Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for Michael Pfeiffer

Michael Pfeiffer

Bosch Center for Artificial Intelligence, Renningen, Germany

Investigation of Uncertainty of Deep Learning-based Object Classification on Radar Spectra

Jun 01, 2021
Kanil Patel, William Beluch, Kilian Rambach, Adriana-Eliza Cozma, Michael Pfeiffer, Bin Yang

* IEEE Radar Conference 2021 
* 6 pages 

  Access Paper or Ask Questions

Bosch Deep Learning Hardware Benchmark

Aug 24, 2020
Armin Runge, Thomas Wenzel, Dimitrios Bariamis, Benedikt Sebastian Staffler, Lucas Rego Drumond, Michael Pfeiffer

* Presented in MLBench: Workshop on Benchmarking Machine Learning Workloads (

  Access Paper or Ask Questions

Multi-Class Uncertainty Calibration via Mutual Information Maximization-based Binning

Jun 23, 2020
Kanil Patel, William Beluch, Bin Yang, Michael Pfeiffer, Dan Zhang

  Access Paper or Ask Questions

On-manifold Adversarial Data Augmentation Improves Uncertainty Calibration

Dec 16, 2019
Kanil Patel, William Beluch, Dan Zhang, Michael Pfeiffer, Bin Yang

  Access Paper or Ask Questions

Robust Anomaly Detection in Images using Adversarial Autoencoders

Jan 18, 2019
Laura Beggel, Michael Pfeiffer, Bernd Bischl

  Access Paper or Ask Questions

Data-driven Summarization of Scientific Articles

Apr 24, 2018
Nikola I. Nikolov, Michael Pfeiffer, Richard H. R. Hahnloser

* 8 pages, 3 figures. 7th International Workshop on Mining Scientific Publications, LREC 2018 

  Access Paper or Ask Questions

Semantic Segmentation of Colon Glands with Deep Convolutional Neural Networks and Total Variation Segmentation

Oct 10, 2017
Philipp Kainz, Michael Pfeiffer, Martin Urschler

* An extended version of this work has been published in PeerJ (, so please cite our journal version instead of this preprint 

  Access Paper or Ask Questions

Theory and Tools for the Conversion of Analog to Spiking Convolutional Neural Networks

Dec 13, 2016
Bodo Rueckauer, Iulia-Alexandra Lungu, Yuhuang Hu, Michael Pfeiffer

* 9 pages, 2 figures, presented at the workshop "Computing with Spikes" at NIPS 2016, Barcelona, Spain 

  Access Paper or Ask Questions

Deep counter networks for asynchronous event-based processing

Nov 02, 2016
Jonathan Binas, Giacomo Indiveri, Michael Pfeiffer

  Access Paper or Ask Questions

Phased LSTM: Accelerating Recurrent Network Training for Long or Event-based Sequences

Oct 29, 2016
Daniel Neil, Michael Pfeiffer, Shih-Chii Liu

* Selected for an oral presentation at NIPS, 2016 

  Access Paper or Ask Questions

Prediction of Manipulation Actions

Oct 03, 2016
Cornelia Fermüller, Fang Wang, Yezhou Yang, Konstantinos Zampogiannis, Yi Zhang, Francisco Barranco, Michael Pfeiffer

* 15 pages, 12 figures, 6 tables 

  Access Paper or Ask Questions

Gland Segmentation in Colon Histology Images: The GlaS Challenge Contest

Sep 01, 2016
Korsuk Sirinukunwattana, Josien P. W. Pluim, Hao Chen, Xiaojuan Qi, Pheng-Ann Heng, Yun Bo Guo, Li Yang Wang, Bogdan J. Matuszewski, Elia Bruni, Urko Sanchez, Anton Böhm, Olaf Ronneberger, Bassem Ben Cheikh, Daniel Racoceanu, Philipp Kainz, Michael Pfeiffer, Martin Urschler, David R. J. Snead, Nasir M. Rajpoot

  Access Paper or Ask Questions

Training Deep Spiking Neural Networks using Backpropagation

Aug 31, 2016
Jun Haeng Lee, Tobi Delbruck, Michael Pfeiffer

  Access Paper or Ask Questions

Precise deep neural network computation on imprecise low-power analog hardware

Jun 23, 2016
Jonathan Binas, Daniel Neil, Giacomo Indiveri, Shih-Chii Liu, Michael Pfeiffer

  Access Paper or Ask Questions

Spiking Analog VLSI Neuron Assemblies as Constraint Satisfaction Problem Solvers

Apr 06, 2016
Jonathan Binas, Giacomo Indiveri, Michael Pfeiffer

* Accepted at ISCAS 2016 

  Access Paper or Ask Questions