn, Mihai A. Petrovici, Jakob Jordan:
Evolving Neuronal Plasticity Rules using Cartesian Genetic Programming. CoRR abs/2102.04312 (2021) - [i6]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 abs/2111.11926 (2021) - 2020
- [c10]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: 279-286 - [c9]Maximilian Schmidt, Veit Müller, Holger Althaus, Norbert Elkmann:
Tactile-sensing apparatus for sensible catching of guided heavy masses. ETFA 2020: 484-491 - [i5]Daniel Otero Baguer, Johannes Leuschner, Maximilian Schmidt:
Computed Tomography Reconstruction Using Deep Image Prior and Learned Reconstruction Methods. CoRR abs/2003.04989 (2020) - [i4]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 abs/2005.01777 (2020)
2010 – 2019
- 2019
- [j5]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): 1940-1947 (2019) - [c8]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: 93-98 - [c7]Sebastian Schams, Jan Hauffa, Maximilian Schmidt, Georg Groh:
Market Systems as a Source of Individual Contributive Social Capital Scores. MuC 2019: 421-425 - [i3]Maximilian Schmidt, Marko Simic:
Normalizing flows for novelty detection in industrial time series data. CoRR abs/1906.06904 (2019) - [i2]Johannes Leuschner, Maximilian Schmidt, Daniel Otero Baguer, Peter Maaß:
The LoDoPaB-CT Dataset: A Benchmark Dataset for Low-Dose CT Reconstruction Methods. CoRR abs/1910.01113 (2019) - [i1]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 abs/1912.05459 (2019) - 2018
- [j4]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) - 2017
- [j3]Peter Gola, Gregor Thüsing, Maximilian Schmidt:
Was wird aus dem Beschäftigtendatenschutz? Datenschutz und Datensicherheit 41(4): 244-249 (2017) - [j2]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) - 2016
- [c6]Maximilian Schmidt, Cornelius Pöpel:
HETZI - Jump and Run: Development and Evaluation of a Gesture Controlled Game. FMT 2016: 91-99 - [c5]Tobias Heß, Peter Schegner, Maximilian Schmidt:
Studies on provision of ancillary services by distributed generation units and storage devices. ISGT Europe 2016: 1-6 - 2014
- [j1]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: 78 (2014) - [c4]Petra Hoepner, Maximilian Schmidt, Christian Welzel:
IT trends with impact on privacy and security. Open Identity Summit 2014: 121-126 - [c3]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: 1-7 - [c2]Maximilian Schmidt, Gustav Lammert, Tobias Heß, Peter Schegner:
Case study on primary frequency control with wind-turbines and photovoltaic plants. PSCC 2014: 1-7 - 2013
- [c1]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: 65-72
Coauthor Index
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last updated on 2024-10-23 20:35 CEST by the dblp team
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