Publications (18)
Unsupervised Feature Learning for low-level Local Image Descriptors
Christian Osendorfer, Justin Bayer, Sebastian Urban +1
Efficient Empowerment
Maximilian Karl, Justin Bayer, Patrick van der Smagt
ML-based tactile sensor calibration: A universal approach
Maximilian Karl, Artur Lohrer, Dhananjay Shah +5
Bayesian Learning of Neural Network Architectures
Georgi Dikov, Patrick van der Smagt, Justin Bayer
Fast Adaptive Weight Noise
Justin Bayer, Maximilian Karl, Daniela Korhammer +1
Variational Inference for On-line Anomaly Detection in High-Dimensional Time Series
Maximilian Soelch, Justin Bayer, Marvin Ludersdorfer +1
Convolutional Neural Networks learn compact local image descriptors
Christian Osendorfer, Justin Bayer, Patrick van der Smagt
On Fast Dropout and its Applicability to Recurrent Networks
Justin Bayer, Christian Osendorfer, Daniela Korhammer +3
Fast Approximate Geodesics for Deep Generative Models
Nutan Chen, Francesco Ferroni, Alexej Klushyn +3
Theano: A Python framework for fast computation of mathematical expressions
The Theano Development Team, Rami Al-Rfou, Guillaume Alain +110
Learning Stochastic Recurrent Networks
Justin Bayer, Christian Osendorfer
Regularizing Recurrent Networks - On Injected Noise and Norm-based Methods
Saahil Ognawala, Justin Bayer
Approximate Bayesian inference in spatial environments
Atanas Mirchev, Baris Kayalibay, Maximilian Soelch +2
Metrics for Deep Generative Models
Nutan Chen, Alexej Klushyn, Richard Kurle +3
Learning Sequence Neighbourhood Metrics
Justin Bayer, Christian Osendorfer, Patrick van der Smagt
Variational inference of latent state sequences using Recurrent Networks
Justin Bayer, Christian Osendorfer
Unsupervised Real-Time Control through Variational Empowerment
Maximilian Karl, Maximilian Soelch, Philip Becker-Ehmck +3
Unsupervised preprocessing for Tactile Data
Maximilian Karl, Justin Bayer, Patrick van der Smagt