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Maximilian Schmidt
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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
GaMoVR: Gamification-based UML learning environment in virtual reality. Sci. Comput. Program. 231: 103029 (2024) - [j10]Tom Lütjen
Learning-Based Approaches for Reconstructions With Inexact Operators in nanoCT Applications. IEEE Trans. Computational Imaging 10: 522-534 (2024) - [c18]Maximilian Schmidt, Andrea Bartezzaghi, Ngoc Thang Vu:
Prompting-based Synthetic Data Generation for Few-Shot Question Answering. LREC/COLING 2024: 13168-13178 - [c17]Swantje Plambeck, Maximilian Schmidt, Audine Subias, Louise Travé-Massuyès, Görschwin Fey:
Usability of Symbolic Regression for Hybrid System Identification - System Classes and Parameters (Short Paper). DX 2024: 30:1-30:14 - [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
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
Prompting-based Synthetic Data Generation for Few-Shot Question Answering. CoRR abs/2405.09335 (2024) - 2023
- [c14]Rudolf Herdt
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
Das Combined Energy Lab der TU Dresden - Testbed zur multi-energetischen Analyse vernetzter Energiezellen. Autom. 70(12): 1046-1058 (2022) - [j8]Riccardo Barbano
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
Gamification-based UML learning environment in virtual reality. MoDELS (Companion) 2022: 27-31 - [i8]Maximilian Schmidt, Andrea Bartezzaghi
Improving Low-Resource Question Answering using Active Learning in Multiple Stages. CoRR abs/2211.14880 (2022) - 2021
- [j7]Johannes Leuschner
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
Conditional Invertible Neural Networks for Medical Imaging. J. Imaging 7(11): 243 (2021) - [c12]Henrik D. Mettler, Maximilian Schmidt, Walter Senn
Evolving neuronal plasticity rules using cartesian genetic programming. GECCO Companion 2021: 285-286 - [c11]Peter Schatschneider, Maximilian Schmidt
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
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
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
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
The LoDoPaB-CT Dataset: A Benchmark Dataset for Low-Dose CT Reconstruction Methods. CoRR abs/1910.01113 (2019) - [i1]Christian Etmann, Maximilian Schmidt
Deep Relevance Regularization: Interpretable and Robust Tumor Typing of Imaging Mass Spectrometry Data. CoRR abs/1912.05459 (2019) - 2018
- [j4]Maximilian Schmidt
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
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
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
VisNEST - Interactive analysis of neural activity data. BioVis 2013: 65-72
Coauthor Index
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last updated on 2024-11-27 20:32 CET by the dblp team
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