Thomas Pfeil

According to our database, Thomas Pfeil authored at least 11 papers between 2011 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

How Many Events Make an Object? Improving Single-frame Object Detection on the 1 Mpx Dataset.

Alexander Kugele, Thomas Pfeil, Michael Pfeiffer, Elisabetta Chicca

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

A Neural Network Subgrid Model of the Early Stages of Planet Formation.

Thomas Pfeil, Miles D. Cranmer, Shirley Ho, Philip J. Armitage, Tilman Birnstiel, Hubert Klahr

CoRR, 2022

SOSP: Efficiently Capturing Global Correlations by Second-Order Structured Pruning.

Manuel Nonnenmacher, Thomas Pfeil, Ingo Steinwart, David Reeb

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

ItNet: iterative neural networks with tiny graphs for accurate and efficient anytime prediction.

Thomas Pfeil

CoRR, 2021

Hybrid SNN-ANN: Energy-Efficient Classification and Object Detection for Event-Based Vision.

Alexander Kugele, Thomas Pfeil, Michael Pfeiffer, Elisabetta Chicca

Proceedings of the Pattern Recognition - 43rd DAGM German Conference, DAGM GCPR 2021, Bonn, Germany, September 28, 2021

2018

The streaming rollout of deep networks - towards fully model-parallel execution.

Volker Fischer, Jan Köhler, Thomas Pfeil

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

Pattern representation and recognition with accelerated analog neuromorphic systems.

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, Thomas Pfeil, Stefan Schiefer, Stefan Scholze, Anand Subramoney, Vasilis N. Thanasoulis, Bernhard Vogginger, Robert Legenstein, Wolfgang Maass, René Schüffny, Christian Mayr, Johannes Schemmel, Karlheinz Meier

CoRR, 2017

Pattern representation and recognition with accelerated analog neuromorphic systems.

Mihai A. Petrovici, Sebastian Schmitt, Johann Klähn, Robert D. St. Louis, 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, Eric Müller, Paul Müller, Johannes Partzsch, Thomas Pfeil, Stefan Schiefer, Stefan Scholze, Anand Subramoney, Vasilis N. Thanasoulis, Bernhard Vogginger, Robert Legenstein, Wolfgang Maass, René Schüffny, Christian Mayr, Johannes Schemmel, Karlheinz Meier

Proceedings of the IEEE International Symposium on Circuits and Systems, 2017

2015

Exploring the potential of brain-inspired computing.

Thomas Pfeil

PhD thesis, 2015

2013

Neuromorphic learning towards nano second precision.

Thomas Pfeil, Anne-Christine Scherzer, Johannes Schemmel, Karlheinz Meier

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

2011

A comprehensive workflow for general-purpose neural modeling with highly configurable neuromorphic hardware systems.

Daniel Brüderle, Mihai A. Petrovici, Bernhard Vogginger, Matthias Ehrlich, Thomas Pfeil, Sebastian Millner, Andreas Grübl, Karsten Wendt, Eric Müller, Marc-Olivier Schwartz, Dan Husmann de Oliveira, Sebastian Jeltsch, Johannes Fieres, Moritz Schilling, Paul Müller, Oliver Breitwieser, Venelin Petkov, Lyle Muller, Andrew P. Davison, Pradeep Krishnamurthy, Jens Kremkow, Mikael Lundqvist, Eilif Mueller, Johannes Partzsch, Stefan Scholze, Lukas Zühl, Christian Mayr, Alain Destexhe, Markus Diesmann, Tobias C. Potjans, Anders Lansner, René Schüffny, Johannes Schemmel, Karlheinz Meier

Biol. Cybern., 2011