Publications (33)
Bayesian inference for spatio-temporal spike-and-slab priors
Michael Riis Andersen, Aki Vehtari, Ole Winther +1
Dynamical Functional Theory for Compressed Sensing
Burak Ãakmak, Manfred Opper, Ole Winther +1
Protein Secondary Structure Prediction with Long Short Term Memory Networks
Søren Kaae Sønderby, Ole Winther
End-to-End Information Extraction without Token-Level Supervision
Rasmus Berg Palm, Dirk Hovy, Florian Laws +1
Sequential Neural Models with Stochastic Layers
Marco Fraccaro, Søren Kaae Sønderby, Ulrich Paquet +1
An Adaptive Resample-Move Algorithm for Estimating Normalizing Constants
Marco Fraccaro, Ulrich Paquet, Ole Winther
Auxiliary Deep Generative Models
Lars Maaløe, Casper Kaae Sønderby, Søren Kaae Sønderby +1
Predictive Active Set Selection Methods for Gaussian Processes
Ricardo Henao, Ole Winther
Spatio-temporal Spike and Slab Priors for Multiple Measurement Vector Problems
Michael Riis Andersen, Ole Winther, Lars Kai Hansen
Perturbative Corrections for Approximate Inference in Gaussian Latent Variable Models
Manfred Opper, Ulrich Paquet, Ole Winther
S-AMP for Non-linear Observation Models
Burak Ãakmak, Ole Winther, Bernard H. Fleury
Neural Machine Translation with Characters and Hierarchical Encoding
Alexander Rosenberg Johansen, Jonas Meinertz Hansen, Elias Khazen Obeid +2
Hash Embeddings for Efficient Word Representations
Dan Svenstrup, Jonas Meinertz Hansen, Ole Winther
Teaching computers to fold proteins
Ole Winther, Anders Krogh
Autoencoding beyond pixels using a learned similarity metric
Anders Boesen Lindbo Larsen, Søren Kaae Sønderby, Hugo Larochelle +1
FindZebra: A search engine for rare diseases
Radu Dragusin, Paula Petcu, Christina Lioma +6
Ladder Variational Autoencoders
Casper Kaae Sønderby, Tapani Raiko, Lars Maaløe +2
CloudScan - A configuration-free invoice analysis system using recurrent neural networks
Rasmus Berg Palm, Ole Winther, Florian Laws
Semi-Supervised Generation with Cluster-aware Generative Models
Lars Maaløe, Marco Fraccaro, Ole Winther
Convolutional LSTM Networks for Subcellular Localization of Proteins
Søren Kaae Sønderby, Casper Kaae Sønderby, Henrik Nielsen +1
A Disentangled Recognition and Nonlinear Dynamics Model for Unsupervised Learning
Marco Fraccaro, Simon Kamronn, Ulrich Paquet +1
Tractable approximations for probabilistic models: The adaptive TAP mean field approach
Manfred Opper, Ole Winther
Machine learning methods for nanolaser characterization
Darko Zibar, Molly Piels, Ole Winther +2
Bayesian leave-one-out cross-validation approximations for Gaussian latent variable models
Aki Vehtari, Tommi Mononen, Ville Tolvanen +2
A Theory of Solving TAP Equations for Ising Models with General Invariant Random Matrices
Manfred Opper, Burak Ãakmak, Ole Winther
Recurrent Spatial Transformer Networks
Søren Kaae Sønderby, Casper Kaae Sønderby, Lars Maaløe +1
Sparse Linear Identifiable Multivariate Modeling
Ricardo Henao, Ole Winther
Recurrent Relational Networks
Rasmus Berg Palm, Ulrich Paquet, Ole Winther
S-AMP: Approximate Message Passing for General Matrix Ensembles
Burak Ãakmak, Ole Winther, Bernard H. Fleury
Deep Belief Nets for Topic Modeling
Lars Maaloe, Morten Arngren, Ole Winther
A deep learning approach to identify local structures in atomic-resolution transmission electron microscopy images
Jacob Madsen, Pei Liu, Jens Kling +4
Scalable Bayesian Modelling of Paired Symbols
Ulrich Paquet, Noam Koenigstein, Ole Winther
Self-Averaging Expectation Propagation
Burak Ãakmak, Manfred Opper, Bernard H. Fleury +1