Sebastian Nowozin
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
49
Venues
12
Active years
2007–2023
Best venue rank
A*
Where they publish
Papers
49 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2023 | ICLR | FiT: Parameter Efficient Few-shot Transfer Learning for Personalized and Federated Image Classification. | Aliaksandra Shysheya, John Bronskill, Massimiliano Patacchiola, Sebastian Nowozin, Richard E. Turner |
| 2023 | SOSP | Project Silica: Towards Sustainable Cloud Archival Storage in Glass. | Patrick Anderson, Erika Blancada Aranas, Youssef Assaf, Raphael Behrendt, Richard Black, Marco Caballero, Pashmina Cameron, Burcu Canakci, Thales De Carvalho, Andromachi Chatzieleftheriou, Rebekah Storan Clarke, James Clegg, Daniel Cletheroe, Bridgette Cooper, Tim Deegan, Austin Donnelly, Rokas Drevinskas, Alexander L. Gaunt, Christos Gkantsidis, Ariel Gomez Diaz, Istvn Haller, Freddie Hong, Teodora Ilieva, Shashidhar Joshi, Russell Joyce, Mint Kunkel, David Lara, Sergey Legtchenko, Fanglin Linda Liu, Bruno Magalhes, Alana Marzoev, Marvin McNett, Jayashree Mohan, Michael Myrah, Truong Nguyen, Sebastian Nowozin, Aaron Ogus, Hiske Overweg, Antony I. T. Rowstron, Maneesh Sah, Masaaki Sakakura, Peter Scholtz, Nina Schreiner, Omer Sella, Adam Smith, Ioan A. Stefanovici, David Sweeney, Benn Thomsen, Govert Verkes, Phil Wainman, Jonathan Westcott, Luke Weston, Charles Whittaker, Pablo Wilke Berenguer, Hugh Williams, Thomas Winkler, Stefan Winzeck |
| 2020 | AISTATS | Independent Subspace Analysis for Unsupervised Learning of Disentangled Representations. | Jan Stuehmer, Richard E. Turner, Sebastian Nowozin |
| 2020 | ICML | TaskNorm: Rethinking Batch Normalization for Meta-Learning. | John Bronskill, Jonathan Gordon, James Requeima, Sebastian Nowozin, Richard E. Turner |
| 2020 | ICML | The k-tied Normal Distribution: A Compact Parameterization of Gaussian Mean Field Posteriors in Bayesian Neural Networks. | Jakub Swiatkowski, Kevin Roth, Bastiaan S. Veeling, Linh Tran, Joshua V. Dillon, Jasper Snoek, Stephan Mandt, Tim Salimans, Rodolphe Jenatton, Sebastian Nowozin |
| 2020 | ICML | How Good is the Bayes Posterior in Deep Neural Networks Really? | Florian Wenzel, Kevin Roth, Bastiaan S. Veeling, Jakub Swiatkowski, Linh Tran, Stephan Mandt, Jasper Snoek, Tim Salimans, Rodolphe Jenatton, Sebastian Nowozin |
| 2019 | CVPR | Occupancy Networks: Learning 3D Reconstruction in Function Space. | Lars M. Mescheder, Michael Oechsle, Michael Niemeyer, Sebastian Nowozin, Andreas Geiger |
| 2019 | ICLR | Meta-Learning Probabilistic Inference for Prediction. | Jonathan Gordon, John Bronskill, Matthias Bauer, Sebastian Nowozin, Richard E. Turner |
| 2019 | ICLR | Deterministic Variational Inference for Robust Bayesian Neural Networks. | Anqi Wu, Sebastian Nowozin, Edward Meeds, Richard E. Turner, Jos Miguel Hernndez-Lobato, Alexander L. Gaunt |
| 2019 | ICML | EDDI: Efficient Dynamic Discovery of High-Value Information with Partial VAE. | Chao Ma, Sebastian Tschiatschek, Konstantina Palla, Jos Miguel Hernndez-Lobato, Sebastian Nowozin, Cheng Zhang |
| 2018 | AAAI | Multi-Level Variational Autoencoder: Learning Disentangled Representations From Grouped Observations. | Diane Bouchacourt, Ryota Tomioka, Sebastian Nowozin |
| 2018 | ECCV | From Face Recognition to Models of Identity: A Bayesian Approach to Learning About Unknown Identities from Unsupervised Data. | Daniel Coelho de Castro, Sebastian Nowozin |
| 2018 | ECCV | Deep Directional Statistics: Pose Estimation with Uncertainty Quantification. | Sergey Prokudin, Peter V. Gehler, Sebastian Nowozin |
| 2018 | ICLR | Debiasing Evidence Approximations: On Importance-weighted Autoencoders and Jackknife Variational Inference. | Sebastian Nowozin |
| 2018 | ICLR | PixelDefend: Leveraging Generative Models to Understand and Defend against Adversarial Examples. | Yang Song, Taesup Kim, Sebastian Nowozin, Stefano Ermon, Nate Kushman |
| 2018 | ICML | Which Training Methods for GANs do actually Converge? | Lars M. Mescheder, Andreas Geiger, Sebastian Nowozin |
| 2017 | CVPR | DSAC - Differentiable RANSAC for Camera Localization. | Eric Brachmann, Alexander Krull, Sebastian Nowozin, Jamie Shotton, Frank Michel, Stefan Gumhold, Carsten Rother |
| 2017 | CVPR | PoseAgent: Budget-Constrained 6D Object Pose Estimation via Reinforcement Learning. | Alexander Krull, Eric Brachmann, Sebastian Nowozin, Frank Michel, Jamie Shotton, Carsten Rother |
| 2017 | CVPR | Dynamic Time-of-Flight. | Michael Schober, Amit Adam, Omer Yair, Shai Mazor, Sebastian Nowozin |
| 2017 | ICLR | DeepCoder: Learning to Write Programs. | Matej Balog, Alexander L. Gaunt, Marc Brockschmidt, Sebastian Nowozin, Daniel Tarlow |
| 2017 | ICML | Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks. | Lars M. Mescheder, Sebastian Nowozin, Andreas Geiger |
| 2016 | AAAI | Learning Step Size Controllers for Robust Neural Network Training. | Christian Daniel, Jonathan Taylor, Sebastian Nowozin |
| 2015 | ICCV | Entropy-Based Latent Structured Output Prediction. | Diane Bouchacourt, Sebastian Nowozin, M. Pawan Kumar |
| 2015 | ICCV | Model-Based Tracking at 300Hz Using Raw Time-of-Flight Observations. | Jan Sthmer, Sebastian Nowozin, Andrew W. Fitzgibbon, Richard Szeliski, Travis Perry, Sunil Acharya, Daniel Cremers, Jamie Shotton |
| 2015 | WACV | Interleaved Regression Tree Field Cascades for Blind Image Deconvolution. | Kevin Schelten, Sebastian Nowozin, Jeremy Jancsary, Carsten Rother, Stefan Roth |
| 2014 | CVPR | Efficient Nonlinear Markov Models for Human Motion. | Andreas M. Lehrmann, Peter V. Gehler, Sebastian Nowozin |
| 2014 | CVPR | Optimal Decisions from Probabilistic Models: The Intersection-over-Union Case. | Sebastian Nowozin |
| 2014 | ICML | Scalable Gaussian Process Structured Prediction for Grid Factor Graph Applications. | Sbastien Bratires, Novi Quadrianto, Sebastian Nowozin, Zoubin Ghahramani |
| 2013 | ALT | Faster Hoeffding Racing: Bernstein Races via Jackknife Estimates. | Po-Ling Loh, Sebastian Nowozin |
| 2013 | CVPR | A Comparative Study of Modern Inference Techniques for Discrete Energy Minimization Problems. | Jrg H. Kappes, Bjrn Andres, Fred A. Hamprecht, Christoph Schnrr, Sebastian Nowozin, Dhruv Batra, Sungwoong Kim, Bernhard X. Kausler, Jan Lellmann, Nikos Komodakis, Carsten Rother |
| 2013 | CVPR | Discriminative Non-blind Deblurring. | Uwe Schmidt, Carsten Rother, Sebastian Nowozin, Jeremy Jancsary, Stefan Roth |
| 2013 | ICCV | A Non-parametric Bayesian Network Prior of Human Pose. | Andreas M. Lehrmann, Peter V. Gehler, Sebastian Nowozin |
| 2013 | ICML | Learning Convex QP Relaxations for Structured Prediction. | Jeremy Jancsary, Sebastian Nowozin, Carsten Rother |
| 2012 | CHI | Instructing people for training gestural interactive systems. | Simon Fothergill, Helena M. Mentis, Pushmeet Kohli, Sebastian Nowozin |
| 2012 | CVPR | Regression Tree Fields - An efficient, non-parametric approach to image labeling problems. | Jeremy Jancsary, Sebastian Nowozin, Toby Sharp, Carsten Rother |
| 2012 | ECCV | Loss-Specific Training of Non-Parametric Image Restoration Models: A New State of the Art. | Jeremy Jancsary, Sebastian Nowozin, Carsten Rother |
| 2012 | ICML | Improved Information Gain Estimates for Decision Tree Induction. | Sebastian Nowozin |
| 2011 | CVPR | Variable grouping for energy minimization. | Taesup Kim, Sebastian Nowozin, Pushmeet Kohli, Chang D. Yoo |
| 2011 | ICCV | Decision tree fields. | Sebastian Nowozin, Carsten Rother, Shai Bagon, Toby Sharp, Bangpeng Yao, Pushmeet Kohli |
| 2010 | ECCV | On Parameter Learning in CRF-Based Approaches to Object Class Image Segmentation. | Sebastian Nowozin, Peter V. Gehler, Christoph H. Lampert |
| 2009 | CVPR | Combining appearance and motion for human action classification in videos. | Paramveer S. Dhillon, Sebastian Nowozin, Christoph H. Lampert |
| 2009 | CVPR | Let the kernel figure it out; Principled learning of pre-processing for kernel classifiers. | Peter V. Gehler, Sebastian Nowozin |
| 2009 | CVPR | Global connectivity potentials for random field models. | Sebastian Nowozin, Christoph H. Lampert |
| 2009 | ICCV | On feature combination for multiclass object classification. | Peter V. Gehler, Sebastian Nowozin |
| 2009 | ICML | Solution stability in linear programming relaxations: graph partitioning and unsupervised learning. | Sebastian Nowozin, Stefanie Jegelka |
| 2008 | ICDM | Frequent Subgraph Retrieval in Geometric Graph Databases. | Sebastian Nowozin, Koji Tsuda |
| 2008 | ICML | A decoupled approach to exemplar-based unsupervised learning. | Sebastian Nowozin, Gkhan H. Bakir |
| 2007 | CVPR | Weighted Substructure Mining for Image Analysis. | Sebastian Nowozin, Koji Tsuda, Takeaki Uno, Taku Kudo, Gkhan H. Bakir |
| 2007 | ICCV | Discriminative Subsequence Mining for Action Classification. | Sebastian Nowozin, Gkhan H. Bakir, Koji Tsuda |