S. Nowozin

发表

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

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

Structured Learning and Prediction in Computer Vision

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

f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization

Sebastian Nowozin, Ryota Tomioka, Botond Cseke, 2016, NIPS.

On feature combination for multiclass object classification

Sebastian Nowozin, Peter V. Gehler, S. Nowozin, 2009, 2009 IEEE 12th International Conference on Computer Vision.

Optimization for Machine Learning

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

Which Training Methods for GANs do actually Converge?

Sebastian Nowozin, Andreas Geiger, Lars M. Mescheder, 2018, ICML.

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

Sebastian Nowozin, Ryota Tomioka, Diane Bouchacourt, 2017, AAAI.

Discriminative Subsequence Mining for Action Classification

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

Hybrid VAE: Improving Deep Generative Models using Partial Observations pdf

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

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

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

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..

DeepCoder: Learning to Write Programs pdf

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

Decision Jungles: Compact and Rich Models for Classification

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

Efficient Nonlinear Markov Models for Human Motion

Sebastian Nowozin, Peter V. Gehler, Andreas M. Lehrmann, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

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

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

Meta-Learning Probabilistic Inference for Prediction

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

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.

1 The Power of LP Relaxation for MAP Inference

Christoph H. Lampert, S. Nowozin, P. Gehler, 2013 .

gBoost: a mathematical programming approach to graph classification and regression

Sebastian Nowozin, Taku Kudo, Koji Tsuda, 2009, Machine Learning.

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

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

Information Theoretic Clustering Using Minimum Spanning Trees

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

Hydra: Preserving Ensemble Diversity for Model Distillation pdf

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

ROBUST BAYESIAN NEURAL NETWORKS

Richard E. Turner, Alexander L. Gaunt, José Miguel Hernández-Lobato, 2019 .

Smoothed Coordinate Descent for MAP Inference

Christoph H. Lampert, S. Nowozin, P. Gehler, 2014 .

1 Smoothed Coordinate Descent for MAP Inference

S. Nowozin, 2014 .

Liver Perfusion using Level Set Methods

S. Nowozin, 2006 .

Partial VAE for Hybrid Recommender System

José Miguel Hernández-Lobato, S. Nowozin, Noam Koenigstein, 2018 .

1 AD 3 : A Fast Decoder for Structured Prediction

S. Nowozin, 2013 .

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

Joshua V. Dillon, Bastiaan S. Veeling, Tim Salimans, 2020 .

ISA-VAE: Independent Subspace Analysis with Variational Autoencoders

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

TR-178 Infinite Kernel Learning

S. Nowozin, P. Gehler, Peter Gehler, 2008 .

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.

Bayesian Inference for NMR Spectroscopy with Applications to Chemical Quantification

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

Supplementary Materials : Global Connectivity Potentials for Random Field Models

S. Nowozin, 2009 .

Spatiotemporal Saliency Detection: State Of Art

S. Nowozin, 2016 .

TaskNorm: Rethinking Batch Normalization for Meta-Learning

Richard E. Turner, S. Nowozin, Jonathan Gordon, 2020, ICML.

FiT: Parameter Efficient Few-shot Transfer Learning for Personalized and Federated Image Classification

Richard E. Turner, S. Nowozin, Massimiliano Patacchiola, 2022, ArXiv.

On the Parameterization of Gaussian Mean Field Posteriors in Bayesian Neural Networks

Jasper Snoek, Tim Salimans, Stephan Mandt, 2019 .

Learning from Past Treatments and Their Outcome Improves Prediction of In Vivo Response to Anti-HIV Therapy

Thomas Lengauer, Jasmina Bogojeska, Andre Altmann, 2011, Statistical applications in genetics and molecular biology.

FiT: Parameter Efficient Few-shot Transfer Learning for Personalized and Federated Image Classification

Richard E. Turner, S. Nowozin, Massimiliano Patacchiola, 2022, ArXiv.

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

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

Structured Prediction for Event Detection

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

AD3: A Fast Decoder for Structured Prediction

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

Generalized Sequential Tree-Reweighted Message Passing

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

Structured Prediction for Object Boundary Detection in Images

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

Contextual Squeeze-and-Excitation for Efficient Few-Shot Image Classification

Richard E. Turner, S. Nowozin, Massimiliano Patacchiola, 2022, ArXiv.

Mathematical Programming Methods for Learning from Structured Data: Applications to Molecular QSAR Analysis, HIV Drug Resistance Prediction, and Image Categorisation

Takeaki Uno, Taku Kudo, Koji Tsuda, 2007 .

Global connectivity potentials for random field models

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

SGX-Enabled Oblivious Machine Learning

Cédric Fournet, Kapil Vaswani, Olga Ohrimenko, 2016 .

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

Bastiaan S. Veeling, Tim Salimans, F. Wenzel, 2020, ICML.

Contextual Squeeze-and-Excitation for Efficient Few-Shot Image Classification

Richard E. Turner, S. Nowozin, Massimiliano Patacchiola, 2022, NeurIPS.

High-bandwidth Close-Range Information Transport through Light Pipes

Ioan A. Stefanovici, S. Nowozin, G. O'Shea, 2023, 2301.06496.

Memory Lens: How Much Memory Does an Agent Use? pdf

Katja Hofmann, Sebastian Nowozin, Christoph Dann, 2016, ArXiv.

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).

Object Classification using Local Image Features

Sebastian Nowozin, S. Nowozin, 2006 .

Learning with structured data: applications to computer vision

Sebastian Nowozin, S. Nowozin, Sebastian Nowozin, 2009 .

Oblivious Multi-Party Machine Learning on Trusted Processors

Sebastian Nowozin, Cédric Fournet, Kapil Vaswani, 2016, USENIX Security Symposium.

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

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

Advanced Structured Prediction

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

Faster Hoeffding Racing: Bernstein Races via Jackknife Estimates

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

1 Structured Learning from Cheap Data

S. Nowozin, 2013 .

Image Segmentation UsingHigher-Order Correlation Clustering

Sebastian Nowozin, Pushmeet Kohli, Chang Dong Yoo, 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Task-Specific Image Partitioning

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

Higher-Order Correlation Clustering for Image Segmentation

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

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

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

Timewarp: Transferable Acceleration of Molecular Dynamics by Learning Time-Coarsened Dynamics

Andrew Y. K. Foong, S. Nowozin, Marc Brockschmidt, 2023, ArXiv.

Consolidating the Meta-Learning Zoo: A Unifying Perspective as Posterior Predictive Inference

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

Model-Based Tracking at 300Hz Using Raw Time-of-Flight Observations

Andrew W. Fitzgibbon, Sebastian Nowozin, Daniel Cremers, 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

Stabilizing Training of Generative Adversarial Networks through Regularization

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

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

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

Discriminative Non-blind Deblurring

Sebastian Nowozin, Jeremy Jancsary, Carsten Rother, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

Deterministic Variational Inference for Robust Bayesian Neural Networks

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

The Numerics of GANs

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

Weighted Substructure Mining for Image Analysis

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

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).

Dynamic Time-of-Flight

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

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.

DSAC — Differentiable RANSAC for Camera Localization

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

Deep Directional Statistics: Pose Estimation with Uncertainty Quantification

Sebastian Nowozin, Peter V. Gehler, Sergey Prokudin, 2018, ECCV.

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

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

Joint Demosaicing and Denoising via Learned Nonparametric Random Fields

Andrew W. Fitzgibbon, Sebastian Nowozin, Jeremy Jancsary, 2014, IEEE Transactions on Image Processing.

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.

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

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

Cascades of Regression Tree Fields for Image Restoration

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

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

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

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

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

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

Sebastian Nowozin, Richard E. Turner, James Requeima, 2019, NeurIPS.

Versa: Versatile and Efficient Few-shot Learning

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

Global connectivity potentials for random field models

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

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

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

A decoupled approach to exemplar-based unsupervised learning

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

Learning to Filter Object Detections

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

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

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

FiT: Parameter Efficient Few-shot Transfer Learning for Personalized and Federated Image Classification

Richard E. Turner, S. Nowozin, Massimiliano Patacchiola, 2022, ICLR.

Memory Efficient Meta-Learning with Large Images pdf

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

Instructing people for training gestural interactive systems

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

Independent Subspace Analysis for Unsupervised Learning of Disentangled Representations

Sebastian Nowozin, Richard E. Turner, Jan Stühmer, 2019, AISTATS.

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

José Miguel Hernández-Lobato, S. Nowozin, Konstantina Palla, 2018, ICML.

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

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

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

Jasper Snoek, Tim Salimans, Stephan Mandt, 2020, ICML.

DISCO Nets : DISsimilarity COefficients Networks

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

Learning Step Size Controllers for Robust Neural Network Training

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

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

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

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

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

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.

Discriminative Non-blind Deblurring

C. Rother, S. Roth, S. Nowozin, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

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.

Improved Information Gain Estimates for Decision Tree Induction pdf

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

Optimization for Machine Learning

Stephen J. Wright, S. Sra, S. Nowozin, 2010 .

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

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

The Mutual Autoencoder: Controlling Information in Latent Code Representations

Sebastian Nowozin, Max Welling, Nate Kushman, 2018 .

Decision tree fields

Sebastian Nowozin, Toby Sharp, Pushmeet Kohli, 2011, 2011 International Conference on Computer Vision.

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.

The Atari Grand Challenge Dataset pdf

Katja Hofmann, Sebastian Nowozin, Lucas Beyer, 2017, ArXiv.

Frequent Subgraph Retrieval in Geometric Graph Databases

Sebastian Nowozin, Koji Tsuda, S. Nowozin, 2008, 2008 Eighth IEEE International Conference on Data Mining.

Optimization for Machine Learning

Stephen J. Wright, S. Sra, S. Nowozin, 2013 .

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

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