Paper Presentation: Convolutional RBM
Convolutional RBM, Roman Schulte-Sasse, 29.06.2017
Journal Club
Paper Presentation: PixelCNN(++) / PixelRNN
PixelCNN(++) / PixelRNN, Leon Sixt, 22.06.2017 Pixel Recurrent Neural Networks Conditional Image Generation with PixelCNN Decoders PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture Likelihood and Other Modifications
Paper Discussion: Optimization as a Model for Few-Shot Learning
Optimization as a Model for Few-Shot Learning, 15.6.2017
Paper Presentation: Learning recurrent representations for hierarchical behavior modeling
Learning recurrent representations for hierarchical behavior modeling – Hauke Mönck, 08.06.2017
Paper Discussion: Statistical Modeling: The Two Cultures
Statistical Modeling: The Two Cultures, 1.6.2017
Paper Discussion: Latent Dirichlet Allocation
Latent Dirichlet Allocation, 18.5.2017
Paper Discussion: Learning to Act by Predicting the Future
Learning to Act by Predicting the Future, 11.5.2017
Paper Presentation: Spectral CNN
Spectral CNN – Roman Schulte-Sasse, 4.5.2017
Paper presentation: Adversarially Learned Inference
Adversarially Learned Inference – Benjamin Wild, 16.3.2017
Paper Presentation: Variational Autoencoder
Variational Autoencoder – Benjamin Wild, 9.3.2017