Mathias Berglund

According to our database1, Mathias Berglund authored at least 14 papers between 2013 and 2017.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2017
Unsupervised Networks, Stochasticity and Optimization in Deep Learning.
PhD thesis, 2017

2016
Tagger: Deep Unsupervised Perceptual Grouping.
CoRR, 2016

Tagger: Deep Unsupervised Perceptual Grouping.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Scalable Gradient-Based Tuning of Continuous Regularization Hyperparameters.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Stochastic gradient estimate variance in contrastive divergence and persistent contrastive divergence.
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

2015
Measuring the usefulness of hidden units in Boltzmann machines with mutual information.
Neural Networks, 2015

Semi-Supervised Learning with Ladder Network.
CoRR, 2015

Scalable Gradient-Based Tuning of Continuous Regularization Hyperparameters.
CoRR, 2015

Bidirectional Recurrent Neural Networks as Generative Models - Reconstructing Gaps in Time Series.
CoRR, 2015

Semi-supervised Learning with Ladder Networks.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Bidirectional Recurrent Neural Networks as Generative Models.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2014
Techniques for Learning Binary Stochastic Feedforward Neural Networks.
CoRR, 2014

2013
Stochastic Gradient Estimate Variance in Contrastive Divergence and Persistent Contrastive Divergence.
CoRR, 2013

Measuring the Usefulness of Hidden Units in Boltzmann Machines with Mutual Information.
Proceedings of the Neural Information Processing - 20th International Conference, 2013


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