Sebastian Nowozin

127 papers A* 44A 3B 1Journal 54Unranked 24

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	AlphaEvolve: A coding agent for scientific and algorithmic discovery. CoRR Alexander Novikov, Ngân Vu, Marvin Eisenberger, Emilien Dupont, Po-Sen Huang, Adam Zsolt Wagner, Sergey Shirobokov, Borislav Kozlovskii, Francisco J. R. Ruiz, Abbas Mehrabian, M. Pawan Kumar, Abigail See, Swarat Chaudhuri, George Holland, Alex Davies, Sebastian Nowozin, Pushmeet Kohli, Matej Balog
2025	J	`jnl`	Project Silica: Towards Sustainable Cloud Archival Storage in Glass. ACM Trans. Storage Patrick Anderson, Erika Blancada Aranas, Youssef Assaf, Raphael Behrendt, Richard Black, Marco Caballero, Pashmina Cameron, Burcu Canakci, Andromachi Chatzieleftheriou, Rebekah Storan Clarke, James Clegg, Daniel Cletheroe, Bridgette Cooper, Thales De Carvalho, Tim Deegan, Austin Donnelly, Rokas Drevinskas, Alexander L. Gaunt, Christos Gkantsidis, Ariel Gomez Diaz, István Haller, Freddie Hong, Teodora Ilieva, Shashidhar Joshi, Russell Joyce, William M. Kunkel, David Lara, Sergey Legtchenko, Fanglin Linda Liu, Bruno Magalhães, 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
2023	A*	`conf`	FiT: Parameter Efficient Few-shot Transfer Learning for Personalized and Federated Image Classification. ICLR Aliaksandra Shysheya, John Bronskill, Massimiliano Patacchiola, Sebastian Nowozin, Richard E. Turner
2023	J	`jnl`	High-bandwidth Close-Range Information Transport through Light Pipes. CoRR Joowon Lim, Jannes Gladrow, Douglas J. Kelly, Greg O'Shea, Govert Verkes, Ioan A. Stefanovici, Sebastian Nowozin, Benn Thomsen
2023	A*	`conf`	Project Silica: Towards Sustainable Cloud Archival Storage in Glass. SOSP 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, István Haller, Freddie Hong, Teodora Ilieva, Shashidhar Joshi, Russell Joyce, Mint Kunkel, David Lara, Sergey Legtchenko, Fanglin Linda Liu, Bruno Magalhães, 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
2023	A*	`conf`	Timewarp: Transferable Acceleration of Molecular Dynamics by Learning Time-Coarsened Dynamics. NeurIPS Leon Klein, Andrew Y. K. Foong, Tor Erlend Fjelde, Bruno Mlodozeniec, Marc Brockschmidt, Sebastian Nowozin, Frank Noé, Ryota Tomioka
2023	J	`jnl`	Timewarp: Transferable Acceleration of Molecular Dynamics by Learning Time-Coarsened Dynamics. CoRR Leon Klein, Andrew Y. K. Foong, Tor Erlend Fjelde, Bruno Mlodozeniec, Marc Brockschmidt, Sebastian Nowozin, Frank Noé, Ryota Tomioka
2022	A*	`conf`	Contextual Squeeze-and-Excitation for Efficient Few-Shot Image Classification. NeurIPS Massimiliano Patacchiola, John Bronskill, Aliaksandra Shysheya, Katja Hofmann, Sebastian Nowozin, Richard E. Turner
2022	J	`jnl`	Contextual Squeeze-and-Excitation for Efficient Few-Shot Image Classification. CoRR Massimiliano Patacchiola, John Bronskill, Aliaksandra Shysheya, Katja Hofmann, Sebastian Nowozin, Richard E. Turner
2022	J	`jnl`	FiT: Parameter Efficient Few-shot Transfer Learning for Personalized and Federated Image Classification. CoRR Aliaksandra Shysheya, John Bronskill, Massimiliano Patacchiola, Sebastian Nowozin, Richard E. Turner
2021	A*	`conf`	Disentangling the Roles of Curation, Data-Augmentation and the Prior in the Cold Posterior Effect. NeurIPS Lorenzo Noci, Kevin Roth, Gregor Bachmann, Sebastian Nowozin, Thomas Hofmann
2021	J	`jnl`	Disentangling the Roles of Curation, Data-Augmentation and the Prior in the Cold Posterior Effect. CoRR Lorenzo Noci, Kevin Roth, Gregor Bachmann, Sebastian Nowozin, Thomas Hofmann
2021	A*	`conf`	Memory Efficient Meta-Learning with Large Images. NeurIPS John Bronskill, Daniela Massiceti, Massimiliano Patacchiola, Katja Hofmann, Sebastian Nowozin, Richard E. Turner
2021	J	`jnl`	Memory Efficient Meta-Learning with Large Images. CoRR John Bronskill, Daniela Massiceti, Massimiliano Patacchiola, Katja Hofmann, Sebastian Nowozin, Richard E. Turner
2021	A*	`conf`	Precise characterization of the prior predictive distribution of deep ReLU networks. NeurIPS Lorenzo Noci, Gregor Bachmann, Kevin Roth, Sebastian Nowozin, Thomas Hofmann
2021	J	`jnl`	Precise characterization of the prior predictive distribution of deep ReLU networks. CoRR Lorenzo Noci, Gregor Bachmann, Kevin Roth, Sebastian Nowozin, Thomas Hofmann
2020	A*	`conf`	How Good is the Bayes Posterior in Deep Neural Networks Really? ICML Florian Wenzel, Kevin Roth, Bastiaan S. Veeling, Jakub Swiatkowski, Linh Tran, Stephan Mandt, Jasper Snoek, Tim Salimans, Rodolphe Jenatton, Sebastian Nowozin
2020	J	`jnl`	How Good is the Bayes Posterior in Deep Neural Networks Really? CoRR Florian Wenzel, Kevin Roth, Bastiaan S. Veeling, Jakub Swiatkowski, Linh Tran, Stephan Mandt, Jasper Snoek, Tim Salimans, Rodolphe Jenatton, Sebastian Nowozin
2020	J	`jnl`	Hydra: Preserving Ensemble Diversity for Model Distillation. CoRR Linh Tran, Bastiaan S. Veeling, Kevin Roth, Jakub Swiatkowski, Joshua V. Dillon, Jasper Snoek, Stephan Mandt, Tim Salimans, Sebastian Nowozin, Rodolphe Jenatton
2020	A	`conf`	Independent Subspace Analysis for Unsupervised Learning of Disentangled Representations. AISTATS Jan Stuehmer, Richard E. Turner, Sebastian Nowozin
2020	A*	`conf`	TaskNorm: Rethinking Batch Normalization for Meta-Learning. ICML John Bronskill, Jonathan Gordon, James Requeima, Sebastian Nowozin, Richard E. Turner
2020	J	`jnl`	TaskNorm: Rethinking Batch Normalization for Meta-Learning. CoRR John Bronskill, Jonathan Gordon, James Requeima, Sebastian Nowozin, Richard E. Turner
2020	A*	`conf`	The k-tied Normal Distribution: A Compact Parameterization of Gaussian Mean Field Posteriors in Bayesian Neural Networks. ICML Jakub Swiatkowski, Kevin Roth, Bastiaan S. Veeling, Linh Tran, Joshua V. Dillon, Jasper Snoek, Stephan Mandt, Tim Salimans, Rodolphe Jenatton, Sebastian Nowozin
2020	J	`jnl`	The k-tied Normal Distribution: A Compact Parameterization of Gaussian Mean Field Posteriors in Bayesian Neural Networks. CoRR Jakub Swiatkowski, Kevin Roth, Bastiaan S. Veeling, Linh Tran, Joshua V. Dillon, Stephan Mandt, Jasper Snoek, Tim Salimans, Rodolphe Jenatton, Sebastian Nowozin
2019	J	`jnl`	Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift. CoRR Yaniv Ovadia, Emily Fertig, Jie Ren, Zachary Nado, David Sculley, Sebastian Nowozin, Joshua V. Dillon, Balaji Lakshminarayanan, Jasper Snoek
2019	A*	`conf`	Can you trust your model's uncertainty? Evaluating predictive uncertainty under dataset shift. NeurIPS Jasper Snoek, Yaniv Ovadia, Emily Fertig, Balaji Lakshminarayanan, Sebastian Nowozin, D. Sculley, Joshua V. Dillon, Jie Ren, Zachary Nado
2019	—	`conf`	Deterministic Variational Inference for Robust Bayesian Neural Networks. ICLR Anqi Wu, Sebastian Nowozin, Edward Meeds, Richard E. Turner, José Miguel Hernández-Lobato, Alexander L. Gaunt
2019	A*	`conf`	EDDI: Efficient Dynamic Discovery of High-Value Information with Partial VAE. ICML Chao Ma, Sebastian Tschiatschek, Konstantina Palla, José Miguel Hernández-Lobato, Sebastian Nowozin, Cheng Zhang
2019	J	`jnl`	Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive Processes. CoRR James Requeima, Jonathan Gordon, John Bronskill, Sebastian Nowozin, Richard E. Turner
2019	A*	`conf`	Fast and Flexible Multi-Task Classification using Conditional Neural Adaptive Processes. NeurIPS James Requeima, Jonathan Gordon, John Bronskill, Sebastian Nowozin, Richard E. Turner
2019	J	`jnl`	Icebreaker: Element-wise Active Information Acquisition with Bayesian Deep Latent Gaussian Model. CoRR Wenbo Gong, Sebastian Tschiatschek, Richard E. Turner, Sebastian Nowozin, José Miguel Hernández-Lobato, Cheng Zhang
2019	A*	`conf`	Icebreaker: Element-wise Efficient Information Acquisition with a Bayesian Deep Latent Gaussian Model. NeurIPS Wenbo Gong, Sebastian Tschiatschek, Sebastian Nowozin, Richard E. Turner, José Miguel Hernández-Lobato, Cheng Zhang
2019	J	`jnl`	Independent Subspace Analysis for Unsupervised Learning of Disentangled Representations. CoRR Jan Stühmer, Richard E. Turner, Sebastian Nowozin
2019	—	`conf`	Meta-Learning Probabilistic Inference for Prediction. ICLR (Poster) Jonathan Gordon, John Bronskill, Matthias Bauer, Sebastian Nowozin, Richard E. Turner
2019	A*	`conf`	Occupancy Networks: Learning 3D Reconstruction in Function Space. CVPR Lars M. Mescheder, Michael Oechsle, Michael Niemeyer, Sebastian Nowozin, Andreas Geiger
2018	J	`jnl`	Adversarially Robust Training through Structured Gradient Regularization. CoRR Kevin Roth, Aurélien Lucchi, Sebastian Nowozin, Thomas Hofmann
2018	J	`jnl`	Contextual Face Recognition with a Nested-Hierarchical Nonparametric Identity Model. CoRR Daniel Coelho de Castro, Sebastian Nowozin
2018	—	`conf`	Debiasing Evidence Approximations: On Importance-weighted Autoencoders and Jackknife Variational Inference. ICLR (Poster) Sebastian Nowozin
2018	J	`jnl`	Decision-Theoretic Meta-Learning: Versatile and Efficient Amortization of Few-Shot Learning. CoRR Jonathan Gordon, John Bronskill, Matthias Bauer, Sebastian Nowozin, Richard E. Turner
2018	—	`conf`	Deep Directional Statistics: Pose Estimation with Uncertainty Quantification. ECCV (9) Sergey Prokudin, Peter V. Gehler, Sebastian Nowozin
2018	J	`jnl`	Deep Directional Statistics: Pose Estimation with Uncertainty Quantification. CoRR Sergey Prokudin, Peter V. Gehler, Sebastian Nowozin
2018	J	`jnl`	EDDI: Efficient Dynamic Discovery of High-Value Information with Partial VAE. CoRR Chao Ma, Sebastian Tschiatschek, Konstantina Palla, José Miguel Hernández-Lobato, Sebastian Nowozin, Cheng Zhang
2018	J	`jnl`	Fixing Variational Bayes: Deterministic Variational Inference for Bayesian Neural Networks. CoRR Anqi Wu, Sebastian Nowozin, Edward Meeds, Richard E. Turner, José Miguel Hernández-Lobato, Alexander L. Gaunt
2018	—	`conf`	From Face Recognition to Models of Identity: A Bayesian Approach to Learning About Unknown Identities from Unsupervised Data. ECCV (2) Daniel Coelho de Castro, Sebastian Nowozin
2018	J	`jnl`	From Face Recognition to Models of Identity: A Bayesian Approach to Learning about Unknown Identities from Unsupervised Data. CoRR Daniel Coelho de Castro, Sebastian Nowozin
2018	—	`conf`	Glass: A New Media for a New Era? HotStorage Patrick Anderson, Richard Black, Ausra Cerkauskaite, Andromachi Chatzieleftheriou, James Clegg, Chris Dainty, Raluca Diaconu, Rokas Drevinskas, Austin Donnelly, Alexander L. Gaunt, Andreas Georgiou, Ariel Gomez Diaz, Peter G. Kazansky, David Lara, Sergey Legtchenko, Sebastian Nowozin, Aaron Ogus, Douglas Phillips, Antony I. T. Rowstron, Masaaki Sakakura, Ioan A. Stefanovici, Benn Thomsen, Lei Wang, Hugh Williams, Mengyang Yang
2018	A*	`conf`	Multi-Level Variational Autoencoder: Learning Disentangled Representations From Grouped Observations. AAAI Diane Bouchacourt, Ryota Tomioka, Sebastian Nowozin
2018	J	`jnl`	Occupancy Networks: Learning 3D Reconstruction in Function Space. CoRR Lars M. Mescheder, Michael Oechsle, Michael Niemeyer, Sebastian Nowozin, Andreas Geiger
2018	—	`conf`	PixelDefend: Leveraging Generative Models to Understand and Defend against Adversarial Examples. ICLR (Poster) Yang Song, Taesup Kim, Sebastian Nowozin, Stefano Ermon, Nate Kushman
2018	A*	`conf`	Which Training Methods for GANs do actually Converge? ICML Lars M. Mescheder, Andreas Geiger, Sebastian Nowozin
2017	A*	`conf`	Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks. ICML Lars M. Mescheder, Sebastian Nowozin, Andreas Geiger
2017	J	`jnl`	Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks. CoRR Lars M. Mescheder, Sebastian Nowozin, Andreas Geiger
2017	J	`jnl`	Bayesian Time-of-Flight for Realtime Shape, Illumination and Albedo. IEEE Trans. Pattern Anal. Mach. Intell. Amit Adam, Christoph Dann, Omer Yair, Shai Mazor, Sebastian Nowozin
2017	A*	`conf`	DSAC - Differentiable RANSAC for Camera Localization. CVPR Eric Brachmann, Alexander Krull, Sebastian Nowozin, Jamie Shotton, Frank Michel, Stefan Gumhold, Carsten Rother
2017	—	`conf`	DeepCoder: Learning to Write Programs. ICLR (Poster) Matej Balog, Alexander L. Gaunt, Marc Brockschmidt, Sebastian Nowozin, Daniel Tarlow
2017	A*	`conf`	Dynamic Time-of-Flight. CVPR Michael Schober, Amit Adam, Omer Yair, Shai Mazor, Sebastian Nowozin
2017	J	`jnl`	Hybrid VAE: Improving Deep Generative Models using Partial Observations. CoRR Sergey Tulyakov, Andrew W. Fitzgibbon, Sebastian Nowozin
2017	—	`conf`	Learning to Filter Object Detections. GCPR Sergey Prokudin, Daniel Kappler, Sebastian Nowozin, Peter V. Gehler
2017	J	`jnl`	Multi-Level Variational Autoencoder: Learning Disentangled Representations from Grouped Observations. CoRR Diane Bouchacourt, Ryota Tomioka, Sebastian Nowozin
2017	J	`jnl`	PixelDefend: Leveraging Generative Models to Understand and Defend against Adversarial Examples. CoRR Yang Song, Taesup Kim, Sebastian Nowozin, Stefano Ermon, Nate Kushman
2017	A*	`conf`	PoseAgent: Budget-Constrained 6D Object Pose Estimation via Reinforcement Learning. CVPR Alexander Krull, Eric Brachmann, Sebastian Nowozin, Frank Michel, Jamie Shotton, Carsten Rother
2017	—	`conf`	Stabilizing Training of Generative Adversarial Networks through Regularization. NIPS Kevin Roth, Aurélien Lucchi, Sebastian Nowozin, Thomas Hofmann
2017	J	`jnl`	Stabilizing Training of Generative Adversarial Networks through Regularization. CoRR Kevin Roth, Aurélien Lucchi, Sebastian Nowozin, Thomas Hofmann
2017	J	`jnl`	The Atari Grand Challenge Dataset. CoRR Vitaly Kurin, Sebastian Nowozin, Katja Hofmann, Lucas Beyer, Bastian Leibe
2017	—	`conf`	The Numerics of GANs. NIPS Lars M. Mescheder, Sebastian Nowozin, Andreas Geiger
2017	J	`jnl`	The Numerics of GANs. CoRR Lars M. Mescheder, Sebastian Nowozin, Andreas Geiger
2016	J	`jnl`	Cascades of Regression Tree Fields for Image Restoration. IEEE Trans. Pattern Anal. Mach. Intell. Uwe Schmidt, Jeremy Jancsary, Sebastian Nowozin, Stefan Roth, Carsten Rother
2016	—	`conf`	DISCO Nets : DISsimilarity COefficients Networks. NIPS Diane Bouchacourt, Pawan Kumar Mudigonda, Sebastian Nowozin
2016	J	`jnl`	DISCO Nets: DISsimilarity COefficient Networks. CoRR Diane Bouchacourt, M. Pawan Kumar, Sebastian Nowozin
2016	J	`jnl`	DSAC - Differentiable RANSAC for Camera Localization. CoRR Eric Brachmann, Alexander Krull, Sebastian Nowozin, Jamie Shotton, Frank Michel, Stefan Gumhold, Carsten Rother
2016	J	`jnl`	DeepCoder: Learning to Write Programs. CoRR Matej Balog, Alexander L. Gaunt, Marc Brockschmidt, Sebastian Nowozin, Daniel Tarlow
2016	A*	`conf`	Learning Step Size Controllers for Robust Neural Network Training. AAAI Christian Daniel, Jonathan Taylor, Sebastian Nowozin
2016	J	`jnl`	Memory Lens: How Much Memory Does an Agent Use? CoRR Christoph Dann, Katja Hofmann, Sebastian Nowozin
2016	A*	`conf`	Oblivious Multi-Party Machine Learning on Trusted Processors. USENIX Security Symposium Olga Ohrimenko, Felix Schuster, Cédric Fournet, Aastha Mehta, Sebastian Nowozin, Kapil Vaswani, Manuel Costa
2016	J	`jnl`	PoseAgent: Budget-Constrained 6D Object Pose Estimation via Reinforcement Learning. CoRR Alexander Krull, Eric Brachmann, Sebastian Nowozin, Frank Michel, Jamie Shotton, Carsten Rother
2016	J	`jnl`	Probabilistic Duality for Parallel Gibbs Sampling without Graph Coloring. CoRR Lars M. Mescheder, Sebastian Nowozin, Andreas Geiger
2016	—	`conf`	f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization. NIPS Sebastian Nowozin, Botond Cseke, Ryota Tomioka
2016	J	`jnl`	f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization. CoRR Sebastian Nowozin, Botond Cseke, Ryota Tomioka
2015	J	`jnl`	A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems. Int. J. Comput. Vis. Jörg H. Kappes, Björn Andres, Fred A. Hamprecht, Christoph Schnörr, Sebastian Nowozin, Dhruv Batra, Sungwoong Kim, Bernhard X. Kausler, Thorben Kröger, Jan Lellmann, Nikos Komodakis, Bogdan Savchynskyy, Carsten Rother
2015	J	`jnl`	Bayesian Time-of-Flight for Realtime Shape, Illumination and Albedo. CoRR Amit Adam, Christoph Dann, Omer Yair, Shai Mazor, Sebastian Nowozin
2015	A*	`conf`	Entropy-Based Latent Structured Output Prediction. ICCV Diane Bouchacourt, Sebastian Nowozin, M. Pawan Kumar
2015	A	`conf`	Interleaved Regression Tree Field Cascades for Blind Image Deconvolution. WACV Kevin Schelten, Sebastian Nowozin, Jeremy Jancsary, Carsten Rother, Stefan Roth
2015	A*	`conf`	Model-Based Tracking at 300Hz Using Raw Time-of-Flight Observations. ICCV Jan Stühmer, Sebastian Nowozin, Andrew W. Fitzgibbon, Richard Szeliski, Travis Perry, Sunil Acharya, Daniel Cremers, Jamie Shotton
2015	J	`jnl`	The informed sampler: A discriminative approach to Bayesian inference in generative computer vision models. Comput. Vis. Image Underst. Varun Jampani, Sebastian Nowozin, Matthew Loper, Peter V. Gehler
2014	—	`conf`	A Bayesian method to quantifying chemical composition using NMR: Application to porous media systems. EUSIPCO Yuting Wu, Daniel J. Holland, Mick D. Mantle, Andrew Gordon Wilson, Sebastian Nowozin, Andrew Blake, Lynn F. Gladden
2014	J	`jnl`	A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems. CoRR Jörg H. Kappes, Björn Andres, Fred A. Hamprecht, Christoph Schnörr, Sebastian Nowozin, Dhruv Batra, Sungwoong Kim, Bernhard X. Kausler, Thorben Kröger, Jan Lellmann, Nikos Komodakis, Bogdan Savchynskyy, Carsten Rother
2014	J	`jnl`	Cascades of Regression Tree Fields for Image Restoration. CoRR Uwe Schmidt, Jeremy Jancsary, Sebastian Nowozin, Stefan Roth, Carsten Rother
2014	A*	`conf`	Efficient Nonlinear Markov Models for Human Motion. CVPR Andreas M. Lehrmann, Peter V. Gehler, Sebastian Nowozin
2014	J	`jnl`	Image Segmentation UsingHigher-Order Correlation Clustering. IEEE Trans. Pattern Anal. Mach. Intell. Sungwoong Kim, Chang Dong Yoo, Sebastian Nowozin, Pushmeet Kohli
2014	J	`jnl`	Joint Demosaicing and Denoising via Learned Nonparametric Random Fields. IEEE Trans. Image Process. Daniel Khashabi, Sebastian Nowozin, Jeremy Jancsary, Andrew W. Fitzgibbon
2014	A*	`conf`	Optimal Decisions from Probabilistic Models: The Intersection-over-Union Case. CVPR Sebastian Nowozin
2014	A*	`conf`	Scalable Gaussian Process Structured Prediction for Grid Factor Graph Applications. ICML Sébastien Bratières, Novi Quadrianto, Sebastian Nowozin, Zoubin Ghahramani
2014	J	`jnl`	The Informed Sampler: A Discriminative Approach to Bayesian Inference in Generative Computer Vision Models. CoRR Varun Jampani, Sebastian Nowozin, Matthew Loper, Peter V. Gehler
2013	A*	`conf`	A Comparative Study of Modern Inference Techniques for Discrete Energy Minimization Problems. CVPR Jörg H. Kappes, Björn Andres, Fred A. Hamprecht, Christoph Schnörr, Sebastian Nowozin, Dhruv Batra, Sungwoong Kim, Bernhard X. Kausler, Jan Lellmann, Nikos Komodakis, Carsten Rother
2013	A*	`conf`	A Non-parametric Bayesian Network Prior of Human Pose. ICCV Andreas M. Lehrmann, Peter V. Gehler, Sebastian Nowozin
2013	—	`conf`	Decision Jungles: Compact and Rich Models for Classification. NIPS Jamie Shotton, Toby Sharp, Pushmeet Kohli, Sebastian Nowozin, John M. Winn, Antonio Criminisi
2013	A*	`conf`	Discriminative Non-blind Deblurring. CVPR Uwe Schmidt, Carsten Rother, Sebastian Nowozin, Jeremy Jancsary, Stefan Roth
2013	B	`conf`	Faster Hoeffding Racing: Bernstein Races via Jackknife Estimates. ALT Po-Ling Loh, Sebastian Nowozin
2013	—	`conf`	Learning Convex QP Relaxations for Structured Prediction. ICML (3) Jeremy Jancsary, Sebastian Nowozin, Carsten Rother
2013	J	`jnl`	Task-Specific Image Partitioning. IEEE Trans. Image Process. Sungwoong Kim, Sebastian Nowozin, Pushmeet Kohli, Chang D. Yoo
2012	J	`jnl`	Improved Information Gain Estimates for Decision Tree Induction CoRR Sebastian Nowozin
2012	A*	`conf`	Improved Information Gain Estimates for Decision Tree Induction. ICML Sebastian Nowozin
2012	—	`conf`	Information Theoretic Clustering Using Minimum Spanning Trees. DAGM/OAGM Symposium Andreas C. Müller, Sebastian Nowozin, Christoph H. Lampert
2012	A*	`conf`	Instructing people for training gestural interactive systems. CHI Simon Fothergill, Helena M. Mentis, Pushmeet Kohli, Sebastian Nowozin
2012	—	`conf`	Loss-Specific Training of Non-Parametric Image Restoration Models: A New State of the Art. ECCV (7) Jeremy Jancsary, Sebastian Nowozin, Carsten Rother
2012	—	`conf`	Pottics - The Potts Topic Model for Semantic Image Segmentation. DAGM/OAGM Symposium Christoph Dann, Peter V. Gehler, Stefan Roth, Sebastian Nowozin
2012	A*	`conf`	Regression Tree Fields - An efficient, non-parametric approach to image labeling problems. CVPR Jeremy Jancsary, Sebastian Nowozin, Toby Sharp, Carsten Rother
2011	A*	`conf`	Decision tree fields. ICCV Sebastian Nowozin, Carsten Rother, Shai Bagon, Toby Sharp, Bangpeng Yao, Pushmeet Kohli
2011	—	`conf`	Higher-Order Correlation Clustering for Image Segmentation. NIPS Sungwoong Kim, Sebastian Nowozin, Pushmeet Kohli, Chang Dong Yoo
2011	—	`conf`	Putting MAP Back on the Map. DAGM-Symposium Patrick Pletscher, Sebastian Nowozin, Pushmeet Kohli, Carsten Rother
2011	J	`jnl`	Structured Learning and Prediction in Computer Vision. Found. Trends Comput. Graph. Vis. Sebastian Nowozin, Christoph H. Lampert
2011	A	`conf`	Tighter Relaxations for MAP-MRF Inference: A Local Primal-Dual Gap based Separation Algorithm. AISTATS Dhruv Batra, Sebastian Nowozin, Pushmeet Kohli
2011	A*	`conf`	Variable grouping for energy minimization. CVPR Taesup Kim, Sebastian Nowozin, Pushmeet Kohli, Chang D. Yoo
2010	J	`jnl`	Global Interactions in Random Field Models: A Potential Function Ensuring Connectedness. SIAM J. Imaging Sci. Sebastian Nowozin, Christoph H. Lampert
2010	—	`conf`	On Parameter Learning in CRF-Based Approaches to Object Class Image Segmentation. ECCV (6) Sebastian Nowozin, Peter V. Gehler, Christoph H. Lampert
2009	—	`conf`	Combining appearance and motion for human action classification in videos. CVPR Workshops Paramveer S. Dhillon, Sebastian Nowozin, Christoph H. Lampert
2009	A*	`conf`	Global connectivity potentials for random field models. CVPR Sebastian Nowozin, Christoph H. Lampert
2009	—	`—`	Learning with structured data: applications to computer vision. Sebastian Nowozin
2009	A*	`conf`	Let the kernel figure it out; Principled learning of pre-processing for kernel classifiers. CVPR Peter V. Gehler, Sebastian Nowozin
2009	A*	`conf`	On feature combination for multiclass object classification. ICCV Peter V. Gehler, Sebastian Nowozin
2009	A*	`conf`	Solution stability in linear programming relaxations: graph partitioning and unsupervised learning. ICML Sebastian Nowozin, Stefanie Jegelka
2009	J	`jnl`	gBoost: a mathematical programming approach to graph classification and regression. Mach. Learn. Hiroto Saigo, Sebastian Nowozin, Tadashi Kadowaki, Taku Kudo, Koji Tsuda
2008	A*	`conf`	A decoupled approach to exemplar-based unsupervised learning. ICML Sebastian Nowozin, Gökhan H. Bakir
2008	A*	`conf`	Frequent Subgraph Retrieval in Geometric Graph Databases. ICDM Sebastian Nowozin, Koji Tsuda
2007	A*	`conf`	Discriminative Subsequence Mining for Action Classification. ICCV Sebastian Nowozin, Gökhan H. Bakir, Koji Tsuda
2007	A*	`conf`	Weighted Substructure Mining for Image Analysis. CVPR Sebastian Nowozin, Koji Tsuda, Takeaki Uno, Taku Kudo, Gökhan H. Bakir
2007	—	`conf`	Weighted Substructure Mining for Image Analysis. MLG Sebastian Nowozin, Koji Tsuda, Takeaki Uno, Taku Kudo, Gökhan H. Bakir