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On the Transfer of Disentangled Representations in Realistic Settings


Oct 27, 2020
Andrea Dittadi, Frederik Träuble, Francesco Locatello, Manuel Wüthrich, Vaibhav Agrawal, Ole Winther, Stefan Bauer, Bernhard Schölkopf


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Optimal Variance Control of the Score Function Gradient Estimator for Importance Weighted Bounds


Aug 05, 2020
Valentin Liévin, Andrea Dittadi, Anders Christensen, Ole Winther


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SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows


Jul 06, 2020
Didrik Nielsen, Priyank Jaini, Emiel Hoogeboom, Ole Winther, Max Welling


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Closing the Dequantization Gap: PixelCNN as a Single-Layer Flow


Feb 06, 2020
Didrik Nielsen, Ole Winther


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LAVAE: Disentangling Location and Appearance


Sep 27, 2019
Andrea Dittadi, Ole Winther


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BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling


Feb 06, 2019
Lars Maaløe, Marco Fraccaro, Valentin Liévin, Ole Winther


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Attend, Copy, Parse - End-to-end information extraction from documents


Dec 18, 2018
Rasmus Berg Palm, Florian Laws, Ole Winther


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Recurrent Relational Networks


Oct 16, 2018
Rasmus Berg Palm, Ulrich Paquet, Ole Winther

* Accepted at NIPS 2018 

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Bayesian inference for spatio-temporal spike-and-slab priors


Dec 01, 2017
Michael Riis Andersen, Aki Vehtari, Ole Winther, Lars Kai Hansen

* Journal of Machine Learning Research, 18(139):1-58, 2017 
* 58 pages, 17 figures 

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A Disentangled Recognition and Nonlinear Dynamics Model for Unsupervised Learning


Oct 30, 2017
Marco Fraccaro, Simon Kamronn, Ulrich Paquet, Ole Winther

* NIPS 2017 

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Hash Embeddings for Efficient Word Representations


Sep 12, 2017
Dan Svenstrup, Jonas Meinertz Hansen, Ole Winther


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CloudScan - A configuration-free invoice analysis system using recurrent neural networks


Aug 24, 2017
Rasmus Berg Palm, Ole Winther, Florian Laws

* Presented at ICDAR 2017 

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End-to-End Information Extraction without Token-Level Supervision


Jul 16, 2017
Rasmus Berg Palm, Dirk Hovy, Florian Laws, Ole Winther

* http://speechnlp.github.io/2017 @ EMNLP 2017 

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Semi-Supervised Generation with Cluster-aware Generative Models


Apr 03, 2017
Lars Maaløe, Marco Fraccaro, Ole Winther


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Sequential Neural Models with Stochastic Layers


Nov 13, 2016
Marco Fraccaro, Søren Kaae Sønderby, Ulrich Paquet, Ole Winther

* NIPS 2016 

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Neural Machine Translation with Characters and Hierarchical Encoding


Oct 20, 2016
Alexander Rosenberg Johansen, Jonas Meinertz Hansen, Elias Khazen Obeid, Casper Kaae Sønderby, Ole Winther

* 8 pages, 7 figures 

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Self-Averaging Expectation Propagation


Aug 23, 2016
Burak Çakmak, Manfred Opper, Bernard H. Fleury, Ole Winther

* 12 pages 

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An Adaptive Resample-Move Algorithm for Estimating Normalizing Constants


Aug 15, 2016
Marco Fraccaro, Ulrich Paquet, Ole Winther

* 11 pages, 5 figures 

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Auxiliary Deep Generative Models


Jun 16, 2016
Lars Maaløe, Casper Kaae Sønderby, Søren Kaae Sønderby, Ole Winther

* Proceedings of the 33rd International Conference on Machine Learning, New York, NY, USA, 2016, JMLR: Workshop and Conference Proceedings volume 48, Proceedings of the 33rd International Conference on Machine Learning, New York, NY, USA, 2016 

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Ladder Variational Autoencoders


May 27, 2016
Casper Kaae Sønderby, Tapani Raiko, Lars Maaløe, Søren Kaae Sønderby, Ole Winther


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Bayesian leave-one-out cross-validation approximations for Gaussian latent variable models


May 23, 2016
Aki Vehtari, Tommi Mononen, Ville Tolvanen, Tuomas Sivula, Ole Winther

* Journal of Machine Learning Research, 17(103):1-38, 2016 

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Autoencoding beyond pixels using a learned similarity metric


Feb 10, 2016
Anders Boesen Lindbo Larsen, Søren Kaae Sønderby, Hugo Larochelle, Ole Winther


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Recurrent Spatial Transformer Networks


Sep 17, 2015
Søren Kaae Sønderby, Casper Kaae Sønderby, Lars Maaløe, Ole Winther


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Spatio-temporal Spike and Slab Priors for Multiple Measurement Vector Problems


Aug 19, 2015
Michael Riis Andersen, Ole Winther, Lars Kai Hansen

* 6 pages, 6 figures, accepted for presentation at SPARS 2015 

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Convolutional LSTM Networks for Subcellular Localization of Proteins


Mar 06, 2015
Søren Kaae Sønderby, Casper Kaae Sønderby, Henrik Nielsen, Ole Winther

* Algorithms for Computational Biology 9199 (2015) 68 

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Deep Belief Nets for Topic Modeling


Jan 18, 2015
Lars Maaloe, Morten Arngren, Ole Winther

* Accepted to the ICML-2014 Workshop on Knowledge-Powered Deep Learning for Text Mining 

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Protein Secondary Structure Prediction with Long Short Term Memory Networks


Jan 04, 2015
Søren Kaae Sønderby, Ole Winther

* v2: adds larger network with slightly better results, update author affiliations 

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Scalable Bayesian Modelling of Paired Symbols


Sep 10, 2014
Ulrich Paquet, Noam Koenigstein, Ole Winther

* 15 pages, 6 figures 

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Perturbative Corrections for Approximate Inference in Gaussian Latent Variable Models


Oct 25, 2013
Manfred Opper, Ulrich Paquet, Ole Winther

* 45 pages, 10 figures 

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Sparse Linear Identifiable Multivariate Modeling


Jun 23, 2011
Ricardo Henao, Ole Winther

* JMLR, 12(Mar):863-905, 2011 
* 45 pages, 17 figures 

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