Buhmann, Joachim M.

75 publications

TMLR 2025 Rethinking Robustness in Machine Learning: A Posterior Agreement Approach João B. S. Carvalho, Víctor Jiménez Rodríguez, Alessandro Torcinovich, Antonio Emanuele Cinà, Carlos Cotrini, Lea Schönherr, Joachim M. Buhmann

TMLR 2024 Measuring Orthogonality in Representations of Generative Models Robin C. Geyer, Alessandro Torcinovich, João B. S. Carvalho, Alexander Meyer, Joachim M. Buhmann

NeurIPS 2023 Explore In-Context Learning for 3D Point Cloud Understanding Zhongbin Fang, Xiangtai Li, Xia Li, Joachim M Buhmann, Chen Change Loy, Mengyuan Liu

TMLR 2023 Gated Domain Units for Multi-Source Domain Generalization Simon Föll, Alina Dubatovka, Eugen Ernst, Siu Lun Chau, Martin Maritsch, Patrik Okanovic, Gudrun Thaeter, Joachim M. Buhmann, Felix Wortmann, Krikamol Muandet

MIDL 2023 Holistic Modeling in Medical Image Segmentation Using Spatial Recurrence João BS Carvalho, João Santinha, Djordje Miladinovic, Carlos Cotrini, Joachim M Buhmann

MIDL 2023 Improving Explainability of Disentangled Representations Using Multipath-Attribution Mappings Lukas Klein, João B. S. Carvalho, Mennatallah El-Assady, Paolo Penna, Joachim M. Buhmann, Paul F. Jaeger

NeurIPS 2023 Invariant Anomaly Detection Under Distribution Shifts: A Causal Perspective João Carvalho, Mengtao Zhang, Robin Geyer, Carlos Cotrini, Joachim M Buhmann

NeurIPS 2022 Learning Long-Term Crop Management Strategies with CyclesGym Matteo Turchetta, Luca Corinzia, Scott Sussex, Amanda Burton, Juan Herrera, Ioannis Athanasiadis, Joachim M Buhmann, Andreas Krause

NeurIPS 2022 Learning to Drop Out: An Adversarial Approach to Training Sequence VAEs Djordje Miladinovic, Kumar Shridhar, Kushal Jain, Max Paulus, Joachim M Buhmann, Carl Allen

ICLR 2021 Spatial Dependency Networks: Neural Layers for Improved Generative Image Modeling Đorđe Miladinović, Aleksandar Stanić, Stefan Bauer, Jürgen Schmidhuber, Joachim M. Buhmann

AAAI 2020 Learning Counterfactual Representations for Estimating Individual Dose-Response Curves Patrick Schwab, Lorenz Linhardt, Stefan Bauer, Joachim M. Buhmann, Walter Karlen

ICLRW 2019 Disentangled State Space Models: Unsupervised Learning of Dynamics Across Heterogeneous Environments Ðorđe Miladinović, Waleed Gondal, Bernhard Schölkopf, Joachim M. Buhmann, Stefan Bauer

AISTATS 2019 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

NeurIPS 2017 Continuous DR-Submodular Maximization: Structure and Algorithms An Bian, Kfir Levy, Andreas Krause, Joachim M Buhmann

NeurIPS 2017 Efficient and Flexible Inference for Stochastic Systems Stefan Bauer, Nico S Gorbach, Djordje Miladinovic, Joachim M Buhmann

AISTATS 2017 Guaranteed Non-Convex Optimization: Submodular Maximization over Continuous Domains Andrew An Bian, Baharan Mirzasoleiman, Joachim M. Buhmann, Andreas Krause

ICML 2017 Guarantees for Greedy Maximization of Non-Submodular Functions with Applications Andrew An Bian, Joachim M. Buhmann, Andreas Krause, Sebastian Tschiatschek

NeurIPS 2017 Scalable Variational Inference for Dynamical Systems Nico S Gorbach, Stefan Bauer, Joachim M Buhmann

NeurIPS 2016 Scalable Adaptive Stochastic Optimization Using Random Projections Gabriel Krummenacher, Brian McWilliams, Yannic Kilcher, Joachim M Buhmann, Nicolai Meinshausen

CVPR 2016 TI-Pooling: Transformation-Invariant Pooling for Feature Learning in Convolutional Neural Networks Dmitry Laptev, Nikolay Savinov, Joachim M. Buhmann, Marc Pollefeys

MLJ 2015 Asymptotic Analysis of Estimators on Multi-Label Data Andreas P. Streich, Joachim M. Buhmann

AAAI 2015 Kickback Cuts Backprop's Red-Tape: Biologically Plausible Credit Assignment in Neural Networks David Balduzzi, Hastagiri Vanchinathan, Joachim M. Buhmann

CVPR 2015 Transformation-Invariant Convolutional Jungles Dmitry Laptev, Joachim M. Buhmann

NeurIPS 2014 Fast and Robust Least Squares Estimation in Corrupted Linear Models Brian McWilliams, Gabriel Krummenacher, Mario Lucic, Joachim M Buhmann

NeurIPS 2013 Correlated Random Features for Fast Semi-Supervised Learning Brian McWilliams, David Balduzzi, Joachim M Buhmann

CVPR 2012 Active Learning for Semantic Segmentation with Expected Change Alexander Vezhnevets, Joachim M. Buhmann, Vittorio Ferrari

JMLR 2012 Bayesian Mixed-Effects Inference on Classification Performance in Hierarchical Data Sets Kay H. Brodersen, Christoph Mathys, Justin R. Chumbley, Jean Daunizeau, Cheng Soon Ong, Joachim M. Buhmann, Klaas E. Stephan

AISTATS 2012 Information Theoretic Model Validation for Spectral Clustering Morteza Haghir Chehreghani, Alberto Giovanni Busetto, Joachim M. Buhmann

JMLR 2012 Multi-Assignment Clustering for Boolean Data Mario Frank, Andreas P. Streich, David Basin, Joachim M. Buhmann

CVPR 2012 Weakly Supervised Structured Output Learning for Semantic Segmentation Alexander Vezhnevets, Vittorio Ferrari, Joachim M. Buhmann

ECML-PKDD 2011 The Minimum Transfer Cost Principle for Model-Order Selection Mario Frank, Morteza Haghir Chehreghani, Joachim M. Buhmann

ICCV 2011 Weakly Supervised Semantic Segmentation with a Multi-Image Model Alexander Vezhnevets, Vittorio Ferrari, Joachim M. Buhmann

ECML-PKDD 2010 Entropy and Margin Maximization for Structured Output Learning Patrick Pletscher, Cheng Soon Ong, Joachim M. Buhmann

CVPR 2010 Neuron Geometry Extraction by Perceptual Grouping in ssTEM Images Verena Kaynig, Thomas J. Fuchs, Joachim M. Buhmann

CVPR 2010 Towards Weakly Supervised Semantic Segmentation by Means of Multiple Instance and Multitask Learning Alexander Vezhnevets, Joachim M. Buhmann

ICCVW 2009 Inter-Active Learning of Randomized Tree Ensembles for Object Detection Thomas J. Fuchs, Joachim M. Buhmann

ICML 2009 Multi-Assignment Clustering for Boolean Data Andreas P. Streich, Mario Frank, David A. Basin, Joachim M. Buhmann

ICML 2009 Optimized Expected Information Gain for Nonlinear Dynamical Systems Alberto Giovanni Busetto, Cheng Soon Ong, Joachim M. Buhmann

ECML-PKDD 2008 Classification of Multi-Labeled Data: A Generative Approach Andreas P. Streich, Joachim M. Buhmann

ICML 2008 Expectation-Maximization for Sparse and Non-Negative PCA Christian D. Sigg, Joachim M. Buhmann

JMLR 2008 On Relevant Dimensions in Kernel Feature Spaces Mikio L. Braun, Joachim M. Buhmann, Klaus-Robert Müller

CVPR 2008 Probabilistic Image Registration and Anomaly Detection by Nonlinear Warping Verena Kaynig, Bernd Fischer, Joachim M. Buhmann

ICML 2007 Cluster Analysis of Heterogeneous Rank Data Ludwig M. Busse, Peter Orbanz, Joachim M. Buhmann

CVPR 2007 Learning the Compositional Nature of Visual Objects Björn Ommer, Joachim M. Buhmann

NeurIPS 2006 Denoising and Dimension Reduction in Feature Space Mikio L. Braun, Klaus-Robert Müller, Joachim M. Buhmann

ECCV 2006 Learning Compositional Categorization Models Björn Ommer, Joachim M. Buhmann

CVPRW 2006 Learning Top-Down Grouping of Compositional Hierarchies for Recognition Björn Ommer, Michael Sauter, Joachim M. Buhmann

CVPR 2006 Model Order Selection and Cue Combination for Image Segmentation Andrew Rabinovich, Serge J. Belongie, Tilman Lange, Joachim M. Buhmann

ECCV 2006 Smooth Image Segmentation by Nonparametric Bayesian Inference Peter Orbanz, Joachim M. Buhmann

NeurIPS 2005 Fusion of Similarity Data in Clustering Tilman Lange, Joachim M. Buhmann

CVPR 2005 Learning with Constrained and Unlabelled Data Tilman Lange, Martin H. C. Law, Anil K. Jain, Joachim M. Buhmann

NeurIPS 2004 A Hidden Markov Model for De Novo Peptide Sequencing Bernd Fischer, Volker Roth, Jonas Grossmann, Sacha Baginsky, Wilhelm Gruissem, Franz Roos, Peter Widmayer, Joachim M. Buhmann

CVPR 2004 Shape Constrained Image Segmentation by Parametric Distributional Clustering Thomas Zöller, Joachim M. Buhmann

NeCo 2004 Stability-Based Validation of Clustering Solutions Tilman Lange, Volker Roth, Mikio L. Braun, Joachim M. Buhmann

NeurIPS 2003 Clustering with the Connectivity Kernel Bernd Fischer, Volker Roth, Joachim M. Buhmann

JMLR 2002 Coupled Clustering: A Method for Detecting Structural Correspondence Zvika Marx, Ido Dagan, Joachim M. Buhmann, Eli Shamir

NeurIPS 2002 Going Metric: Denoising Pairwise Data Volker Roth, Julian Laub, Klaus-Robert Müller, Joachim M. Buhmann

ECCV 2002 Parametric Distributional Clustering for Image Segmentation Lothar Hermes, Thomas Zöller, Joachim M. Buhmann

NeurIPS 2002 Stability-Based Model Selection Tilman Lange, Mikio L. Braun, Volker Roth, Joachim M. Buhmann

CVPR 2001 Contextual Classification by Entropy-Based Polygonization Lothar Hermes, Joachim M. Buhmann

ICML 2001 Coupled Clustering: A Method for Detecting Structural Correspondence Zvika Marx, Ido Dagan, Joachim M. Buhmann

NeurIPS 2001 The Noisy Euclidean Traveling Salesman Problem and Learning Mikio L. Braun, Joachim M. Buhmann

ICCV 2001 Topology Free Hidden Markov Models: Application to Background Modeling Bjoern Stenger, Visvanathan Ramesh, Nikos Paragios, Frans Coetzee, Joachim M. Buhmann

ICCV 1999 Empirical Evaluation of Dissimilarity Measures for Color and Texture Jan Puzicha, Yossi Rubner, Carlo Tomasi, Joachim M. Buhmann

CVPR 1999 Histogram Clustering for Unsupervised Image Segmentation Jan Puzicha, Joachim M. Buhmann, Thomas Hofmann

NeurIPS 1999 Model Selection in Clustering by Uniform Convergence Bounds Joachim M. Buhmann, Marcus Held

ICCV 1998 Multiscale Annealing for Real-Time Unsupervised Texture Segmentation Jan Puzicha, Joachim M. Buhmann

ECCV 1998 On Spatial Quantization of Color Images Jens Ketterer, Jan Puzicha, Marcus Held, Martin Fischer, Joachim M. Buhmann, Dieter W. Fellner

NeurIPS 1998 Visualizing Group Structure Marcus Held, Jan Puzicha, Joachim M. Buhmann

NeurIPS 1997 Active Data Clustering Thomas Hofmann, Joachim M. Buhmann

CVPR 1997 Non-Parametric Similarity Measures for Unsupervised Texture Segmentation and Image Retrieval Jan Puzicha, Thomas Hofmann, Joachim M. Buhmann

NeurIPS 1997 Unsupervised On-Line Learning of Decision Trees for Hierarchical Data Analysis Marcus Held, Joachim M. Buhmann

NeCo 1993 Complexity Optimized Data Clustering by Competitive Neural Networks Joachim M. Buhmann, Hans Kühnel

NeurIPS 1993 Illumination-Invariant Face Recognition with a Contrast Sensitive Silicon Retina Joachim M. Buhmann, Martin Lades, Frank Eeckman

NeCo 1990 Pattern Segmentation in Associative Memory DeLiang Wang, Joachim M. Buhmann, Christoph von der Malsburg