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Publication search results
found 47 matches
- 2024
- Dominik Meier, Jan Philip Wahle, Terry Ruas, Bela Gipp:
Towards Human Understanding of Paraphrase Types in ChatGPT. CoRR abs/2407.02302 (2024) - 2023
- Robert Kovacs, Lukas Rambold, Lukas Fritzsche, Dominik Meier, Jotaro Shigeyama, Shohei Katakura, Ran Zhang, Patrick Baudisch:
Demonstrating Trusscillator: a System for Fabricating Human-Scale Human-Powered Oscillating Devices. CHI Extended Abstracts 2023: 440:1-440:5 - Dominik Meier, Ipek Ensari, Stefan Konigorski:
Designing and evaluating an online reinforcement learning agent for physical exercise recommendations in N-of-1 trials. ML4H@NeurIPS 2023: 340-352 - Dirk U. Wulff, Dominik S. Meier, Rui Mata:
Using novel data and ensemble models to improve automated labeling of Sustainable Development Goals. CoRR abs/2301.11353 (2023) - Dominik Meier, Ipek Ensari, Stefan Konigorski:
Designing and evaluating an online reinforcement learning agent for physical exercise recommendations in N-of-1 trials. CoRR abs/2309.14156 (2023) - 2022
- Tom Braun, Ben Hurdelhey, Dominik Meier, Petr Tsayun, Christopher Hagedorn, Johannes Huegle, Rainer Schlosser:
GPUCSL: GPU-Based Library for Causal Structure Learning. ICDM (Workshops) 2022: 1236-1239 - Dominik Jens Elias Waibel, Scott Atwell, Matthias Meier, Carsten Marr, Bastian Rieck:
Capturing Shape Information with Multi-scale Topological Loss Terms for 3D Reconstruction. MICCAI (4) 2022: 150-159 - Thijs Roumen, Ingo Apel, Thomas Kern, Martin Taraz, Ritesh Sharma, Ole Schlueter, Jeffrey Johnson, Dominik Meier, Conrad Lempert, Patrick Baudisch:
Structure-Preserving Editing of Plates and Volumes for Laser Cutting. SCF 2022: 10:1-10:12 - Bernhard Spaan, Hans Dembinski, Gerwin Meier, Jean-Marco Alameddine, Dominik Baack, Mirko Bunse, Jens Teubner, Thomas Lindemann, Maximilian Linhoff, Tim Ruhe:
Monte Carlo Simulations. Mach. Learn. under Resour. Constraints Vol. 2 (2) 2022: 103-143 - Dominik Jens Elias Waibel, Scott Atwell, Matthias Meier, Carsten Marr, Bastian Rieck:
Capturing Shape Information with Multi-Scale Topological Loss Terms for 3D Reconstruction. CoRR abs/2203.01703 (2022) - 2021
- Julian Göltz, Laura Kriener, Andreas Baumbach, Sebastian Billaudelle, Oliver Breitwieser, Benjamin Cramer, Dominik Dold, Ákos F. Kungl, Walter Senn, Johannes Schemmel, Karlheinz Meier, Mihai A. Petrovici:
Fast and energy-efficient neuromorphic deep learning with first-spike times. Nat. Mach. Intell. 3(9): 823-835 (2021) - Stefano Cerri, Oula Puonti, Dominik S. Meier, Jens Wuerfel, Mark Mühlau, Hartwig R. Siebner, Koen Van Leemput:
A contrast-adaptive method for simultaneous whole-brain and lesion segmentation in multiple sclerosis. NeuroImage 225: 117471 (2021) - Dominik Meier, Toni Mattis, Robert Hirschfeld:
Toward Exploratory Understanding of Software using Test Suites. Programming 2021: 60-67 - Robert Kovacs, Lukas Rambold, Lukas Fritzsche, Dominik Meier, Jotaro Shigeyama, Shohei Katakura, Ran Zhang, Patrick Baudisch:
Trusscillator: a System for Fabricating Human-Scale Human-Powered Oscillating Devices. UIST 2021: 1074-1088 - Dirk U. Wulff, Rui Mata, Dominik S. Meier:
text2sdg: An open-source solution to monitoring sustainable development goals from text. CoRR abs/2110.05856 (2021) - 2020
- Tamás Fergencs, Dominika Illés, Olga Pilawka, Florian Meier:
Human-Centered Humanities: Using Stimulus Material for Requirements Elicitation in the Design Process of a Digital Archive. DHN 2020: 235-246 - Sebastian Billaudelle, Yannik Stradmann, Korbinian Schreiber, Benjamin Cramer, Andreas Baumbach, Dominik Dold, Julian Göltz, Ákos Ferenc Kungl, Timo C. Wunderlich, Andreas Hartel, Eric Müller, Oliver Breitwieser, Christian Mauch, Mitja Kleider, Andreas Grübl, David Stöckel, Christian Pehle, Arthur Heimbrecht, Philipp Spilger, Gerd Kiene, Vitali Karasenko, Walter Senn, Mihai A. Petrovici, Johannes Schemmel, Karlheinz Meier:
Versatile Emulation of Spiking Neural Networks on an Accelerated Neuromorphic Substrate. ISCAS 2020: 1-5 - Sebastian Billaudelle, Yannik Stradmann, Korbinian Schreiber, Benjamin Cramer, Andreas Baumbach, Dominik Dold, Julian Göltz, Ákos Ferenc Kungl, Timo C. Wunderlich, Andreas Hartel, Eric Müller, Oliver Breitwieser, Christian Mauch, Mitja Kleider, Andreas Grübl, David Stöckel, Christian Pehle, Arthur Heimbrecht, Philipp Spilger, Gerd Kiene, Vitali Karasenko, Walter Senn, Mihai A. Petrovici, Johannes Schemmel, Karlheinz Meier:
Live Demonstration: Versatile Emulation of Spiking Neural Networks on an Accelerated Neuromorphic Substrate. ISCAS 2020: 1 - Stefano Cerri, Oula Puonti, Dominik S. Meier, Jens Wuerfel, Mark Mühlau, Hartwig R. Siebner, Koen Van Leemput:
A Contrast-Adaptive Method for Simultaneous Whole-Brain and Lesion Segmentation in Multiple Sclerosis. CoRR abs/2005.05135 (2020) - 2019
- Thomas Merkle, Dominik Meier, Sandrine Wagner, Axel Tessmann, Michael Kuri, Hermann Massler, Arnulf Leuther:
Broadband 240-GHz Radar for Non-Destructive Testing of Composite Materials. IEEE J. Solid State Circuits 54(9): 2388-2401 (2019) - Dominik Dold, Ilja Bytschok, Ákos F. Kungl, Andreas Baumbach, Oliver Breitwieser, Walter Senn, Johannes Schemmel, Karlheinz Meier, Mihai A. Petrovici:
Stochasticity from function - Why the Bayesian brain may need no noise. Neural Networks 119: 200-213 (2019) - Dominik Meier, Christian Zech, Benjamin Baumann, Torsten Link, Markus Rosch, Michael Schlechtweg, Jutta Kuhn, Leonhard M. Reindl:
Classification of Epoxy Wedges in Glass-Fiber Reinforced Plastics Using a Millimeter-Wave Imaging System in W-Band. WiSNet 2019: 1-4 - Julian Göltz, Andreas Baumbach, Sebastian Billaudelle, Oliver Breitwieser, Dominik Dold, Laura Kriener, Ákos Ferenc Kungl, Walter Senn, Johannes Schemmel, Karlheinz Meier, Mihai A. Petrovici:
Fast and deep neuromorphic learning with time-to-first-spike coding. CoRR abs/1912.11443 (2019) - Sebastian Billaudelle, Yannik Stradmann, Korbinian Schreiber, Benjamin Cramer, Andreas Baumbach, Dominik Dold, Julian Göltz, Ákos F. Kungl, Timo C. Wunderlich, Andreas Hartel, Eric Müller, Oliver Breitwieser, Christian Mauch, Mitja Kleider, Andreas Grübl, David Stöckel, Christian Pehle, Arthur Heimbrecht, Philipp Spilger, Gerd Kiene, Vitali Karasenko, Walter Senn, Mihai A. Petrovici, Johannes Schemmel, Karlheinz Meier:
Versatile emulation of spiking neural networks on an accelerated neuromorphic substrate. CoRR abs/1912.12980 (2019) - 2018
- Ákos F. Kungl, Sebastian Schmitt, Johann Klähn, Paul Müller, Andreas Baumbach, Dominik Dold, Alexander Kugele, Nico Gürtler, Luziwei Leng, Eric Müller, Christoph Koke, Mitja Kleider, Christian Mauch, Oliver Breitwieser, Maurice Güttler, Dan Husmann de Oliveira, Kai Husmann, Joscha Ilmberger, Andreas Hartel, Vitali Karasenko, Andreas Grübl, Johannes Schemmel, Karlheinz Meier, Mihai A. Petrovici:
Generative models on accelerated neuromorphic hardware. CoRR abs/1807.02389 (2018) - Dominik Dold, Ilja Bytschok, Ákos F. Kungl, Andreas Baumbach, Oliver Breitwieser, Walter Senn, Johannes Schemmel, Karlheinz Meier, Mihai A. Petrovici:
Stochasticity from function - why the Bayesian brain may need no noise. CoRR abs/1809.08045 (2018) - 2017
- Lorenz Meier, Dominik Honegger, Vilhjalmur Vilhjalmsson, Marc Pollefeys:
Real-time stereo matching failure prediction and resolution using orthogonal stereo setups. ICRA 2017: 5638-5643 - 2015
- Max L. Ahnen, Matteo Balbo, Matthias Bergmann, Adrian Biland, Thomas Bretz, Jens Buß, Daniela Dorner, Sabrina Einecke, J. Freiwald, Christina Hempfling, Dorothée Hildebrand, Gareth Hughes, Werner Lüstermann, Etienne Lyard, Karl Mannheim, Katja Meier, Sebastian Achim Mueller, Dominik Neise, Andrii Y. Neronov, A.-K. Overkemping, Aleksander Paravac, Felicitas Paüss, Wolfgang Rhode, T. Steinbring, Fabian Temme, Julia Thaele, Simona Toscano, Patrick Vogler, Roland Walter, A. Wilbert:
Data compression for the first G-APD Cherenkov Telescope. Astron. Comput. 12: 191-199 (2015) - Simon Mure, Thomas Grenier, Dominik S. Meier, Charles R. G. Guttmann, Hugues Benoit-Cattin:
Unsupervised spatio-temporal filtering of image sequences. A mean-shift specification. Pattern Recognit. Lett. 68: 48-55 (2015) - Lorenz Meier, Dominik Honegger, Marc Pollefeys:
PX4: A node-based multithreaded open source robotics framework for deeply embedded platforms. ICRA 2015: 6235-6240
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