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03/28/2019
Regularizing Trajectory Optimization with Denoising Autoencoders
Trajectory optimization with learned dynamics models can often suffer fr...
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12/10/2018
Improving Model-Based Control and Active Exploration with Reconstruction Uncertainty Optimization
Model based predictions of future trajectories of a dynamical system oft...
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09/06/2017
On the exact relationship between the denoising function and the data distribution
We prove an exact relationship between the optimal denoising function an...
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07/28/2017
Recurrent Ladder Networks
We propose a recurrent extension of the Ladder networks whose structure ...
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03/06/2017
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results
The recently proposed Temporal Ensembling has achieved state-of-the-art ...
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06/21/2016
Tagger: Deep Unsupervised Perceptual Grouping
We present a framework for efficient perceptual inference that explicitl...
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07/09/2015
Semi-Supervised Learning with Ladder Networks
We combine supervised learning with unsupervised learning in deep neural...
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04/30/2015
Lateral Connections in Denoising Autoencoders Support Supervised Learning
We show how a deep denoising autoencoder with lateral connections can be...
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12/22/2014
Denoising autoencoder with modulated lateral connections learns invariant representations of natural images
Suitable lateral connections between encoder and decoder are shown to al...
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11/28/2014
From neural PCA to deep unsupervised learning
A network supporting deep unsupervised learning is presented. The networ...
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01/15/2013
Pushing Stochastic Gradient towards Second-Order Methods -- Backpropagation Learning with Transformations in Nonlinearities
Recently, we proposed to transform the outputs of each hidden neuron in ...
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07/04/2012
