papers
Publications (10)
cs.CL2018
Data-driven Summarization of Scientific Articles
Nikola I. Nikolov, Michael Pfeiffer, Richard H. R. Hahnloser
stat.ML2016
Theory and Tools for the Conversion of Analog to Spiking Convolutional Neural Networks
Bodo Rueckauer, Iulia-Alexandra Lungu, Yuhuang Hu +1
cs.NE2016
Deep counter networks for asynchronous event-based processing
Jonathan Binas, Giacomo Indiveri, Michael Pfeiffer
cs.LG2019
Robust Anomaly Detection in Images using Adversarial Autoencoders
Laura Beggel, Michael Pfeiffer, Bernd Bischl
cs.NE2016
Training Deep Spiking Neural Networks using Backpropagation
Jun Haeng Lee, Tobi Delbruck, Michael Pfeiffer
cs.LG2016
Phased LSTM: Accelerating Recurrent Network Training for Long or Event-based Sequences
Daniel Neil, Michael Pfeiffer, Shih-Chii Liu
cs.CV2017
Semantic Segmentation of Colon Glands with Deep Convolutional Neural Networks and Total Variation Segmentation
Philipp Kainz, Michael Pfeiffer, Martin Urschler
cs.CV2016
Prediction of Manipulation Actions
Cornelia Fermüller, Fang Wang, Yezhou Yang +4
cs.CV2016
Gland Segmentation in Colon Histology Images: The GlaS Challenge Contest
Korsuk Sirinukunwattana, Josien P. W. Pluim, Hao Chen +16
cs.NE2016
Spiking Analog VLSI Neuron Assemblies as Constraint Satisfaction Problem Solvers
Jonathan Binas, Giacomo Indiveri, Michael Pfeiffer