Asja Fischer

According to our database1, Asja Fischer authored at least 30 papers between 2010 and 2018.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.



In proceedings 
PhD thesis 





Population-Contrastive-Divergence: Does consistency help with RBM training?
Pattern Recognition Letters, 2018

Improving Response Selection in Multi-turn Dialogue Systems.
CoRR, 2018

DNN's Sharpest Directions Along the SGD Trajectory.
CoRR, 2018

Incorporating Literals into Knowledge Graph Embeddings.
CoRR, 2018

Width of Minima Reached by Stochastic Gradient Descent is Influenced by Learning Rate to Batch Size Ratio.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

Improving Response Selection in Multi-Turn Dialogue Systems by Incorporating Domain Knowledge.
Proceedings of the 22nd Conference on Computational Natural Language Learning, 2018

STDP-Compatible Approximation of Backpropagation in an Energy-Based Model.
Neural Computation, 2017

Graph-based predictable feature analysis.
Machine Learning, 2017

Three Factors Influencing Minima in SGD.
CoRR, 2017

On the regularization of Wasserstein GANs.
CoRR, 2017

A Closer Look at Memorization in Deep Networks.
CoRR, 2017

Neural Network-based Question Answering over Knowledge Graphs on Word and Character Level.
Proceedings of the 26th International Conference on World Wide Web, 2017

A Closer Look at Memorization in Deep Networks.
Proceedings of the 34th International Conference on Machine Learning, 2017

How to Center Deep Boltzmann Machines.
Journal of Machine Learning Research, 2016

Graph-based Predictable Feature Analysis.
CoRR, 2016

Bidirectional Helmholtz Machines.
Proceedings of the 33nd International Conference on Machine Learning, 2016

A bound for the convergence rate of parallel tempering for sampling restricted Boltzmann machines.
Theor. Comput. Sci., 2015

Training Restricted Boltzmann Machines.
KI, 2015

Population-Contrastive-Divergence: Does Consistency help with RBM training?
CoRR, 2015

Training opposing directed models using geometric mean matching.
CoRR, 2015

An objective function for STDP.
CoRR, 2015

Difference Target Propagation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Training restricted Boltzmann machines: An introduction.
Pattern Recognition, 2014

The flip-the-state transition operator for restricted Boltzmann machines.
Machine Learning, 2013

How to Center Binary Restricted Boltzmann Machines.
CoRR, 2013

Approximation properties of DBNs with binary hidden units and real-valued visible units.
Proceedings of the 30th International Conference on Machine Learning, 2013

An Introduction to Restricted Boltzmann Machines.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2012

Bounding the Bias of Contrastive Divergence Learning.
Neural Computation, 2011

Training RBMs based on the signs of the CD approximation of the log-likelihood derivatives.
Proceedings of the ESANN 2011, 2011

Empirical Analysis of the Divergence of Gibbs Sampling Based Learning Algorithms for Restricted Boltzmann Machines.
Proceedings of the Artificial Neural Networks - ICANN 2010, 2010