Sebastian Nowozin

Sebastian Nowozin, Christoph H. Lampert, Paramveer S. Dhillon, 2009, 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.

Non-parametric CRFs for Image Labeling

Sebastian Nowozin, Jeremy Jancsary, Carsten Rother, 2012 .

Optimal Decisions from Probabilistic Models: The Intersection-over-Union Case

Sebastian Nowozin, S. Nowozin, Sebastian Nowozin, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

Meta-Learning Probabilistic Inference for Prediction

Sebastian Nowozin, Richard E. Turner, John Bronskill, 2018, ICLR.

Bayesian EDDI: Sequential Variable Selection with Bayesian Partial VAE

Sebastian Nowozin, Sebastian Tschiatschek, Cheng Zhang, 2019 .

Learning Step Size Controllers for Robust Neural Network Training

Sebastian Nowozin, Jonathan Taylor, Christian Daniel, 2016, AAAI.

Instructing people for training gestural interactive systems

Helena M. Mentis, Sebastian Nowozin, Pushmeet Kohli, 2012, CHI.

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

Sebastian Nowozin, Richard E. Turner, Jonathan Gordon, 2018, ArXiv.

Bayesian Time-of-Flight for Realtime Shape, Illumination and Albedo

Sebastian Nowozin, Christoph Dann, Amit Adam, 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.

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

Yang Song, Sebastian Nowozin, Stefano Ermon, 2017, ICLR.

Generative Entity Networks: Disentangling Entitites and Attributes in Visual Scenes using Partial Natural Language Descriptions

Sebastian Nowozin, Nate Kushman, Charlie Nash, 2018 .

Optimization for Machine Learning

Stephen J. Wright, Sebastian Nowozin, Suvrit Sra, 2013 .

Adversarially Robust Training through Structured Gradient Regularization pdf

Sebastian Nowozin, Thomas Hofmann, Aurélien Lucchi, 2018, ArXiv.

A decoupled approach to exemplar-based unsupervised learning

Sebastian Nowozin, Gökhan H. Bakir, S. Nowozin, 2008, ICML '08.

Session two – Artificial Intelligence and Machine Learning in Cambridge 2016

Sebastian Nowozin, Antonio Criminisi, Yoram Bachrach, 2016 .

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

Sebastian Nowozin, Jasper Snoek, Jie Ren, 2019, NeurIPS.

Hybrid VAE: Improving Deep Generative Models using Partial Observations pdf

Andrew W. Fitzgibbon, Sebastian Nowozin, Sergey Tulyakov, 2017, ArXiv.

Task-Specific Image Partitioning

Sebastian Nowozin, Pushmeet Kohli, Chang Dong Yoo, 2013, IEEE Transactions on Image Processing.

DISCO Nets : DISsimilarity COefficients Networks

Sebastian Nowozin, Pawan Kumar Mudigonda, Diane Bouchacourt, 2016, NIPS.

A Non-parametric Bayesian Network Prior of Human Pose

Sebastian Nowozin, Peter V. Gehler, Andreas M. Lehrmann, 2013, 2013 IEEE International Conference on Computer Vision.

Dynamic Time-of-Flight

Sebastian Nowozin, Michael Schober, Amit Adam, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Solution stability in linear programming relaxations: graph partitioning and unsupervised learning

Sebastian Nowozin, Stefanie Jegelka, S. Nowozin, 2009, ICML '09.

Structured Prediction for Event Detection

Sebastian Nowozin, Peter V. Gehler, Jeremy Jancsary, 2014 .

Advanced Structured Prediction

Sebastian Nowozin, Peter V. Gehler, Jeremy Jancsary, 2014 .

Infinite Kernel Learning

Sebastian Nowozin, Peter V. Gehler, 2008, NIPS 2008.

Structured Learning and Prediction in Computer Vision

Sebastian Nowozin, Christoph H. Lampert, S. Nowozin, 2011, Found. Trends Comput. Graph. Vis..

Loss-Specific Training of Non-Parametric Image Restoration Models: A New State of the Art

Sebastian Nowozin, Jeremy Jancsary, Carsten Rother, 2012, ECCV.

Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks pdf

Sebastian Nowozin, Andreas Geiger, Lars M. Mescheder, 2017, ICML.

Occupancy Networks: Learning 3D Reconstruction in Function Space

Sebastian Nowozin, Andreas Geiger, Lars M. Mescheder, 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Introduction: Optimization and Machine Learning

Stephen J. Wright, Sebastian Nowozin, Suvrit Sra, 2011 .

A Bayesian method to quantifying chemical composition using NMR: Application to porous media systems

Andrew Blake, Sebastian Nowozin, Andrew Gordon Wilson, 2014, 2014 22nd European Signal Processing Conference (EUSIPCO).

Regression Tree Fields — An efficient, non-parametric approach to image labeling problems

Sebastian Nowozin, Jeremy Jancsary, Toby Sharp, 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

Learning with structured data

Sebastian Nowozin, 2009 .

On Parameter Learning in CRF-Based Approaches to Object Class Image Segmentation

Sebastian Nowozin, Peter V. Gehler, Christoph H. Lampert, 2010, ECCV.

Faster Hoeffding Racing: Bernstein Races via Jackknife Estimates

Po-Ling Loh, Sebastian Nowozin, Po-Ling Loh, 2013, ALT.

Debiasing Evidence Approximations: On Importance-weighted Autoencoders and Jackknife Variational Inference

Sebastian Nowozin, S. Nowozin, Sebastian Nowozin, 2018, ICLR.

Interleaved Regression Tree Field Cascades for Blind Image Deconvolution

Sebastian Nowozin, Jeremy Jancsary, Carsten Rother, 2015, 2015 IEEE Winter Conference on Applications of Computer Vision.

PAC-Bayesian Risk Bounds and Learning Algorithms for the Regression Approach to Structured Output Prediction

Sebastian Nowozin, Peter V. Gehler, Jeremy Jancsary, 2014 .

DeepCoder: Learning to Write Programs pdf

Sebastian Nowozin, Marc Brockschmidt, Alexander L. Gaunt, 2016, ICLR.

Learning to Filter Object Detections

Sebastian Nowozin, Peter V. Gehler, Daniel Kappler, 2017, GCPR.

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

Sebastian Nowozin, Sebastian Tschiatschek, Cheng Zhang, 2019, NeurIPS.

ISA-VAE: Independent Subspace Analysis with Variational Autoencoders

Sebastian Nowozin, Richard E. Turner, Jan Stühmer, 2018 .

TaskNorm: Rethinking Batch Normalization for Meta-Learning

Sebastian Nowozin, Richard E. Turner, James Requeima, 2020, ICML.

The Informed Sampler: A Discriminative Approach to Bayesian Inference in Computer Vision

Sebastian Nowozin, Peter V. Gehler, Varun Jampani, 2014 .

Discriminative Subsequence Mining for Action Classification

Sebastian Nowozin, Koji Tsuda, Gökhan H. Bakir, 2007, 2007 IEEE 11th International Conference on Computer Vision.

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

Sebastian Nowozin, Daniel C. Castro, Daniel Coelho de Castro, 2018, ECCV.

The Numerics of GANs

Sebastian Nowozin, Andreas Geiger, Lars M. Mescheder, 2017, NIPS.

Entropy-Based Latent Structured Output Prediction

Sebastian Nowozin, M. Pawan Kumar, Diane Bouchacourt, 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

The informed sampler: A discriminative approach to Bayesian inference in generative computer vision models

Sebastian Nowozin, Peter V. Gehler, Varun Jampani, 2014, Comput. Vis. Image Underst..

Stabilizing Training of Generative Adversarial Networks through Regularization

Sebastian Nowozin, Thomas Hofmann, Aurélien Lucchi, 2017, NIPS.

Let the kernel figure it out; Principled learning of pre-processing for kernel classifiers

Sebastian Nowozin, Peter V. Gehler, Peter Gehler, 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

Hydra: Preserving Ensemble Diversity for Model Distillation pdf

Sebastian Nowozin, Stephan Mandt, Jasper Snoek, 2020, ArXiv.

Cascades of Regression Tree Fields for Image Restoration

Sebastian Nowozin, Jeremy Jancsary, Carsten Rother, 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.

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

Sebastian Nowozin, Sebastian Tschiatschek, Cheng Zhang, 2018, ICML.

A Comparative Study of Modern Inference Techniques for Discrete Energy Minimization Problems

Sebastian Nowozin, Nikos Komodakis, Christoph Schnörr, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

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

Sebastian Nowozin, Stephan Mandt, Jasper Snoek, 2020, ICML.

A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems

Sebastian Nowozin, Nikos Komodakis, Christoph Schnörr, 2014, International Journal of Computer Vision.

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

Eric Brachmann, Sebastian Nowozin, Carsten Rother, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Information Theoretic Clustering Using Minimum Spanning Trees

Sebastian Nowozin, Christoph H. Lampert, Andreas C. Müller, 2012, DAGM/OAGM Symposium.

Dynamic Structured Model Selection

Sebastian Nowozin, Peter V. Gehler, Jeremy Jancsary, 2014 .

Action Points: A Representation for Low-latency Online Human Action Recognition

Sebastian Nowozin, S. Nowozin, Sebastian Nowozin, 2012 .

Global Interactions in Random Field Models: A Potential Function Ensuring Connectedness

Sebastian Nowozin, Christoph H. Lampert, S. Nowozin, 2010, SIAM J. Imaging Sci..

Training Structured Predictors Through Iterated Logistic Regression

Sebastian Nowozin, Peter V. Gehler, Jeremy Jancsary, 2014 .

Constructing Composite Likelihoods in General Random Fields

Sebastian Nowozin, 2013 .

Structured Learning from Cheap Data

Sebastian Nowozin, Peter V. Gehler, Jeremy Jancsary, 2014 .

Higher-Order Correlation Clustering for Image Segmentation

Sebastian Nowozin, Pushmeet Kohli, Chang Dong Yoo, 2011, NIPS.

Perturb-and-MAP Random Fields: Reducing Random Sampling to Optimization, with Applications in Computer Vision

Sebastian Nowozin, Peter V. Gehler, Jeremy Jancsary, 2014 .

Fixing Variational Bayes: Deterministic Variational Inference for Bayesian Neural Networks pdf

Sebastian Nowozin, Richard E. Turner, Alexander L. Gaunt, 2018, ArXiv.

Decision Jungles: Compact and Rich Models for Classification

Sebastian Nowozin, Toby Sharp, Antonio Criminisi, 2013, NIPS.

Decision Tree Fields: An Efficient Non-parametric Random Field Model for Image Labeling

Sebastian Nowozin, Toby Sharp, Pushmeet Kohli, 2013 .

DSAC — Differentiable RANSAC for Camera Localization

Eric Brachmann, Sebastian Nowozin, Carsten Rother, 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Weighted Substructure Mining for Image Analysis

Sebastian Nowozin, Takeaki Uno, Taku Kudo, 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

Contextual Face Recognition with a Nested-Hierarchical Nonparametric Identity Model pdf

Sebastian Nowozin, Daniel C. Castro, Daniel Coelho de Castro, 2018, ArXiv.

Disentangling the Roles of Curation, Data-Augmentation and the Prior in the Cold Posterior Effect pdf

Sebastian Nowozin, Thomas Hofmann, Kevin Roth, 2021, ArXiv.

Precise characterization of the prior predictive distribution of deep ReLU networks pdf

Sebastian Nowozin, Thomas Hofmann, Kevin Roth, 2021, NeurIPS.

Memory Efficient Meta-Learning with Large Images pdf

Sebastian Nowozin, Richard E. Turner, Massimiliano Patacchiola, 2021, NeurIPS.

Optimizing the Measure of Performance

Sebastian Nowozin, Peter V. Gehler, Jeremy Jancsary, 2014 .

Combining appearance and motion for human action classification in videos

Sebastian Nowozin, Christoph H. Lampert, Paramveer S. Dhillon, 2009, CVPR 2009.

Global connectivity potentials for random field models

Sebastian Nowozin, Christoph H. Lampert, S. Nowozin, 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

Hydra: Preserving Ensemble Diversity for Model Distillation pdf

Sebastian Nowozin, Jasper Snoek, Tim Salimans, 2020, ArXiv.

Bayesian Inference for NMR Spectroscopy with Applications to Chemical Quantification

Sebastian Nowozin, Andrew Gordon Wilson, Lynn F. Gladden, 2014, 1402.3580.