| 2022 | AISTATS | Statistical and computational thresholds for the planted k-densest sub-hypergraph problem. | Luca Corinzia, Paolo Penna, Wojciech Szpankowski, Joachim M. Buhmann |
| 2021 | ICLR | Spatial Dependency Networks: Neural Layers for Improved Generative Image Modeling. | ore Miladinovic, Aleksandar Stanic, Stefan Bauer, Jrgen Schmidhuber, Joachim M. Buhmann |
| 2021 | ISIT | On maximum-likelihood estimation in the all-or-nothing regime. | Luca Corinzia, Paolo Penna, Wojciech Szpankowski, Joachim M. Buhmann |
| 2020 | AAAI | Learning Counterfactual Representations for Estimating Individual Dose-Response Curves. | Patrick Schwab, Lorenz Linhardt, Stefan Bauer, Joachim M. Buhmann, Walter Karlen |
| 2020 | ICML | From Sets to Multisets: Provable Variational Inference for Probabilistic Integer Submodular Models. | Aytunc Sahin, Yatao Bian, Joachim M. Buhmann, Andreas Krause |
| 2020 | WACV | Instance Segmentation for the Quantification of Microplastic Fiber Images. | Viktor Wegmayr, Aytunc Sahin, Bjrn Smundsson, Joachim M. Buhmann |
| 2019 | AIME | Unsupervised Mitral Valve Segmentation in Echocardiography with Neural Network Matrix Factorization. | Luca Corinzia, Jesse Provost, Alessandro Candreva, Maurizio Tamarasso, Francesco Maisano, Joachim M. Buhmann |
| 2019 | AISTATS | Fast Gaussian process based gradient matching for parameter identification in systems of nonlinear ODEs. | Philippe Wenk, Alkis Gotovos, Stefan Bauer, Nico S. Gorbach, Andreas Krause, Joachim M. Buhmann |
| 2019 | ICLR | Disentangled State Space Models: Unsupervised Learning of dynamics across Heterogeneous Environments. | ore Miladinovic, Muhammad Waleed Gondal, Bernhard Schlkopf, Joachim M. Buhmann, Stefan Bauer |
| 2019 | ICML | Optimal Continuous DR-Submodular Maximization and Applications to Provable Mean Field Inference. | Yatao An Bian, Joachim M. Buhmann, Andreas Krause |
| 2019 | ISIT | Exact Recovery for a Family of Community-Detection Generative Models. | Luca Corinzia, Paolo Penna, Luca Mondada, Joachim M. Buhmann |
| 2018 | ISIT | Free Energy Asymptotics for Problems with Weak Solution Dependencies. | Alexey Gronskiy, Joachim M. Buhmann, Wojciech Szpankowski |
| 2017 | AISTATS | Guaranteed Non-convex Optimization: Submodular Maximization over Continuous Domains. | Andrew An Bian, Baharan Mirzasoleiman, Joachim M. Buhmann, Andreas Krause |
| 2017 | ICML | Guarantees for Greedy Maximization of Non-submodular Functions with Applications. | Andrew An Bian, Joachim M. Buhmann, Andreas Krause, Sebastian Tschiatschek |
| 2017 | MICCAI | MRI-Based Surgical Planning for Lumbar Spinal Stenosis. | Gabriele Abbati, Stefan Bauer, Sebastian Winklhofer, Peter J. Schffler, Ulrike Held, Jakob M. Burgstaller, Johann Steurer, Joachim M. Buhmann |
| 2016 | CVPR | TI-POOLING: Transformation-Invariant Pooling for Feature Learning in Convolutional Neural Networks. | Dmitry Laptev, Nikolay Savinov, Joachim M. Buhmann, Marc Pollefeys |
| 2016 | ITA | Information-theoretic analysis of MaxCut algorithms. | Yatao Bian, Alexey Gronskiy, Joachim M. Buhmann |
| 2015 | AAAI | Kickback Cuts Backprop's Red-Tape: Biologically Plausible Credit Assignment in Neural Networks. | David Balduzzi, Hastagiri Vanchinathan, Joachim M. Buhmann |
| 2015 | CVPR | Transformation-Invariant Convolutional Jungles. | Dmitry Laptev, Joachim M. Buhmann |
| 2015 | ITW | Greedy MaxCut algorithms and their information content. | Yatao Bian, Alexey Gronskiy, Joachim M. Buhmann |
| 2015 | MICCAI | Visual Saliency Based Active Learning for Prostate MRI Segmentation. | Dwarikanath Mahapatra, Joachim M. Buhmann |
| 2015 | MICCAI | Boosting Convolutional Filters with Entropy Sampling for Optic Cup and Disc Image Segmentation from Fundus Images. | Julian G. Zilly, Joachim M. Buhmann, Dwarikanath Mahapatra |
| 2014 | ISIT | How informative are Minimum Spanning Tree algorithms? | Alexey Gronskiy, Joachim M. Buhmann |
| 2014 | ISIT | Sparse feature selection by information theory. | Guangyao Zhou, Stuart Geman, Joachim M. Buhmann |
| 2014 | MICCAI | Combining Multiple Expert Annotations Using Semi-supervised Learning and Graph Cuts for Crohn's Disease Segmentation. | Dwarikanath Mahapatra, Peter J. Schffler, Jeroen A. W. Tielbeek, Carl A. J. Puylaert, Jesica C. Makanyanga, Alex Menys, Rado Andriantsimiavona, Jaap Stoker, Stuart A. Taylor, Franciscus M. Vos, Joachim M. Buhmann |
| 2014 | MICCAI | Semi-automatic Crohn's Disease Severity Estimation on MR Imaging. | Peter J. Schffler, Dwarikanath Mahapatra, Robiel Naziroglu, Zhang Li, Carl A. J. Puylaert, Rado Andriantsimiavona, Franciscus M. Vos, Doug A. Pends, C. Yung Nio, Jaap Stoker, Stuart A. Taylor, Joachim M. Buhmann |
| 2013 | ICML | Ellipsoidal Multiple Instance Learning. | Gabriel Krummenacher, Cheng Soon Ong, Joachim M. Buhmann |
| 2013 | MICCAI | Semi-Supervised and Active Learning for Automatic Segmentation of Crohn's Disease. | Dwarikanath Mahapatra, Peter J. Schffler, Jeroen A. W. Tielbeek, Franciscus M. Vos, Joachim M. Buhmann |
| 2013 | MICCAI | A Model Development Pipeline for Crohn's Disease Severity Assessment from Magnetic Resonance Images. | Peter J. Schffler, Dwarikanath Mahapatra, Jeroen A. W. Tielbeek, Franciscus M. Vos, Jesica Makanyanga, Doug Pends, C. Yung Nio, Jaap Stoker, Stuart A. Taylor, Joachim M. Buhmann |
| 2012 | CVPR | Active learning for semantic segmentation with expected change. | Alexander Vezhnevets, Joachim M. Buhmann, Vittorio Ferrari |
| 2012 | CVPR | Weakly supervised structured output learning for semantic segmentation. | Alexander Vezhnevets, Vittorio Ferrari, Joachim M. Buhmann |
| 2012 | ICPRAM | Context Sensitive Information: Model Validation by Information Theory. | Joachim M. Buhmann |
| 2012 | ISIT | The information content in sorting algorithms. | Ludwig M. Busse, Morteza Haghir Chehreghani, Joachim M. Buhmann |
| 2012 | MICCAI | Anisotropic ssTEM Image Segmentation Using Dense Correspondence across Sections. | Dmitry Laptev, Alexander Vezhnevets, Sarvesh Dwivedi, Joachim M. Buhmann |
| 2012 | MICCAI | Cardiac LV and RV Segmentation Using Mutual Context Information. | Dwarikanath Mahapatra, Joachim M. Buhmann |
| 2012 | MICCAI | A Supervised Learning Based Approach to Detect Crohn's Disease in Abdominal MR Volumes. | Dwarikanath Mahapatra, Peter Schueffler, Jeroen A. W. Tielbeek, Joachim M. Buhmann, Franciscus M. Vos |
| 2011 | AIED | Modeling Engagement Dynamics in Spelling Learning. | Gian-Marco Baschera, Alberto Giovanni Busetto, Severin Klingler, Joachim M. Buhmann, Markus H. Gross |
| 2011 | EDM | Predicting Graduate-level Performance from Undergraduate Achievements. | Judith Zimmermann, Kay Henning Brodersen, Jean-Philippe Pellet, Elias August, Joachim M. Buhmann |
| 2011 | ICCV | Weakly supervised semantic segmentation with a multi-image model. | Alexander Vezhnevets, Vittorio Ferrari, Joachim M. Buhmann |
| 2011 | ISIT | Selecting the rank of truncated SVD by maximum approximation capacity. | Mario Frank, Joachim M. Buhmann |
| 2010 | CVPR | Neuron geometry extraction by perceptual grouping in ssTEM images. | Verena Kaynig, Thomas J. Fuchs, Joachim M. Buhmann |
| 2010 | CVPR | Towards weakly supervised semantic segmentation by means of multiple instance and multitask learning. | Alexander Vezhnevets, Joachim M. Buhmann |
| 2010 | ICASSP | Regularized online learning of pseudometrics. | Yvonne Moh, Joachim M. Buhmann |
| 2010 | ICASSP | Speech enhancement with sparse coding in learned dictionaries. | Christian D. Sigg, Tomas Dikk, Joachim M. Buhmann |
| 2010 | ICPR | The Balanced Accuracy and Its Posterior Distribution. | Kay Henning Brodersen, Cheng Soon Ong, Klaas Enno Stephan, Joachim M. Buhmann |
| 2010 | ICPR | The Binormal Assumption on Precision-Recall Curves. | Kay Henning Brodersen, Cheng Soon Ong, Klaas Enno Stephan, Joachim M. Buhmann |
| 2010 | ISIT | Information theoretic model validation for clustering. | Joachim M. Buhmann |
| 2010 | MICCAI | Geometrical Consistent 3D Tracing of Neuronal Processes in ssTEM Data. | Verena Kaynig, Thomas J. Fuchs, Joachim M. Buhmann |
| 2010 | RECOMB | Proteome Coverage Prediction for Integrated Proteomics Datasets. | Manfred Claassen, Ruedi Aebersold, Joachim M. Buhmann |
| 2010 | SACMAT | On the definition of role mining. | Mario Frank, Joachim M. Buhmann, David A. Basin |
| 2009 | CCS | A probabilistic approach to hybrid role mining. | Mario Frank, Andreas P. Streich, David A. Basin, Joachim M. Buhmann |
| 2009 | ICASSP | Manifold regularization for semi-supervised sequential learning. | Yvonne Moh, Joachim M. Buhmann |
| 2009 | ICML | Optimized expected information gain for nonlinear dynamical systems. | Alberto Giovanni Busetto, Cheng Soon Ong, Joachim M. Buhmann |
| 2009 | ICML | Multi-assignment clustering for Boolean data. | Andreas P. Streich, Mario Frank, David A. Basin, Joachim M. Buhmann |
| 2009 | ISVC | Randomized Tree Ensembles for Object Detection in Computational Pathology. | Thomas J. Fuchs, Johannes Haybaeck, Peter J. Wild, Mathias Heikenwalder, Holger Moch, Adriano Aguzzi, Joachim M. Buhmann |
| 2009 | MICCAI | Graph-Based Pancreatic Islet Segmentation for Early Type 2 Diabetes Mellitus on Histopathological Tissue. | Xenofon E. Floros, Thomas J. Fuchs, Markus P. Rechsteiner, Giatgen Spinas, Holger Moch, Joachim M. Buhmann |
| 2008 | CCS | A class of probabilistic models for role engineering. | Mario Frank, David A. Basin, Joachim M. Buhmann |
| 2008 | CVPR | Probabilistic image registration and anomaly detection by nonlinear warping. | Verena Kaynig, Bernd Fischer, Joachim M. Buhmann |
| 2008 | ICASSP | Music preference learning with partial information. | Yvonne Moh, Peter Orbanz, Joachim M. Buhmann |
| 2008 | ICML | Expectation-maximization for sparse and non-negative PCA. | Christian D. Sigg, Joachim M. Buhmann |
| 2008 | MICCAI | Computational Pathology Analysis of Tissue Microarrays Predicts Survival of Renal Clear Cell Carcinoma Patients. | Thomas J. Fuchs, Peter J. Wild, Holger Moch, Joachim M. Buhmann |
| 2007 | CVPR | Learning the Compositional Nature of Visual Objects. | Bjrn Ommer, Joachim M. Buhmann |
| 2007 | ICML | Cluster analysis of heterogeneous rank data. | Ludwig M. Busse, Peter Orbanz, Joachim M. Buhmann |
| 2006 | CVPR | Learning Top-Down Grouping of Compositional Hierarchies for Recognition. | Bjrn Ommer, Michael Sauter, Joachim M. Buhmann |
| 2006 | CVPR | Model Order Selection and Cue Combination for Image Segmentation. | Andrew Rabinovich, Serge J. Belongie, Tilman Lange, Joachim M. Buhmann |
| 2006 | ECCV | Learning Compositional Categorization Models. | Bjrn Ommer, Joachim M. Buhmann |
| 2006 | ECCV | Smooth Image Segmentation by Nonparametric Bayesian Inference. | Peter Orbanz, Joachim M. Buhmann |
| 2006 | IJCNN | PerformancePrediction Challenge. | Isabelle Guyon, Amir Reza Saffari Azar Alamdari, Gideon Dror, Joachim M. Buhmann |
| 2006 | ISMB | Semi-supervised LC/MS alignment for differential proteomics. | Bernd Fischer, Jonas Grossmann, Volker Roth, Wilhelm Gruissem, Sacha Baginsky, Joachim M. Buhmann |
| 2005 | CVPR | Learning with Constrained and Unlabelled Data. | Tilman Lange, Martin H. C. Law, Anil K. Jain, Joachim M. Buhmann |
| 2005 | ICIP | SAR images as mixtures of Gaussian mixtures. | Peter Orbanz, Joachim M. Buhmann |
| 2005 | KDD | Combining partitions by probabilistic label aggregation. | Tilman Lange, Joachim M. Buhmann |
| 2004 | CVPR | Shape Constrained Image Segmentation by Parametric Distributional Clustering. | Thomas Zller, Joachim M. Buhmann |
| 2004 | ICPR | Landscape of Clustering Algorithms. | Anil K. Jain, Alexander P. Topchy, Martin H. C. Law, Joachim M. Buhmann |
| 2002 | ECCV | Parametric Distributional Clustering for Image Segmentation. | Lothar Hermes, Thomas Zller, Joachim M. Buhmann |
| 2002 | ICANN | Stability-Based Model Order Selection in Clustering with Applications to Gene Expression Data. | Volker Roth, Mikio L. Braun, Tilman Lange, Joachim M. Buhmann |
| 2002 | ICPR | Combined Color And Texture Segmentation by Parametric Distributional Clustering. | Thomas Zller, Lothar Hermes, Joachim M. Buhmann |
| 2001 | CVPR | Contextual Classification by Entropy-Based Polygonization. | Lothar Hermes, Joachim M. Buhmann |
| 2001 | ICCV | Topology Free Hidden Markov Models: Application to Background Modeling. | Bjoern Stenger, Visvanathan Ramesh, Nikos Paragios, Frans Coetzee, Joachim M. Buhmann |
| 2001 | ICML | Coupled Clustering: a Method for Detecting Structural Correspondence. | Zvika Marx, Ido Dagan, Joachim M. Buhmann |
| 2000 | ICIP | On Learning Optimal Texture Edge Detectors. | Stefan Will, Lothar Hermes, Joachim M. Buhmann, Jan Puzicha |
| 2000 | ICPR | Active Learning for Hierarchical Pairwise Data Clustering. | Joachim M. Buhmann, Thomas Zller |
| 2000 | ICPR | Feature Selection for Support Vector Machines. | Lothar Hermes, Joachim M. Buhmann |
| 1999 | CVPR | Histogram Clustering for Unsupervised Image Segmentation. | Jan Puzicha, Joachim M. Buhmann, Thomas Hofmann |
| 1999 | ICCV | Empirical Evaluation of Dissimilarity Measures for Color and Texture. | Jan Puzicha, Yossi Rubner, Carlo Tomasi, Joachim M. Buhmann |
| 1998 | ECCV | On Spatial Quantization of Color Images. | Jens Ketterer, Jan Puzicha, Marcus Held, Martin Fischer, Joachim M. Buhmann, Dieter W. Fellner |
| 1998 | ICCV | Multiscale Annealing for Real-Time Unsupervised Texture Segmentation. | Jan Puzicha, Joachim M. Buhmann |
| 1997 | CVPR | Non-parametric Similarity Measures for Unsupervised Texture Segmentation and Image Retrieval. | Jan Puzicha, Thomas Hofmann, Joachim M. Buhmann |
| 1997 | ICASSP | Robust vector quantization by competitive learning. | Joachim M. Buhmann, Thomas Hofmann |
| 1997 | ICIP | An Optimization Approach to Unsupervised Hierarchical Texture Segmentation. | Thomas Hofmann, Jan Puzicha, Joachim M. Buhmann |
| 1997 | ICIP | Region-Based Motion Compensated 3D-Wavelet Transform Coding of Video. | Hansjrg Klock, Andreas Polzer, Joachim M. Buhmann |
| 1997 | ICIP | Video coding by region-based motion compensation and spatio-temporal wavelet transform. | Andreas Polzer, Hansjrg Klock, Joachim M. Buhmann |
| 1996 | ICANN | An Annealed "Neural Gas" Network for Robust Vector Quantization. | Thomas Hofmann, Joachim M. Buhmann |
| 1996 | ICIP | Unsupervised segmentation of textured images by pairwise data clustering. | Thomas Hofmann, Jan Puzicha, Joachim M. Buhmann |
| 1996 | ICPR | Regularizing phase-based stereo. | Thorsten Frhlinghaus, Joachim M. Buhmann |
| 1996 | KDD | Inferring Hierarchical Clustering Structures by Deterministic Annealing. | Thomas Hofmann, Joachim M. Buhmann |
| 1994 | ICPR | A maximum entropy approach to pairwise data clustering. | Joachim M. Buhmann, Thomas Hofmann |
| 1992 | DCC | Complexity Optimized Vector Quantization: A Neutral Network Approach. | Joachim M. Buhmann, Hans Khnel |
| 1990 | IJCNN | Size and distortion invariant object recognition by hierarchical graph matching. | Joachim M. Buhmann, Martin Lades, Christoph von der Malsburg |