Sebastian Nowozin
Orcid: 0000-0003-0347-0852
According to our database1,
Sebastian Nowozin
authored at least 94 papers
between 2007 and 2023.
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Bibliography
2023
Proceedings of the 29th Symposium on Operating Systems Principles, 2023
Timewarp: Transferable Acceleration of Molecular Dynamics by Learning Time-Coarsened Dynamics.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
FiT: Parameter Efficient Few-shot Transfer Learning for Personalized and Federated Image Classification.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
2021
Disentangling the Roles of Curation, Data-Augmentation and the Prior in the Cold Posterior Effect.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
2020
Proceedings of the 37th International Conference on Machine Learning, 2020
The k-tied Normal Distribution: A Compact Parameterization of Gaussian Mean Field Posteriors in Bayesian Neural Networks.
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Independent Subspace Analysis for Unsupervised Learning of Disentangled Representations.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020
2019
Icebreaker: Element-wise Active Information Acquisition with Bayesian Deep Latent Gaussian Model.
CoRR, 2019
Can you trust your model's uncertainty? Evaluating predictive uncertainty under dataset shift.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Fast and Flexible Multi-Task Classification using Conditional Neural Adaptive Processes.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Icebreaker: Element-wise Efficient Information Acquisition with a Bayesian Deep Latent Gaussian Model.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
Proceedings of the 7th International Conference on Learning Representations, 2019
Proceedings of the 7th International Conference on Learning Representations, 2019
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019
2018
CoRR, 2018
Fixing Variational Bayes: Deterministic Variational Inference for Bayesian Neural Networks.
CoRR, 2018
Decision-Theoretic Meta-Learning: Versatile and Efficient Amortization of Few-Shot Learning.
CoRR, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
PixelDefend: Leveraging Generative Models to Understand and Defend against Adversarial Examples.
Proceedings of the 6th International Conference on Learning Representations, 2018
Debiasing Evidence Approximations: On Importance-weighted Autoencoders and Jackknife Variational Inference.
Proceedings of the 6th International Conference on Learning Representations, 2018
Proceedings of the 10th USENIX Workshop on Hot Topics in Storage and File Systems, 2018
Proceedings of the Computer Vision - ECCV 2018, 2018
From Face Recognition to Models of Identity: A Bayesian Approach to Learning About Unknown Identities from Unsupervised Data.
Proceedings of the Computer Vision - ECCV 2018, 2018
Multi-Level Variational Autoencoder: Learning Disentangled Representations From Grouped Observations.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
IEEE Trans. Pattern Anal. Mach. Intell., 2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks.
Proceedings of the 34th International Conference on Machine Learning, 2017
Proceedings of the 5th International Conference on Learning Representations, 2017
Proceedings of the Pattern Recognition - 39th German Conference, 2017
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017
2016
IEEE Trans. Pattern Anal. Mach. Intell., 2016
Proceedings of the 25th USENIX Security Symposium, 2016
f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016
2015
A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems.
Int. J. Comput. Vis., 2015
The informed sampler: A discriminative approach to Bayesian inference in generative computer vision models.
Comput. Vis. Image Underst., 2015
Proceedings of the 2015 IEEE Winter Conference on Applications of Computer Vision, 2015
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015
2014
IEEE Trans. Image Process., 2014
IEEE Trans. Pattern Anal. Mach. Intell., 2014
Proceedings of the 31th International Conference on Machine Learning, 2014
A Bayesian method to quantifying chemical composition using NMR: Application to porous media systems.
Proceedings of the 22nd European Signal Processing Conference, 2014
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014
2013
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013
Proceedings of the 30th International Conference on Machine Learning, 2013
Proceedings of the IEEE International Conference on Computer Vision, 2013
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013
A Comparative Study of Modern Inference Techniques for Discrete Energy Minimization Problems.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013
Proceedings of the Algorithmic Learning Theory - 24th International Conference, 2013
2012
Proceedings of the 29th International Conference on Machine Learning, 2012
Loss-Specific Training of Non-Parametric Image Restoration Models: A New State of the Art.
Proceedings of the Computer Vision - ECCV 2012, 2012
Proceedings of the Pattern Recognition, 2012
Proceedings of the Pattern Recognition, 2012
Regression Tree Fields - An efficient, non-parametric approach to image labeling problems.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2012
2011
Tighter Relaxations for MAP-MRF Inference: A Local Primal-Dual Gap based Separation Algorithm.
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011
Found. Trends Comput. Graph. Vis., 2011
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011
Proceedings of the IEEE International Conference on Computer Vision, 2011
Proceedings of the Pattern Recognition - 33rd DAGM Symposium, Frankfurt/Main, Germany, August 31, 2011
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011
2010
Global Interactions in Random Field Models: A Potential Function Ensuring Connectedness.
SIAM J. Imaging Sci., 2010
Proceedings of the Computer Vision - ECCV 2010, 2010
2009
Mach. Learn., 2009
Solution stability in linear programming relaxations: graph partitioning and unsupervised learning.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009
Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009
Let the kernel figure it out; Principled learning of pre-processing for kernel classifiers.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2009
2008
Proceedings of the Machine Learning, 2008
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008
2007
Proceedings of the Mining and Learning with Graphs, 2007
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007