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Thomas Pfeil
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2020 – today
- 2023
- [c6]Alexander Kugele, Thomas Pfeil, Michael Pfeiffer, Elisabetta Chicca:
How Many Events Make an Object? Improving Single-frame Object Detection on the 1 Mpx Dataset. CVPR Workshops 2023: 3913-3922 - 2022
- [c5]Manuel Nonnenmacher, Thomas Pfeil, Ingo Steinwart, David Reeb:
SOSP: Efficiently Capturing Global Correlations by Second-Order Structured Pruning. ICLR 2022 - [i6]Thomas Pfeil
, Miles D. Cranmer
A Neural Network Subgrid Model of the Early Stages of Planet Formation. CoRR abs/2211.04160 (2022) - 2021
- [c4]Alexander Kugele
Hybrid SNN-ANN: Energy-Efficient Classification and Object Detection for Event-Based Vision. GCPR 2021: 297-312 - [i5]Thomas Pfeil:
ItNet: iterative neural networks with tiny graphs for accurate and efficient anytime prediction. CoRR abs/2101.08685 (2021) - [i4]Manuel Nonnenmacher, Thomas Pfeil, Ingo Steinwart, David Reeb:
SOSP: Efficiently Capturing Global Correlations by Second-Order Structured Pruning. CoRR abs/2110.11395 (2021) - [i3]Alexander Kugele
Hybrid SNN-ANN: Energy-Efficient Classification and Object Detection for Event-Based Vision. CoRR abs/2112.03423 (2021)
2010 – 2019
- 2018
- [c3]Volker Fischer, Jan Köhler, Thomas Pfeil:
The streaming rollout of deep networks - towards fully model-parallel execution. NeurIPS 2018: 4043-4054 - [i2]Volker Fischer, Jan Köhler, Thomas Pfeil:
The streaming rollout of deep networks - towards fully model-parallel execution. CoRR abs/1806.04965 (2018) - 2017
- [c2]Mihai A. Petrovici
Pattern representation and recognition with accelerated analog neuromorphic systems. ISCAS 2017: 1-4 - [i1]Mihai A. Petrovici, Sebastian Schmitt, Johann Klähn, David Stöckel, Anna Schroeder, Guillaume Bellec, Johannes Bill, Oliver Breitwieser, Ilja Bytschok, Andreas Grübl, Maurice Güttler, Andreas Hartel, Stephan Hartmann, Dan Husmann de Oliveira, Kai Husmann, Sebastian Jeltsch, Vitali Karasenko, Mitja Kleider, Christoph Koke, Alexander Kononov, Christian Mauch, Paul Müller, Johannes Partzsch
Pattern representation and recognition with accelerated analog neuromorphic systems. CoRR abs/1703.06043 (2017) - 2015
- [b1]Thomas Pfeil:
Exploring the potential of brain-inspired computing. University of Heidelberg, Germany, 2015, pp. 1-191 - 2013
- [c1]Thomas Pfeil, Anne-Christine Scherzer
Neuromorphic learning towards nano second precision. IJCNN 2013: 1-5 - 2011
- [j1]Daniel Brüderle, Mihai A. Petrovici
A comprehensive workflow for general-purpose neural modeling with highly configurable neuromorphic hardware systems. Biol. Cybern. 104(4-5): 263-296 (2011)
Coauthor Index
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