| 2025 | CVPR | Intriguing Properties of Robust Classification. | Bernd Prach, Christoph H. Lampert |
| 2025 | ICLR | Can LLMs Separate Instructions From Data? And What Do We Even Mean By That? | Egor Zverev, Sahar Abdelnabi, Soroush Tabesh, Mario Fritz, Christoph H. Lampert |
| 2025 | ICML | Differentially Private Federated k-Means Clustering with Server-Side Data. | Jonathan Scott, Christoph H. Lampert, David Saulpic |
| 2024 | CVPR | 1-Lipschitz Layers Compared: Memory, Speed, and Certifiable Robustness. | Bernd Prach, Fabio Brau, Giorgio C. Buttazzo, Christoph H. Lampert |
| 2024 | ICLR | PeFLL: Personalized Federated Learning by Learning to Learn. | Jonathan Scott, Hossein Zakerinia, Christoph H. Lampert |
| 2024 | ICML | More Flexible PAC-Bayesian Meta-Learning by Learning Learning Algorithms. | Hossein Zakerinia, Amin Behjati, Christoph H. Lampert |
| 2023 | ICLR | CrAM: A Compression-Aware Minimizer. | Alexandra Peste, Adrian Vladu, Eldar Kurtic, Christoph H. Lampert, Dan Alistarh |
| 2022 | ECCV | Almost-Orthogonal Layers for Efficient General-Purpose Lipschitz Networks. | Bernd Prach, Christoph H. Lampert |
| 2022 | ICPR | Lightweight Conditional Model Extrapolation for Streaming Data under Class-Prior Shift. | Paulina Tomaszewska, Christoph H. Lampert |
| 2021 | ICLR | The inductive bias of ReLU networks on orthogonally separable data. | Mary Phuong, Christoph H. Lampert |
| 2020 | CVPR | Leveraging 2D Data to Learn Textured 3D Mesh Generation. | Paul Henderson, Vagia Tsiminaki, Christoph H. Lampert |
| 2020 | ICLR | Functional vs. parametric equivalence of ReLU networks. | Mary Phuong, Christoph H. Lampert |
| 2020 | WACV | Localizing Grouped Instances for Efficient Detection in Low-Resource Scenarios. | Amlie Royer, Christoph H. Lampert |
| 2020 | WACV | A Flexible Selection Scheme for Minimum-Effort Transfer Learning. | Amlie Royer, Christoph H. Lampert |
| 2018 | CVPR | Learning Intelligent Dialogs for Bounding Box Annotation. | Ksenia Konyushkova, Jasper R. R. Uijlings, Christoph H. Lampert, Vittorio Ferrari |
| 2018 | ICML | Data-Dependent Stability of Stochastic Gradient Descent. | Ilja Kuzborskij, Christoph H. Lampert |
| 2018 | ICML | Learning Equations for Extrapolation and Control. | Subham S. Sahoo, Christoph H. Lampert, Georg Martius |
| 2017 | AISTATS | Learning Theory for Conditional Risk Minimization. | Alexander Zimin, Christoph H. Lampert |
| 2017 | BMVC | Probabilistic Image Colorization. | Amelie Royer, Alexander Kolesnikov, Christoph H. Lampert |
| 2017 | CVPR | iCaRL: Incremental Classifier and Representation Learning. | Sylvestre-Alvise Rebuffi, Alexander Kolesnikov, Georg Sperl, Christoph H. Lampert |
| 2017 | ICLR | Extrapolation and learning equations. | Georg Martius, Christoph H. Lampert |
| 2017 | ICML | PixelCNN Models with Auxiliary Variables for Natural Image Modeling. | Alexander Kolesnikov, Christoph H. Lampert |
| 2017 | ICML | Multi-task Learning with Labeled and Unlabeled Tasks. | Anastasia Pentina, Christoph H. Lampert |
| 2016 | BMVC | Improving Weakly-Supervised Object Localization By Micro-Annotation. | Alexander Kolesnikov, Christoph H. Lampert |
| 2016 | ECCV | Seed, Expand and Constrain: Three Principles for Weakly-Supervised Image Segmentation. | Alexander Kolesnikov, Christoph H. Lampert |
| 2015 | CVPR | Predicting the future behavior of a time-varying probability distribution. | Christoph H. Lampert |
| 2015 | CVPR | Curriculum learning of multiple tasks. | Anastasia Pentina, Viktoriia Sharmanska, Christoph H. Lampert |
| 2015 | CVPR | Classifier adaptation at prediction time. | Amelie Royer, Christoph H. Lampert |
| 2015 | CVPR | A multi-plane block-coordinate frank-wolfe algorithm for training structural SVMs with a costly max-oracle. | Neel Shah, Vladimir Kolmogorov, Christoph H. Lampert |
| 2014 | BMVC | CoConut: Co-Classification with Output Space Regularization. | Sameh Khamis, Christoph H. Lampert |
| 2014 | CVPR | Deep Fisher Kernels - End to End Learning of the Fisher Kernel GMM Parameters. | Vladyslav Sydorov, Mayu Sakurada, Christoph H. Lampert |
| 2014 | ECCV | Closed-Form Approximate CRF Training for Scalable Image Segmentation. | Alexander Kolesnikov, Matthieu Guillaumin, Vittorio Ferrari, Christoph H. Lampert |
| 2014 | ICML | A PAC-Bayesian bound for Lifelong Learning. | Anastasia Pentina, Christoph H. Lampert |
| 2013 | AISTATS | Computing the M Most Probable Modes of a Graphical Model. | Chao Chen, Vladimir Kolmogorov, Yan Zhu, Dimitris N. Metaxas, Christoph H. Lampert |
| 2013 | ICCV | Drosophila Embryo Stage Annotation Using Label Propagation. | Tomas Kazmar, Evgeny Z. Kvon, Alexander Stark, Christoph H. Lampert |
| 2013 | ICCV | Learning to Rank Using Privileged Information. | Viktoriia Sharmanska, Novi Quadrianto, Christoph H. Lampert |
| 2012 | ACCV | Beyond Dataset Bias: Multi-task Unaligned Shared Knowledge Transfer. | Tatiana Tommasi, Novi Quadrianto, Barbara Caputo, Christoph H. Lampert |
| 2012 | ECCV | Augmented Attribute Representations. | Viktoriia Sharmanska, Novi Quadrianto, Christoph H. Lampert |
| 2012 | ICML | The Most Persistent Soft-Clique in a Set of Sampled Graphs. | Novi Quadrianto, Chao Chen, Christoph H. Lampert |
| 2011 | CVPR | Enforcing topological constraints in random field image segmentation. | Chao Chen, Daniel Freedman, Christoph H. Lampert |
| 2011 | ICML | Learning Multi-View Neighborhood Preserving Projections. | Novi Quadrianto, Christoph H. Lampert |
| 2011 | IROS | Learning anticipation policies for robot table tennis. | Zhikun Wang, Christoph H. Lampert, Katharina Mlling, Bernhard Schlkopf, Jan Peters |
| 2010 | CVPR | An efficient divide-and-conquer cascade for nonlinear object detection. | Christoph H. Lampert |
| 2010 | CVPR | Optimizing one-shot recognition with micro-set learning. | Kevin D. Tang, Marshall F. Tappen, Rahul Sukthankar, Christoph H. Lampert |
| 2010 | ECCV | Weakly-Paired Maximum Covariance Analysis for Multimodal Dimensionality Reduction and Transfer Learning. | Christoph H. Lampert, Oliver Krmer |
| 2010 | ECCV | On Parameter Learning in CRF-Based Approaches to Object Class Image Segmentation. | Sebastian Nowozin, Peter V. Gehler, Christoph H. Lampert |
| 2010 | ICRA | Movement templates for learning of hitting and batting. | Jens Kober, Katharina Mlling, Oliver Kroemer, Christoph H. Lampert, Bernhard Schlkopf, Jan Peters |
| 2009 | BMVC | Object Localization with Global and Local Context Kernels. | Matthew B. Blaschko, 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 | Learning to detect unseen object classes by between-class attribute transfer. | Christoph H. Lampert, Hannes Nickisch, Stefan Harmeling |
| 2009 | CVPR | Global connectivity potentials for random field models. | Sebastian Nowozin, Christoph H. Lampert |
| 2009 | ICCV | Detecting objects in large image collections and videos by efficient subimage retrieval. | Christoph H. Lampert |
| 2008 | CVPR | Correlational spectral clustering. | Matthew B. Blaschko, Christoph H. Lampert |
| 2008 | CVPR | Partitioning of image datasets using discriminative context information. | Christoph H. Lampert |
| 2008 | CVPR | Beyond sliding windows: Object localization by efficient subwindow search. | Christoph H. Lampert, Matthew B. Blaschko, Thomas Hofmann |
| 2008 | ECCV | Learning to Localize Objects with Structured Output Regression. | Matthew B. Blaschko, Christoph H. Lampert |
| 2006 | CIARP | Satellite Tracks Removal in Astronomical Images. | Haider Ali, Christoph H. Lampert, Thomas M. Breuel |
| 2006 | ICIP | Anisotropic Gaussian Filtering using Fixed Point Arithmetic. | Christoph H. Lampert, Oliver Wirjadi |
| 2006 | ICPR | Machine Learning for Video Compression: Macroblock Mode Decision. | Christoph H. Lampert |
| 2005 | ICDAR | Document Image Dewarping using Robust Estimation of Curled Text Lines. | Adrian Ulges, Christoph H. Lampert, Thomas M. Breuel |
| 2004 | DocEng | Document capture using stereo vision. | Adrian Ulges, Christoph H. Lampert, Thomas M. Breuel |