Nowozin, Sebastian

62 publications

ICLR 2023 FiT: Parameter Efficient Few-Shot Transfer Learning for Personalized and Federated Image Classification Aliaksandra Shysheya, John F Bronskill, Massimiliano Patacchiola, Sebastian Nowozin, Richard E Turner

NeurIPS 2023 Timewarp: Transferable Acceleration of Molecular Dynamics by Learning Time-Coarsened Dynamics Leon Klein, Andrew Foong, Tor Fjelde, Bruno Mlodozeniec, Marc Brockschmidt, Sebastian Nowozin, Frank Noe, Ryota Tomioka

NeurIPSW 2022 Contextual Squeeze-and-Excitation Massimiliano Patacchiola, John F Bronskill, Aliaksandra Shysheya, Katja Hofmann, Sebastian Nowozin, Richard E Turner

NeurIPS 2022 Contextual Squeeze-and-Excitation for Efficient Few-Shot Image Classification Massimiliano Patacchiola, John Bronskill, Aliaksandra Shysheya, Katja Hofmann, Sebastian Nowozin, Richard Turner

NeurIPSW 2022 FiT: Parameter Efficient Few-Shot Transfer Learning Aliaksandra Shysheya, John F Bronskill, Massimiliano Patacchiola, Sebastian Nowozin, Richard E Turner

NeurIPS 2021 Disentangling the Roles of Curation, Data-Augmentation and the Prior in the Cold Posterior Effect Lorenzo Noci, Kevin Roth, Gregor Bachmann, Sebastian Nowozin, Thomas Hofmann

NeurIPS 2021 Memory Efficient Meta-Learning with Large Images John Bronskill, Daniela Massiceti, Massimiliano Patacchiola, Katja Hofmann, Sebastian Nowozin, Richard Turner

NeurIPS 2021 Precise Characterization of the Prior Predictive Distribution of Deep ReLU Networks Lorenzo Noci, Gregor Bachmann, Kevin Roth, Sebastian Nowozin, Thomas Hofmann

ICML 2020 How Good Is the Bayes Posterior in Deep Neural Networks Really? Florian Wenzel, Kevin Roth, Bastiaan Veeling, Jakub Swiatkowski, Linh Tran, Stephan Mandt, Jasper Snoek, Tim Salimans, Rodolphe Jenatton, Sebastian Nowozin

AISTATS 2020 Independent Subspace Analysis for Unsupervised Learning of Disentangled Representations Jan Stuehmer, Richard Turner, Sebastian Nowozin

ICML 2020 TaskNorm: Rethinking Batch Normalization for Meta-Learning John Bronskill, Jonathan Gordon, James Requeima, Sebastian Nowozin, Richard Turner

ICML 2020 The K-Tied Normal Distribution: A Compact Parameterization of Gaussian Mean Field Posteriors in Bayesian Neural Networks Jakub Swiatkowski, Kevin Roth, Bastiaan Veeling, Linh Tran, Joshua Dillon, Jasper Snoek, Stephan Mandt, Tim Salimans, Rodolphe Jenatton, Sebastian Nowozin

NeurIPS 2019 Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift Yaniv Ovadia, Emily Fertig, Jie Ren, Zachary Nado, D. Sculley, Sebastian Nowozin, Joshua Dillon, Balaji Lakshminarayanan, Jasper Snoek

ICLR 2019 Deterministic Variational Inference for Robust Bayesian Neural Networks Anqi Wu, Sebastian Nowozin, Edward Meeds, Richard E. Turner, José Miguel Hernández-Lobato, Alexander L. Gaunt

ICML 2019 EDDI: Efficient Dynamic Discovery of High-Value Information with Partial VAE Chao Ma, Sebastian Tschiatschek, Konstantina Palla, Jose Miguel Hernandez-Lobato, Sebastian Nowozin, Cheng Zhang

NeurIPS 2019 Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive Processes James Requeima, Jonathan Gordon, John Bronskill, Sebastian Nowozin, Richard E Turner

NeurIPS 2019 Icebreaker: Element-Wise Efficient Information Acquisition with a Bayesian Deep Latent Gaussian Model Wenbo Gong, Sebastian Tschiatschek, Sebastian Nowozin, Richard E Turner, José Miguel Hernández-Lobato, Cheng Zhang

ICLR 2019 Meta-Learning Probabilistic Inference for Prediction Jonathan Gordon, John Bronskill, Matthias Bauer, Sebastian Nowozin, Richard Turner

ICLR 2018 Debiasing Evidence Approximations: On Importance-Weighted Autoencoders and Jackknife Variational Inference Sebastian Nowozin

ECCV 2018 Deep Directional Statistics: Pose Estimation with Uncertainty Quantification Sergey Prokudin, Peter Gehler, Sebastian Nowozin

ECCV 2018 From Face Recognition to Models of Identity: A Bayesian Approach to Learning About Unknown Identities from Unsupervised Data Daniel Coelho de Castro, Sebastian Nowozin

AAAI 2018 Multi-Level Variational Autoencoder: Learning Disentangled Representations from Grouped Observations Diane Bouchacourt, Ryota Tomioka, Sebastian Nowozin

ICLR 2018 PixelDefend: Leveraging Generative Models to Understand and Defend Against Adversarial Examples Yang Song, Taesup Kim, Sebastian Nowozin, Stefano Ermon, Nate Kushman

ICML 2018 Which Training Methods for GANs Do Actually Converge? Lars Mescheder, Andreas Geiger, Sebastian Nowozin

ICML 2017 Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks Lars Mescheder, Sebastian Nowozin, Andreas Geiger

CVPR 2017 DSAC - Differentiable RANSAC for Camera Localization Eric Brachmann, Alexander Krull, Sebastian Nowozin, Jamie Shotton, Frank Michel, Stefan Gumhold, Carsten Rother

ICLR 2017 DeepCoder: Learning to Write Programs Matej Balog, Alexander L. Gaunt, Marc Brockschmidt, Sebastian Nowozin, Daniel Tarlow

CVPR 2017 Dynamic Time-of-Flight Michael Schober, Amit Adam, Omer Yair, Shai Mazor, Sebastian Nowozin

CVPR 2017 PoseAgent: Budget-Constrained 6d Object Pose Estimation via Reinforcement Learning Alexander Krull, Eric Brachmann, Sebastian Nowozin, Frank Michel, Jamie Shotton, Carsten Rother

NeurIPS 2017 Stabilizing Training of Generative Adversarial Networks Through Regularization Kevin Roth, Aurelien Lucchi, Sebastian Nowozin, Thomas Hofmann

NeurIPS 2017 The Numerics of GANs Lars Mescheder, Sebastian Nowozin, Andreas Geiger

NeurIPS 2016 DISCO Nets : DISsimilarity COefficients Networks Diane Bouchacourt, Pawan K Mudigonda, Sebastian Nowozin

NeurIPS 2016 F-GAN: Training Generative Neural Samplers Using Variational Divergence Minimization Sebastian Nowozin, Botond Cseke, Ryota Tomioka

AAAI 2016 Learning Step Size Controllers for Robust Neural Network Training Christian Daniel, Jonathan Taylor, Sebastian Nowozin

ICCV 2015 Entropy-Based Latent Structured Output Prediction Diane Bouchacourt, Sebastian Nowozin, M. Pawan Kumar

WACV 2015 Interleaved Regression Tree Field Cascades for Blind Image Deconvolution Kevin Schelten, Sebastian Nowozin, Jeremy Jancsary, Carsten Rother, Stefan Roth

ICCV 2015 Model-Based Tracking at 300Hz Using Raw Time-of-Flight Observations Jan Stuhmer, Sebastian Nowozin, Andrew Fitzgibbon, Richard Szeliski, Travis Perry, Sunil Acharya, Daniel Cremers, Jamie Shotton

CVPR 2014 Efficient Nonlinear Markov Models for Human Motion Andreas M. Lehrmann, Peter V. Gehler, Sebastian Nowozin

CVPR 2014 Optimal Decisions from Probabilistic Models: The Intersection-over-Union Case Sebastian Nowozin

ICML 2014 Scalable Gaussian Process Structured Prediction for Grid Factor Graph Applications Sebastien Bratieres, Novi Quadrianto, Sebastian Nowozin, Zoubin Ghahramani

ICCV 2013 A Non-Parametric Bayesian Network Prior of Human Pose Andreas M. Lehrmann, Peter V. Gehler, Sebastian Nowozin

NeurIPS 2013 Decision Jungles: Compact and Rich Models for Classification Jamie Shotton, Toby Sharp, Pushmeet Kohli, Sebastian Nowozin, John Winn, Antonio Criminisi

CVPR 2013 Discriminative Non-Blind Deblurring Uwe Schmidt, Carsten Rother, Sebastian Nowozin, Jeremy Jancsary, Stefan Roth

ALT 2013 Faster Hoeffding Racing: Bernstein Races via Jackknife Estimates Po-Ling Loh, Sebastian Nowozin

ICML 2013 Learning Convex QP Relaxations for Structured Prediction Jeremy Jancsary, Sebastian Nowozin, Carsten Rother

ICML 2012 Improved Information Gain Estimates for Decision Tree Induction Sebastian Nowozin

ECCV 2012 Loss-Specific Training of Non-Parametric Image Restoration Models: A New State of the Art Jeremy Jancsary, Sebastian Nowozin, Carsten Rother

CVPR 2012 Regression Tree Fields - An Efficient, Non-Parametric Approach to Image Labeling Problems Jeremy Jancsary, Sebastian Nowozin, Toby Sharp, Carsten Rother

ICCV 2011 Decision Tree Fields Sebastian Nowozin, Carsten Rother, Shai Bagon, Toby Sharp, Bangpeng Yao, Pushmeet Kohli

NeurIPS 2011 Higher-Order Correlation Clustering for Image Segmentation Sungwoong Kim, Sebastian Nowozin, Pushmeet Kohli, Chang D. Yoo

AISTATS 2011 Tighter Relaxations for MAP-MRF Inference: A Local Primal-Dual Gap Based Separation Algorithm Dhruv Batra, Sebastian Nowozin, Pushmeet Kohli

CVPR 2011 Variable Grouping for Energy Minimization Taesup Kim, Sebastian Nowozin, Pushmeet Kohli, Chang D. Yoo

ECCV 2010 On Parameter Learning in CRF-Based Approaches to Object Class Image Segmentation Sebastian Nowozin, Peter V. Gehler, Christoph H. Lampert

CVPRW 2009 Combining Appearance and Motion for Human Action Classification in Videos Paramveer S. Dhillon, Sebastian Nowozin, Christoph H. Lampert

CVPR 2009 Global Connectivity Potentials for Random Field Models Sebastian Nowozin, Christoph H. Lampert

CVPR 2009 Let the Kernel Figure It Out; Principled Learning of Pre-Processing for Kernel Classifiers Peter V. Gehler, Sebastian Nowozin

ICCV 2009 On Feature Combination for Multiclass Object Classification Peter V. Gehler, Sebastian Nowozin

ICML 2009 Solution Stability in Linear Programming Relaxations: Graph Partitioning and Unsupervised Learning Sebastian Nowozin, Stefanie Jegelka

MLJ 2009 gBoost: A Mathematical Programming Approach to Graph Classification and Regression Hiroto Saigo, Sebastian Nowozin, Tadashi Kadowaki, Taku Kudo, Koji Tsuda

ICML 2008 A Decoupled Approach to Exemplar-Based Unsupervised Learning Sebastian Nowozin, Gökhan H. Bakir

ICCV 2007 Discriminative Subsequence Mining for Action Classification Sebastian Nowozin, Gökhan H. Bakir, Koji Tsuda

CVPR 2007 Weighted Substructure Mining for Image Analysis Sebastian Nowozin, Koji Tsuda, Takeaki Uno, Taku Kudo, Gökhan H. Bakir