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TaskNorm: Rethinking Batch Normalization for Meta-Learning

Mar 06, 2020
John Bronskill, Jonathan Gordon, James Requeima, Sebastian Nowozin, Richard E. Turner


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The k-tied Normal Distribution: A Compact Parameterization of Gaussian Mean Field Posteriors in Bayesian Neural Networks

Feb 07, 2020
Jakub Swiatkowski, Kevin Roth, Bastiaan S. Veeling, Linh Tran, Joshua V. Dillon, Stephan Mandt, Jasper Snoek, Tim Salimans, Rodolphe Jenatton, Sebastian Nowozin


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How Good is the Bayes Posterior in Deep Neural Networks Really?

Feb 06, 2020
Florian Wenzel, Kevin Roth, Bastiaan S. Veeling, Jakub ÅšwiÄ…tkowski, Linh Tran, Stephan Mandt, Jasper Snoek, Tim Salimans, Rodolphe Jenatton, Sebastian Nowozin


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Hydra: Preserving Ensemble Diversity for Model Distillation

Jan 14, 2020
Linh Tran, Bastiaan S. Veeling, Kevin Roth, Jakub Swiatkowski, Joshua V. Dillon, Jasper Snoek, Stephan Mandt, Tim Salimans, Sebastian Nowozin, Rodolphe Jenatton


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Independent Subspace Analysis for Unsupervised Learning of Disentangled Representations

Sep 05, 2019
Jan Stühmer, Richard E. Turner, Sebastian Nowozin


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Icebreaker: Element-wise Active Information Acquisition with Bayesian Deep Latent Gaussian Model

Aug 14, 2019
Wenbo Gong, Sebastian Tschiatschek, Richard Turner, Sebastian Nowozin, José Miguel Hernández-Lobato, Cheng Zhang


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Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive Processes

Jun 18, 2019
James Requeima, Jonathan Gordon, John Bronskill, Sebastian Nowozin, Richard E. Turner


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Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift

Jun 06, 2019
Yaniv Ovadia, Emily Fertig, Jie Ren, Zachary Nado, D Sculley, Sebastian Nowozin, Joshua V. Dillon, Balaji Lakshminarayanan, Jasper Snoek


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Occupancy Networks: Learning 3D Reconstruction in Function Space

Dec 10, 2018
Lars Mescheder, Michael Oechsle, Michael Niemeyer, Sebastian Nowozin, Andreas Geiger


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Contextual Face Recognition with a Nested-Hierarchical Nonparametric Identity Model

Nov 19, 2018
Daniel C. Castro, Sebastian Nowozin

* NeurIPS 2018 Workshop on All of Bayesian Nonparametrics ([email protected] 2018). arXiv admin note: substantial text overlap with arXiv:1807.07872 

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EDDI: Efficient Dynamic Discovery of High-Value Information with Partial VAE

Oct 12, 2018
Chao Ma, Sebastian Tschiatschek, Konstantina Palla, José Miguel Hernández-Lobato, Sebastian Nowozin, Cheng Zhang


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Fixing Variational Bayes: Deterministic Variational Inference for Bayesian Neural Networks

Oct 09, 2018
Anqi Wu, Sebastian Nowozin, Edward Meeds, Richard E. Turner, José Miguel Hernández-Lobato, Alexander L. Gaunt

* 9 pages, 5 figures 

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Which Training Methods for GANs do actually Converge?

Jul 31, 2018
Lars Mescheder, Andreas Geiger, Sebastian Nowozin

* International Conference on Machine Learning 2018 
* conference 

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From Face Recognition to Models of Identity: A Bayesian Approach to Learning about Unknown Identities from Unsupervised Data

Jul 20, 2018
Daniel C. Castro, Sebastian Nowozin

* Accepted for publication at ECCV 2018 

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The Numerics of GANs

Jun 11, 2018
Lars Mescheder, Sebastian Nowozin, Andreas Geiger


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Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks

Jun 11, 2018
Lars Mescheder, Sebastian Nowozin, Andreas Geiger


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Decision-Theoretic Meta-Learning: Versatile and Efficient Amortization of Few-Shot Learning

May 31, 2018
Jonathan Gordon, John Bronskill, Matthias Bauer, Sebastian Nowozin, Richard E. Turner


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Adversarially Robust Training through Structured Gradient Regularization

May 22, 2018
Kevin Roth, Aurelien Lucchi, Sebastian Nowozin, Thomas Hofmann


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PixelDefend: Leveraging Generative Models to Understand and Defend against Adversarial Examples

May 21, 2018
Yang Song, Taesup Kim, Sebastian Nowozin, Stefano Ermon, Nate Kushman

* ICLR 2018 

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Deep Directional Statistics: Pose Estimation with Uncertainty Quantification

May 09, 2018
Sergey Prokudin, Peter Gehler, Sebastian Nowozin


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DSAC - Differentiable RANSAC for Camera Localization

Mar 21, 2018
Eric Brachmann, Alexander Krull, Sebastian Nowozin, Jamie Shotton, Frank Michel, Stefan Gumhold, Carsten Rother

* CVPR 2017 

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Hybrid VAE: Improving Deep Generative Models using Partial Observations

Nov 30, 2017
Sergey Tulyakov, Andrew Fitzgibbon, Sebastian Nowozin


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Stabilizing Training of Generative Adversarial Networks through Regularization

Nov 07, 2017
Kevin Roth, Aurelien Lucchi, Sebastian Nowozin, Thomas Hofmann


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The Atari Grand Challenge Dataset

May 31, 2017
Vitaly Kurin, Sebastian Nowozin, Katja Hofmann, Lucas Beyer, Bastian Leibe


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Multi-Level Variational Autoencoder: Learning Disentangled Representations from Grouped Observations

May 24, 2017
Diane Bouchacourt, Ryota Tomioka, Sebastian Nowozin


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PoseAgent: Budget-Constrained 6D Object Pose Estimation via Reinforcement Learning

Apr 11, 2017
Alexander Krull, Eric Brachmann, Sebastian Nowozin, Frank Michel, Jamie Shotton, Carsten Rother


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DeepCoder: Learning to Write Programs

Mar 08, 2017
Matej Balog, Alexander L. Gaunt, Marc Brockschmidt, Sebastian Nowozin, Daniel Tarlow

* Submitted to ICLR 2017 

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Memory Lens: How Much Memory Does an Agent Use?

Nov 21, 2016
Christoph Dann, Katja Hofmann, Sebastian Nowozin

* Presented at NIPS 2016 Workshop on Interpretable Machine Learning in Complex Systems 

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Probabilistic Duality for Parallel Gibbs Sampling without Graph Coloring

Nov 21, 2016
Lars Mescheder, Sebastian Nowozin, Andreas Geiger


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DISCO Nets: DISsimilarity COefficient Networks

Oct 28, 2016
Diane Bouchacourt, M. Pawan Kumar, Sebastian Nowozin


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