Joachim M. Buhmann

318 papers A* 33A 9B 22C 3Misc 6Journal 123Unranked 116

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Diffusion-based model as a generalizable denoiser for optoacoustic imaging. Comput. Biol. Medicine Yuan Xu, Xiang Liu, Xia Li, Sandeep Kumar Kalva, Joachim M. Buhmann, Daniel Razansky, X. Luís Dean-Ben
2026	J	`jnl`	Point-In-Context: Understanding Point Cloud via In-Context Learning. Int. J. Comput. Vis. Mengyuan Liu, Zhongbin Fang, Xia Li, Joachim M. Buhmann, Deheng Ye, Xiangtai Li, Chen Change Loy
2025	J	`jnl`	2D echocardiography video to 3D heart shape reconstruction for clinical application. Medical Image Anal. Fabian Laumer, Lena Rubi, Michael A. Matter, Stefano Buoso, Gabriel Fringeli, François Mach, Frank Ruschitzka, Joachim M. Buhmann, Christian M. Matter
2025	J	`jnl`	Rethinking Robustness in Machine Learning: A Posterior Agreement Approach. CoRR João B. S. Carvalho, Alessandro Torcinovich, Victor Jimenez Rodriguez, Antonio Emanuele Cinà, Carlos Cotrini, Lea Schönherr, Joachim M. Buhmann
2025	J	`jnl`	Rethinking Robustness in Machine Learning: A Posterior Agreement Approach. Trans. Mach. Learn. Res. João B. S. Carvalho, Victor Jimenez Rodriguez, Alessandro Torcinovich, Antonio Emanuele Cinà, Carlos Cotrini, Lea Schönherr, Joachim M. Buhmann
2024	J	`jnl`	Breeding Programs Optimization with Reinforcement Learning. CoRR Omar G. Younis, Luca Corinzia, Ioannis N. Athanasiadis, Andreas Krause, Joachim M. Buhmann, Matteo Turchetta
2024	J	`jnl`	Continuous sPatial-Temporal Deformable Image Registration (CPT-DIR) for motion modelling in radiotherapy: beyond classic voxel-based methods. CoRR Xia Li, Muheng Li, Antony J. Lomax, Joachim M. Buhmann, Ye Zhang
2024	J	`jnl`	Fundamentals of Arthroscopic Surgery Training and beyond: a reinforcement learning exploration and benchmark. Int. J. Comput. Assist. Radiol. Surg. Ivan Ovinnikov, Ami Beuret, Flavia Cavaliere, Joachim M. Buhmann
2024	J	`jnl`	Gaussian Representation for Deformable Image Registration. CoRR Jihe Li, Fabian Zhang, Xia Li, Tianhao Zhang, Ye Zhang, Joachim M. Buhmann
2024	J	`jnl`	Learning Causally Invariant Reward Functions from Diverse Demonstrations. CoRR Ivan Ovinnikov, Eugene Bykovets, Joachim M. Buhmann
2024	J	`jnl`	Measuring Orthogonality in Representations of Generative Models. CoRR Robin C. Geyer, Alessandro Torcinovich, João B. S. Carvalho, Alexander Meyer, Joachim M. Buhmann
2024	J	`jnl`	Measuring Orthogonality in Representations of Generative Models. Trans. Mach. Learn. Res. Robin C. Geyer, Alessandro Torcinovich, João B. S. Carvalho, Alexander Meyer, Joachim M. Buhmann
2024	J	`jnl`	Neural Graphics Primitives-based Deformable Image Registration for On-the-fly Motion Extraction. CoRR Xia Li, Fabian Zhang, Muheng Li, Damien C. Weber, Antony J. Lomax, Joachim M. Buhmann, Ye Zhang
2024	J	`jnl`	Non-linear Fusion in Federated Learning: A Hypernetwork Approach to Federated Domain Generalization. CoRR Marc Bartholet, Taehyeon Kim, Ami Beuret, Se-Young Yun, Joachim M. Buhmann
2024	J	`jnl`	Point-In-Context: Understanding Point Cloud via In-Context Learning. CoRR Mengyuan Liu, Zhongbin Fang, Xia Li, Joachim M. Buhmann, Xiangtai Li, Chen Change Loy
2024	J	`jnl`	TAMBRIDGE: Bridging Frame-Centered Tracking and 3D Gaussian Splatting for Enhanced SLAM. CoRR Peifeng Jiang, Hong Liu, Xia Li, Ti Wang, Fabian Zhang, Joachim M. Buhmann
2023	J	`jnl`	ChromaX: a fast and scalable breeding program simulator. Bioinform. Omar G. Younis, Matteo Turchetta, Daniel Ariza Suarez, Steven Yates, Bruno Studer, Ioannis N. Athanasiadis, Andreas Krause, Joachim M. Buhmann, Luca Corinzia
2023	—	`conf`	Domain Generalization for Diagnosis of Pulmonary Fibrosis Using Dose-Invariant Feature Selection. ISBI João B. S. Carvalho, Carlos Cotrini, Fabian Laumer, André Euler, Katharina Martini, Thomas Frauenfelder, Joachim M. Buhmann
2023	A*	`conf`	Explore In-Context Learning for 3D Point Cloud Understanding. NeurIPS Zhongbin Fang, Xiangtai Li, Xia Li, Joachim M. Buhmann, Chen Change Loy, Mengyuan Liu
2023	J	`jnl`	Explore In-Context Learning for 3D Point Cloud Understanding. CoRR Zhongbin Fang, Xiangtai Li, Xia Li, Joachim M. Buhmann, Chen Change Loy, Mengyuan Liu
2023	J	`jnl`	Gated Domain Units for Multi-source Domain Generalization. Trans. Mach. Learn. Res. Simon Föll, Alina Dubatovka, Eugen Ernst, Siu Lun Chau, Martin Maritsch, Patrik Okanovic, Gudrun Thäter, Joachim M. Buhmann, Felix Wortmann, Krikamol Muandet
2023	J	`jnl`	Improving Explainability of Disentangled Representations using Multipath-Attribution Mappings. CoRR Lukas Klein, João B. S. Carvalho, Mennatallah El-Assady, Paolo Penna, Joachim M. Buhmann, Paul F. Jaeger
2023	A*	`conf`	Invariant Anomaly Detection under Distribution Shifts: A Causal Perspective. NeurIPS João B. S. Carvalho, Mengtao Zhang, Robin Geyer, Carlos Cotrini, Joachim M. Buhmann
2023	J	`jnl`	Invariant Anomaly Detection under Distribution Shifts: A Causal Perspective. CoRR João B. S. Carvalho, Mengtao Zhang, Robin Geyer, Carlos Cotrini, Joachim M. Buhmann
2023	J	`jnl`	Regularizing Adversarial Imitation Learning Using Causal Invariance. CoRR Ivan Ovinnikov, Joachim M. Buhmann
2023	J	`jnl`	Weakly supervised inference of personalized heart meshes based on echocardiography videos. Medical Image Anal. Fabian Laumer, Mounir Amrani, Laura Manduchi, Ami Beuret, Lena Rubi, Alina Dubatovka, Christian M. Matter, Joachim M. Buhmann
2022	J	`jnl`	BARReL: Bottleneck Attention for Adversarial Robustness in Vision-Based Reinforcement Learning. CoRR Eugene Bykovets, Yannick Metz, Mennatallah El-Assady, Daniel A. Keim, Joachim M. Buhmann
2022	J	`jnl`	Gated Domain Units for Multi-source Domain Generalization. CoRR Simon Föll, Alina Dubatovka, Eugen Ernst, Martin Maritsch, Patrik Okanovic, Gudrun Thäter, Joachim M. Buhmann, Felix Wortmann, Krikamol Muandet
2022	—	`conf`	Holistic Modeling In Medical Image Segmentation Using Spatial Recurrence. MIDL João B. S. Carvalho, João A. Santinha, Djordje Miladinovic, Carlos Cotrini, Joachim M. Buhmann
2022	J	`jnl`	How to Enable Uncertainty Estimation in Proximal Policy Optimization. CoRR Eugene Bykovets, Yannick Metz, Mennatallah El-Assady, Daniel A. Keim, Joachim M. Buhmann
2022	—	`conf`	Improving Explainability of Disentangled Representations using Multipath-Attribution Mappings. MIDL Lukas Klein, João B. S. Carvalho, Mennatallah El-Assady, Paolo Penna, Joachim M. Buhmann, Paul F. Jaeger
2022	A*	`conf`	Learning Long-Term Crop Management Strategies with CyclesGym. NeurIPS Matteo Turchetta, Luca Corinzia, Scott Sussex, Amanda Burton, Juan Herrera, Ioannis N. Athanasiadis, Joachim M. Buhmann, Andreas Krause
2022	A*	`conf`	Learning to Drop Out: An Adversarial Approach to Training Sequence VAEs. NeurIPS Djordje Miladinovic, Kumar Shridhar, Kushal Jain, Max B. Paulus, Joachim M. Buhmann, Carl Allen
2022	J	`jnl`	Learning to Drop Out: An Adversarial Approach to Training Sequence VAEs. CoRR Ðorðe Miladinovic, Kumar Shridhar, Kushal Jain, Max B. Paulus, Joachim M. Buhmann, Carl Allen
2022	A	`conf`	Statistical and computational thresholds for the planted k-densest sub-hypergraph problem. AISTATS Luca Corinzia, Paolo Penna, Wojciech Szpankowski, Joachim M. Buhmann
2021	J	`jnl`	Entrack: Probabilistic Spherical Regression with Entropy Regularization for Fiber Tractography. Int. J. Comput. Vis. Viktor Wegmayr, Joachim M. Buhmann
2021	B	`conf`	On maximum-likelihood estimation in the all-or-nothing regime. ISIT Luca Corinzia, Paolo Penna, Wojciech Szpankowski, Joachim M. Buhmann
2021	J	`jnl`	On maximum-likelihood estimation in the all-or-nothing regime. CoRR Luca Corinzia, Paolo Penna, Wojciech Szpankowski, Joachim M. Buhmann
2021	J	`jnl`	Self-supervised representation learning for surgical activity recognition. Int. J. Comput. Assist. Radiol. Surg. Daniel Paysan, Luis Haug, Michael Bajka, Markus Oelhafen, Joachim M. Buhmann
2021	A*	`conf`	Spatial Dependency Networks: Neural Layers for Improved Generative Image Modeling. ICLR Ðorðe Miladinovic, Aleksandar Stanic, Stefan Bauer, Jürgen Schmidhuber, Joachim M. Buhmann
2021	J	`jnl`	Spatial Dependency Networks: Neural Layers for Improved Generative Image Modeling. CoRR Djordje Miladinovic, Aleksandar Stanic, Stefan Bauer, Jürgen Schmidhuber, Joachim M. Buhmann
2021	J	`jnl`	Spatially Dependent U-Nets: Highly Accurate Architectures for Medical Imaging Segmentation. CoRR João B. S. Carvalho, João A. Santinha, Djordje Miladinovic, Joachim M. Buhmann
2020	J	`jnl`	Continuous Submodular Function Maximization. CoRR Yatao Bian, Joachim M. Buhmann, Andreas Krause
2020	—	`conf`	DeepHeartBeat: Latent trajectory learning of cardiac cycles using cardiac ultrasounds. ML4H@NeurIPS Fabian Laumer, Gabriel Fringeli, Alina Dubatovka, Laura Manduchi, Joachim M. Buhmann
2020	A*	`conf`	From Sets to Multisets: Provable Variational Inference for Probabilistic Integer Submodular Models. ICML Aytunc Sahin, Yatao Bian, Joachim M. Buhmann, Andreas Krause
2020	J	`jnl`	From Sets to Multisets: Provable Variational Inference for Probabilistic Integer Submodular Models. CoRR Aytunc Sahin, Yatao Bian, Joachim M. Buhmann, Andreas Krause
2020	A	`conf`	Instance Segmentation for the Quantification of Microplastic Fiber Images. WACV Viktor Wegmayr, Aytunc Sahin, Björn Sæmundsson, Joachim M. Buhmann
2020	A*	`conf`	Learning Counterfactual Representations for Estimating Individual Dose-Response Curves. AAAI Patrick Schwab, Lorenz Linhardt, Stefan Bauer, Joachim M. Buhmann, Walter Karlen
2020	J	`jnl`	Neural collaborative filtering for unsupervised mitral valve segmentation in echocardiography. Artif. Intell. Medicine Luca Corinzia, Fabian Laumer, Alessandro Candreva, Maurizio Taramasso, Francesco Maisano, Joachim M. Buhmann
2020	J	`jnl`	Neural collaborative filtering for unsupervised mitral valve segmentation in echocardiography. CoRR Luca Corinzia, Fabian Laumer, Alessandro Candreva, Maurizio Taramasso, Francesco Maisano, Joachim M. Buhmann
2020	J	`jnl`	Statistical and computational thresholds for the planted k-densest sub-hypergraph problem. CoRR Luca Corinzia, Paolo Penna, Wojciech Szpankowski, Joachim M. Buhmann
2019	—	`conf`	Disentangled State Space Models: Unsupervised Learning of dynamics across Heterogeneous Environments. DGS@ICLR Ðorðe Miladinovic, Muhammad Waleed Gondal, Bernhard Schölkopf, Joachim M. Buhmann, Stefan Bauer
2019	J	`jnl`	Disentangled State Space Representations. CoRR Ðorðe Miladinovic, Muhammad Waleed Gondal, Bernhard Schölkopf, Joachim M. Buhmann, Stefan Bauer
2019	—	`conf`	Entrack: A Data-Driven Maximum-Entropy Approach to Fiber Tractography. GCPR Viktor Wegmayr, Giacomo Giuliari, Joachim M. Buhmann
2019	B	`conf`	Exact Recovery for a Family of Community-Detection Generative Models. ISIT Luca Corinzia, Paolo Penna, Luca Mondada, Joachim M. Buhmann
2019	J	`jnl`	Exact Recovery for a Family of Community-Detection Generative Models. CoRR Luca Corinzia, Paolo Penna, Luca Mondada, Joachim M. Buhmann
2019	A	`conf`	Fast Gaussian process based gradient matching for parameter identification in systems of nonlinear ODEs. AISTATS Philippe Wenk, Alkis Gotovos, Stefan Bauer, Nico S. Gorbach, Andreas Krause, Joachim M. Buhmann
2019	—	`conf`	Generative Aging Of Brain MRI For Early Prediction Of MCI-AD Conversion. ISBI Viktor Wegmayr, Maurice Hörold, Joachim M. Buhmann
2019	—	`conf`	Generative Aging of Brain MR-Images and Prediction of Alzheimer Progression. GCPR Viktor Wegmayr, Maurice Hörold, Joachim M. Buhmann
2019	J	`jnl`	Learning Counterfactual Representations for Estimating Individual Dose-Response Curves. CoRR Patrick Schwab, Lorenz Linhardt, Stefan Bauer, Joachim M. Buhmann, Walter Karlen
2019	A*	`conf`	Optimal Continuous DR-Submodular Maximization and Applications to Provable Mean Field Inference. ICML Yatao An Bian, Joachim M. Buhmann, Andreas Krause
2019	J	`jnl`	SPINDLE: End-to-end learning from EEG/EMG to extrapolate animal sleep scoring across experimental settings, labs and species. PLoS Comput. Biol. Ðorðe Miladinovic, Christine Muheim, Stefan Bauer, Andrea Spinnler, Daniela Noain, Mojtaba Bandarabadi, Benjamin Gallusser, Gabriel Krummenacher, Christian R. Baumann, Antoine Adamantidis, Steven A. Brown, Joachim M. Buhmann
2019	B	`conf`	Unsupervised Mitral Valve Segmentation in Echocardiography with Neural Network Matrix Factorization. AIME Luca Corinzia, Jesse Provost, Alessandro Candreva, Maurizio Tamarasso, Francesco Maisano, Joachim M. Buhmann
2019	J	`jnl`	Variational Federated Multi-Task Learning. CoRR Luca Corinzia, Joachim M. Buhmann
2018	J	`jnl`	A generative model of whole-brain effective connectivity. NeuroImage Stefan Frässle, Ekaterina I. Lomakina, Lars Kasper, Zina M. Manjaly, Alexander P. Leff, Klaas P. Pruessmann, Joachim M. Buhmann, Klaas E. Stephan
2018	—	`conf`	Classification of brain MRI with big data and deep 3D convolutional neural networks. Computer-Aided Diagnosis Viktor Wegmayr, Sai Aitharaju, Joachim M. Buhmann
2018	—	`conf`	Data-driven fiber tractography with neural networks. ISBI Viktor Wegmayr, Giacomo Giuliari, Stefan Holdener, Joachim M. Buhmann
2018	J	`jnl`	Fast Gaussian Process Based Gradient Matching for Parameter Identification in Systems of Nonlinear ODEs. CoRR Philippe Wenk, Alkis Gotovos, Stefan Bauer, Nico S. Gorbach, Andreas Krause, Joachim M. Buhmann
2018	B	`conf`	Free Energy Asymptotics for Problems with Weak Solution Dependencies. ISIT Alexey Gronskiy, Joachim M. Buhmann, Wojciech Szpankowski
2018	J	`jnl`	Optimal DR-Submodular Maximization and Applications to Provable Mean Field Inference. CoRR An Bian, Joachim M. Buhmann, Andreas Krause
2018	J	`jnl`	Pipeline validation for connectivity-based cortex parcellation. NeuroImage Nico S. Gorbach, Marc Tittgemeyer, Joachim M. Buhmann
2018	J	`jnl`	Posterior agreement for large parameter-rich optimization problems. Theor. Comput. Sci. Joachim M. Buhmann, Julien Dumazert, Alexey Gronskiy, Wojciech Szpankowski
2018	J	`jnl`	Robust optimization in the presence of uncertainty: A generic approach. J. Comput. Syst. Sci. Joachim M. Buhmann, Alexey Gronskiy, Matús Mihalák, Tobias Pröger, Rastislav Srámek, Peter Widmayer
2018	—	`conf`	VIS Capstone Address : Can I believe what I see?-Information theoretic algorithm validation. VAST Joachim M. Buhmann
2018	J	`jnl`	Wheel Defect Detection With Machine Learning. IEEE Trans. Intell. Transp. Syst. Gabriel Krummenacher, Cheng Soon Ong, Stefan Koller, Seijin Kobayashi, Joachim M. Buhmann
2017	—	`conf`	Efficient and Flexible Inference for Stochastic Systems. NIPS Stefan Bauer, Nico S. Gorbach, Ðorðe Miladinovic, Joachim M. Buhmann
2017	J	`jnl`	Glaucoma detection using entropy sampling and ensemble learning for automatic optic cup and disc segmentation. Comput. Medical Imaging Graph. Julian G. Zilly, Joachim M. Buhmann, Dwarikanath Mahapatra
2017	A	`conf`	Guaranteed Non-convex Optimization: Submodular Maximization over Continuous Domains. AISTATS Andrew An Bian, Baharan Mirzasoleiman, Joachim M. Buhmann, Andreas Krause
2017	A*	`conf`	Guarantees for Greedy Maximization of Non-submodular Functions with Applications. ICML Andrew An Bian, Joachim M. Buhmann, Andreas Krause, Sebastian Tschiatschek
2017	J	`jnl`	Guarantees for Greedy Maximization of Non-submodular Functions with Applications. CoRR Andrew An Bian, Joachim M. Buhmann, Andreas Krause, Sebastian Tschiatschek
2017	—	`conf`	MRI-Based Surgical Planning for Lumbar Spinal Stenosis. MICCAI (3) Gabriele Abbati, Stefan Bauer, Sebastian Winklhofer, Peter J. Schüffler, Ulrike Held, Jakob M. Burgstaller, Johann Steurer, Joachim M. Buhmann
2017	—	`conf`	Model Selection for Gaussian Process Regression. GCPR Nico S. Gorbach, Andrew An Bian, Benjamin Fischer, Stefan Bauer, Joachim M. Buhmann
2017	—	`conf`	Non-monotone Continuous DR-submodular Maximization: Structure and Algorithms. NIPS An Bian, Kfir Yehuda Levy, Andreas Krause, Joachim M. Buhmann
2017	J	`jnl`	Non-monotone Continuous DR-submodular Maximization: Structure and Algorithms. CoRR An Bian, Kfir Y. Levy, Andreas Krause, Joachim M. Buhmann
2017	—	`conf`	Phase Transitions in Parameter Rich Optimization Problems. ANALCO Joachim M. Buhmann, Julien Dumazert, Alexey Gronskiy, Wojciech Szpankowski
2017	J	`jnl`	Regression DCM for fMRI. NeuroImage Stefan Frässle, Ekaterina I. Lomakina, Adeel Razi, Karl J. Friston, Joachim M. Buhmann, Klaas E. Stephan
2017	—	`conf`	Scalable Variational Inference for Dynamical Systems. NIPS Nico S. Gorbach, Stefan Bauer, Joachim M. Buhmann
2016	J	`jnl`	Active learning based segmentation of Crohns disease from abdominal MRI. Comput. Methods Programs Biomed. Dwarikanath Mahapatra, Franciscus M. Vos, Joachim M. Buhmann
2016	J	`jnl`	Computational Pathology: Challenges and Promises for Tissue Analysis. CoRR Thomas J. Fuchs, Joachim M. Buhmann
2016	J	`jnl`	Greedy MAXCUT Algorithms and their Information Content. CoRR Yatao Bian, Alexey Gronskiy, Joachim M. Buhmann
2016	J	`jnl`	Guaranteed Non-convex Optimization: Submodular Maximization over Continuous Domains. CoRR Andrew An Bian, Baharan Mirzasoleiman, Joachim M. Buhmann, Andreas Krause
2016	Misc	`conf`	Information-theoretic analysis of MaxCut algorithms. ITA Yatao Bian, Alexey Gronskiy, Joachim M. Buhmann
2016	J	`jnl`	Multi-Organ Cancer Classification and Survival Analysis. CoRR Stefan Bauer, Nicolas Carion, Peter J. Schüffler, Thomas J. Fuchs, Peter J. Wild, Joachim M. Buhmann
2016	—	`conf`	Scalable Adaptive Stochastic Optimization Using Random Projections. NIPS Gabriel Krummenacher, Brian McWilliams, Yannic Kilcher, Joachim M. Buhmann, Nicolai Meinshausen
2016	J	`jnl`	Scalable Adaptive Stochastic Optimization Using Random Projections. CoRR Gabriel Krummenacher, Brian McWilliams, Yannic Kilcher, Joachim M. Buhmann, Nicolai Meinshausen
2016	A*	`conf`	TI-POOLING: Transformation-Invariant Pooling for Feature Learning in Convolutional Neural Networks. CVPR Dmitry Laptev, Nikolay Savinov, Joachim M. Buhmann, Marc Pollefeys
2016	J	`jnl`	TI-POOLING: transformation-invariant pooling for feature learning in Convolutional Neural Networks. CoRR Dmitry Laptev, Nikolay Savinov, Joachim M. Buhmann, Marc Pollefeys
2015	—	`conf`	A field of experts model for optic cup and disc segmentation from retinal fundus images. ISBI Dwarikanath Mahapatra, Joachim M. Buhmann
2015	J	`jnl`	Asymptotic analysis of estimators on multi-label data. Mach. Learn. Andreas P. Streich, Joachim M. Buhmann
2015	—	`conf`	Boosting Convolutional Filters with Entropy Sampling for Optic Cup and Disc Image Segmentation from Fundus Images. MLMI Julian G. Zilly, Joachim M. Buhmann, Dwarikanath Mahapatra
2015	—	`conf`	Crohn's disease segmentation from MRI using learned image priors. ISBI Dwarikanath Mahapatra, Peter J. Schüffler, Frans Vos, Joachim M. Buhmann
2015	B	`conf`	Greedy MaxCut algorithms and their information content. ITW Yatao Bian, Alexey Gronskiy, Joachim M. Buhmann
2015	J	`jnl`	Inversion of hierarchical Bayesian models using Gaussian processes. NeuroImage Ekaterina I. Lomakina, Saee Paliwal, Andreea Oliviana Diaconescu, Kay Henning Brodersen, Eduardo A. Aponte, Joachim M. Buhmann, Klaas E. Stephan
2015	—	`conf`	Joint segmentation and groupwise registration of cardiac DCE MRI using sparse data representations. ISBI Dwarikanath Mahapatra, Zhang Li, Frans Vos, Joachim M. Buhmann
2015	A*	`conf`	Kickback Cuts Backprop's Red-Tape: Biologically Plausible Credit Assignment in Neural Networks. AAAI David Balduzzi, Hastagiri Vanchinathan, Joachim M. Buhmann
2015	A*	`conf`	Transformation-Invariant Convolutional Jungles. CVPR Dmitry Laptev, Joachim M. Buhmann
2015	—	`conf`	Visual Saliency Based Active Learning for Prostate MRI Segmentation. MLMI Dwarikanath Mahapatra, Joachim M. Buhmann
2014	—	`conf`	Active learning based segmentation of Crohn's disease using principles of visual saliency. ISBI Dwarikanath Mahapatra, Peter J. Schüffler, Jeroen A. W. Tielbeek, Jesica Makanyanga, Jaap Stoker, Stuart A. Taylor, Franciscus M. Vos, Joachim M. Buhmann
2014	—	`conf`	Combining Multiple Expert Annotations Using Semi-supervised Learning and Graph Cuts for Crohn's Disease Segmentation. ABDI@MICCAI Dwarikanath Mahapatra, Peter J. Schüffler, 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	—	`conf`	Convolutional Decision Trees for Feature Learning and Segmentation. GCPR Dmitry Laptev, Joachim M. Buhmann
2014	—	`conf`	Fast and Robust Least Squares Estimation in Corrupted Linear Models. NIPS Brian McWilliams, Gabriel Krummenacher, Mario Lucic, Joachim M. Buhmann
2014	B	`conf`	How informative are Minimum Spanning Tree algorithms? ISIT Alexey Gronskiy, Joachim M. Buhmann
2014	J	`jnl`	Kickback cuts Backprop's red-tape: Biologically plausible credit assignment in neural networks. CoRR David Balduzzi, Hastagiri Vanchinathan, Joachim M. Buhmann
2014	J	`jnl`	Prostate MRI Segmentation Using Learned Semantic Knowledge and Graph Cuts. IEEE Trans. Biomed. Eng. Dwarikanath Mahapatra, Joachim M. Buhmann
2014	—	`conf`	Semi-automatic Crohn's Disease Severity Estimation on MR Imaging. ABDI@MICCAI Peter J. Schüffler, Dwarikanath Mahapatra, Robiel Naziroglu, Zhang Li, Carl A. J. Puylaert, Rado Andriantsimiavona, Franciscus M. Vos, Doug A. Pendsé, C. Yung Nio, Jaap Stoker, Stuart A. Taylor, Joachim M. Buhmann
2014	B	`conf`	Sparse feature selection by information theory. ISIT Guangyao Zhou, Stuart Geman, Joachim M. Buhmann
2014	—	`conf`	SuperSlicing Frame Restoration for Anisotropic ssTEM and Video Data. Neural Connectomics Dmitry Laptev, Joachim M. Buhmann
2014	—	`conf`	Superslicing frame restoration for anisotropic sstem. ISBI Dmitry Laptev, A. Veznevets, Joachim M. Buhmann
2013	—	`conf`	A Model Development Pipeline for Crohn's Disease Severity Assessment from Magnetic Resonance Images. Abdominal Imaging Peter J. Schüffler, Dwarikanath Mahapatra, Jeroen A. W. Tielbeek, Franciscus M. Vos, Jesica Makanyanga, Doug Pendsé, C. Yung Nio, Jaap Stoker, Stuart A. Taylor, Joachim M. Buhmann
2013	J	`jnl`	A Supervised Learning Approach for Crohn's Disease Detection Using Higher-Order Image Statistics and a Novel Shape Asymmetry Measure. J. Digit. Imaging Dwarikanath Mahapatra, Peter Schueffler, Jeroen A. W. Tielbeek, Joachim M. Buhmann, Franciscus M. Vos
2013	—	`conf`	Approximate Sorting. GCPR Ludwig M. Busse, Morteza Haghir Chehreghani, Joachim M. Buhmann
2013	—	`ch.`	Automated Analysis of Tissue Micro-Array Images on the Example of Renal Cell Carcinoma. Similarity-Based Pattern Analysis and Recognition Peter J. Schüffler, Thomas J. Fuchs, Cheng Soon Ong, Volker Roth, Joachim M. Buhmann
2013	J	`jnl`	Automatic Detection and Segmentation of Crohn's Disease Tissues From Abdominal MRI. IEEE Trans. Medical Imaging Dwarikanath Mahapatra, Peter J. Schüffler, Jeroen A. W. Tielbeek, Jesica Makanyanga, Jaap Stoker, Stuart A. Taylor, Franciscus M. Vos, Joachim M. Buhmann
2013	—	`conf`	Automatic cardiac RV segmentation using semantic information with graph cuts. ISBI Dwarikanath Mahapatra, Joachim M. Buhmann
2013	—	`conf`	Correlated random features for fast semi-supervised learning. NIPS Brian McWilliams, David Balduzzi, Joachim M. Buhmann
2013	J	`jnl`	Correlated random features for fast semi-supervised learning. CoRR Brian McWilliams, David Balduzzi, Joachim M. Buhmann
2013	—	`conf`	Crohn's disease tissue segmentation from abdominal MRI using semantic information and graph cuts. ISBI Dwarikanath Mahapatra, Peter J. Schüffler, Jeroen A. W. Tielbeek, Franciscus M. Vos, Joachim M. Buhmann
2013	—	`conf`	Ellipsoidal Multiple Instance Learning. ICML (2) Gabriel Krummenacher, Cheng Soon Ong, Joachim M. Buhmann
2013	B	`conf`	Localizing and segmenting Crohn's disease affected regions in abdominal MRI using novel context features. Image Processing Dwarikanath Mahapatra, Peter J. Schüffler, Jeroen A. W. Tielbeek, Franciscus M. Vos, Joachim M. Buhmann
2013	J	`jnl`	Near-optimal experimental design for model selection in systems biology. Bioinform. Alberto Giovanni Busetto, Alain Hauser, Gabriel Krummenacher, Mikael Sunnåker, Sotiris Dimopoulos, Cheng Soon Ong, Jörg Stelling, Joachim M. Buhmann
2013	A	`conf`	Robust optimization in the presence of uncertainty. ITCS Joachim M. Buhmann, Matús Mihalák, Rastislav Srámek, Peter Widmayer
2013	J	`jnl`	Role Mining with Probabilistic Models. ACM Trans. Inf. Syst. Secur. Mario Frank, Joachim M. Buhmann, David A. Basin
2013	—	`ch.`	SIMBAD: Emergence of Pattern Similarity. Similarity-Based Pattern Analysis and Recognition Joachim M. Buhmann
2013	—	`conf`	Semi-Supervised and Active Learning for Automatic Segmentation of Crohn's Disease. MICCAI (2) Dwarikanath Mahapatra, Peter J. Schüffler, Jeroen A. W. Tielbeek, Franciscus M. Vos, Joachim M. Buhmann
2013	—	`ch.`	Structure Preserving Embedding of Dissimilarity Data. Similarity-Based Pattern Analysis and Recognition Volker Roth, Thomas J. Fuchs, Julia E. Vogt, Sandhya Prabhakaran, Joachim M. Buhmann
2013	J	`jnl`	Towards a Framework for Modelling Engagement Dynamics in Multiple Learning Domains. Int. J. Artif. Intell. Educ. Tanja Käser, Gian-Marco Baschera, Alberto Giovanni Busetto, Severin Klingler, Barbara Solenthaler, Joachim M. Buhmann, Markus H. Gross
2013	J	`jnl`	Variational Bayesian mixed-effects inference for classification studies. NeuroImage Kay Henning Brodersen, Jean Daunizeau, Christoph Mathys, Justin R. Chumbley, Joachim M. Buhmann, Klaas E. Stephan
2013	—	`conf`	Weakly supervised semantic segmentation of Crohn's disease tissues from abdominal MRI. ISBI Dwarikanath Mahapatra, Alexander Vezhnevets, Peter J. Schüffler, Jeroen A. W. Tielbeek, Franciscus M. Vos, Joachim M. Buhmann
2012	—	`conf`	A Supervised Learning Based Approach to Detect Crohn's Disease in Abdominal MR Volumes. Abdominal Imaging Dwarikanath Mahapatra, Peter Schueffler, Jeroen A. W. Tielbeek, Joachim M. Buhmann, Franciscus M. Vos
2012	A*	`conf`	Active learning for semantic segmentation with expected change. CVPR Alexander Vezhnevets, Joachim M. Buhmann, Vittorio Ferrari
2012	—	`conf`	Anisotropic ssTEM Image Segmentation Using Dense Correspondence across Sections. MICCAI (1) Dmitry Laptev, Alexander Vezhnevets, Sarvesh Dwivedi, Joachim M. Buhmann
2012	J	`jnl`	Bayesian mixed-effects inference on classification performance in hierarchical data sets. J. Mach. Learn. Res. Kay Henning Brodersen, Christoph Mathys, Justin R. Chumbley, Jean Daunizeau, Cheng Soon Ong, Joachim M. Buhmann, Klaas E. Stephan
2012	—	`conf`	Cardiac LV and RV Segmentation Using Mutual Context Information. MLMI Dwarikanath Mahapatra, Joachim M. Buhmann
2012	—	`conf`	Computational modeling for assessment of IBD: To be or not to be? EMBC Franciscus M. Vos, Jeroen A. W. Tielbeek, Robiel E. Naziroglu, Zhang Li, Peter Schueffler, Dwarikanath Mahapatra, Alexander Wiebel, Cristina Lavini, Joachim M. Buhmann, Hans-Christian Hege, Jaap Stoker, Lucas J. van Vliet
2012	—	`conf`	Context Sensitive Information: Model Validation by Information Theory. ICPRAM (1) Joachim M. Buhmann
2012	J	`jnl`	Decoding the perception of pain from fMRI using multivariate pattern analysis. NeuroImage Kay Henning Brodersen, Katja Wiech, Ekaterina I. Lomakina, Chia-shu Lin, Joachim M. Buhmann, Ulrike Bingel, Markus Ploner, Klaas Enno Stephan, Irene Tracey
2012	—	`conf`	Information Theoretic Model Selection for Pattern Analysis. ICML Unsupervised and Transfer Learning Joachim M. Buhmann, Morteza Haghir Chehreghani, Mario Frank, Andreas P. Streich
2012	A	`conf`	Information Theoretic Model Validation for Spectral Clustering. AISTATS Morteza Haghir Chehreghani, Alberto Giovanni Busetto, Joachim M. Buhmann
2012	J	`jnl`	Learning Dictionaries With Bounded Self-Coherence. IEEE Signal Process. Lett. Christian D. Sigg, Tomas Dikk, Joachim M. Buhmann
2012	J	`jnl`	Learning Dictionaries with Bounded Self-Coherence CoRR Christian D. Sigg, Tomas Dikk, Joachim M. Buhmann
2012	J	`jnl`	Multi-Assignment Clustering for Boolean Data. J. Mach. Learn. Res. Mario Frank, Andreas P. Streich, David A. Basin, Joachim M. Buhmann
2012	J	`jnl`	Role Mining with Probabilistic Models CoRR Mario Frank, Joachim M. Buhmann, David A. Basin
2012	J	`jnl`	Speech Enhancement Using Generative Dictionary Learning. IEEE Trans. Speech Audio Process. Christian D. Sigg, Tomas Dikk, Joachim M. Buhmann
2012	B	`conf`	The information content in sorting algorithms. ISIT Ludwig M. Busse, Morteza Haghir Chehreghani, Joachim M. Buhmann
2012	A*	`conf`	Weakly supervised structured output learning for semantic segmentation. CVPR Alexander Vezhnevets, Vittorio Ferrari, Joachim M. Buhmann
2011	—	`conf`	Agnostic Domain Adaptation. DAGM-Symposium Alexander Vezhnevets, Joachim M. Buhmann
2011	J	`jnl`	Computational pathology: Challenges and promises for tissue analysis. Comput. Medical Imaging Graph. Thomas J. Fuchs, Joachim M. Buhmann
2011	—	`conf`	Context Sensitive Information: Model Validation by Information Theory. MCPR Joachim M. Buhmann
2011	J	`jnl`	Generative Embedding for Model-Based Classification of fMRI Data. PLoS Comput. Biol. Kay Henning Brodersen, Thomas M. Schofield, Alexander P. Leff, Cheng Soon Ong, Ekaterina I. Lomakina, Joachim M. Buhmann, Klaas E. Stephan
2011	—	`conf`	Model-Based Clustering of Inhomogeneous Paired Comparison Data. SIMBAD Ludwig M. Busse, Joachim M. Buhmann
2011	J	`jnl`	Model-based feature construction for multivariate decoding. NeuroImage Kay Henning Brodersen, Florent Haiss, Cheng Soon Ong, Fabienne Jung, Marc Tittgemeyer, Joachim M. Buhmann, Bruno Weber, Klaas E. Stephan
2011	A	`conf`	Modeling Engagement Dynamics in Spelling Learning. AIED Gian-Marco Baschera, Alberto Giovanni Busetto, Severin Klingler, Joachim M. Buhmann, Markus H. Gross
2011	B	`conf`	Predicting Graduate-level Performance from Undergraduate Achievements. EDM Judith Zimmermann, Kay Henning Brodersen, Jean-Philippe Pellet, Elias August, Joachim M. Buhmann
2011	J	`jnl`	Proteome Coverage Prediction for Integrated Proteomics Datasets. J. Comput. Biol. Manfred Claassen, Ruedi Aebersold, Joachim M. Buhmann
2011	J	`jnl`	Selecting the rank of SVD by Maximum Approximation Capacity CoRR Mario Frank, Joachim M. Buhmann
2011	B	`conf`	Selecting the rank of truncated SVD by maximum approximation capacity. ISIT Mario Frank, Joachim M. Buhmann
2011	—	`conf`	The Minimum Transfer Cost Principle for Model-Order Selection. ECML/PKDD (1) Mario Frank, Morteza Haghir Chehreghani, Joachim M. Buhmann
2011	A*	`conf`	Weakly supervised semantic segmentation with a multi-image model. ICCV Alexander Vezhnevets, Vittorio Ferrari, Joachim M. Buhmann
2010	—	`conf`	Computational TMA Analysis and Cell Nucleus Classification of Renal Cell Carcinoma. DAGM-Symposium Peter J. Schüffler, Thomas J. Fuchs, Cheng Soon Ong, Volker Roth, Joachim M. Buhmann
2010	—	`conf`	Entropy and Margin Maximization for Structured Output Learning. ECML/PKDD (3) Patrick Pletscher, Cheng Soon Ong, Joachim M. Buhmann
2010	—	`conf`	Geometrical Consistent 3D Tracing of Neuronal Processes in ssTEM Data. MICCAI (2) Verena Kaynig, Thomas J. Fuchs, Joachim M. Buhmann
2010	J	`jnl`	Infinite mixture-of-experts model for sparse survival regression with application to breast cancer. BMC Bioinform. Sudhir Raman, Thomas J. Fuchs, Peter J. Wild, Edgar Dahl, Joachim M. Buhmann, Volker Roth
2010	J	`jnl`	Information theoretic model validation for clustering CoRR Joachim M. Buhmann
2010	B	`conf`	Information theoretic model validation for clustering. ISIT Joachim M. Buhmann
2010	J	`jnl`	Learning the Compositional Nature of Visual Object Categories for Recognition. IEEE Trans. Pattern Anal. Mach. Intell. Björn Ommer, Joachim M. Buhmann
2010	A*	`conf`	Neuron geometry extraction by perceptual grouping in ssTEM images. CVPR Verena Kaynig, Thomas J. Fuchs, Joachim M. Buhmann
2010	C	`conf`	On the definition of role mining. SACMAT Mario Frank, Joachim M. Buhmann, David A. Basin
2010	B	`conf`	Proteome Coverage Prediction for Integrated Proteomics Datasets. RECOMB Manfred Claassen, Ruedi Aebersold, Joachim M. Buhmann
2010	Misc	`conf`	Regularized online learning of pseudometrics. ICASSP Yvonne Moh, Joachim M. Buhmann
2010	Misc	`conf`	Speech enhancement with sparse coding in learned dictionaries. ICASSP Christian D. Sigg, Tomas Dikk, Joachim M. Buhmann
2010	B	`conf`	The Balanced Accuracy and Its Posterior Distribution. ICPR Kay Henning Brodersen, Cheng Soon Ong, Klaas Enno Stephan, Joachim M. Buhmann
2010	B	`conf`	The Binormal Assumption on Precision-Recall Curves. ICPR Kay Henning Brodersen, Cheng Soon Ong, Klaas Enno Stephan, Joachim M. Buhmann
2010	A*	`conf`	Towards weakly supervised semantic segmentation by means of multiple instance and multitask learning. CVPR Alexander Vezhnevets, Joachim M. Buhmann
2009	A*	`conf`	A probabilistic approach to hybrid role mining. CCS Mario Frank, Andreas P. Streich, David A. Basin, Joachim M. Buhmann
2009	J	`jnl`	Adaptive bandwidth selection for biomarker discovery in mass spectrometry. Artif. Intell. Medicine Bernd Fischer, Volker Roth, Joachim M. Buhmann
2009	—	`conf`	Graph-Based Pancreatic Islet Segmentation for Early Type 2 Diabetes Mellitus on Histopathological Tissue. MICCAI (1) Xenofon E. Floros, Thomas J. Fuchs, Markus P. Rechsteiner, Giatgen Spinas, Holger Moch, Joachim M. Buhmann
2009	—	`conf`	Inter-active learning of randomized tree ensembles for object detection. ICCV Workshops Thomas J. Fuchs, Joachim M. Buhmann
2009	Misc	`conf`	Manifold regularization for semi-supervised sequential learning. ICASSP Yvonne Moh, Joachim M. Buhmann
2009	A*	`conf`	Multi-assignment clustering for Boolean data. ICML Andreas P. Streich, Mario Frank, David A. Basin, Joachim M. Buhmann
2009	A*	`conf`	Optimized expected information gain for nonlinear dynamical systems. ICML Alberto Giovanni Busetto, Cheng Soon Ong, Joachim M. Buhmann
2009	J	`jnl`	Proteome coverage prediction with infinite Markov models. Bioinform. Manfred Claassen, Ruedi Aebersold, Joachim M. Buhmann
2009	—	`conf`	Randomized Tree Ensembles for Object Detection in Computational Pathology. ISVC (1) Thomas J. Fuchs, Johannes Haybaeck, Peter J. Wild, Mathias Heikenwalder, Holger Moch, Adriano Aguzzi, Joachim M. Buhmann
2009	J	`jnl`	Seeing the Objects Behind the Dots: Recognition in Videos from a Moving Camera. Int. J. Comput. Vis. Björn Ommer, Theodor Mader, Joachim M. Buhmann
2009	A	`conf`	Spanning Tree Approximations for Conditional Random Fields. AISTATS Patrick Pletscher, Cheng Soon Ong, Joachim M. Buhmann
2009	—	`conf`	Stable Bayesian Parameter Estimation for Biological Dynamical Systems. CSE (1) Alberto Giovanni Busetto, Joachim M. Buhmann
2009	A	`conf`	Structure Identification by Optimized Interventions. AISTATS Alberto Giovanni Busetto, Joachim M. Buhmann
2008	A*	`conf`	A class of probabilistic models for role engineering. CCS Mario Frank, David A. Basin, Joachim M. Buhmann
2008	—	`conf`	Automatic Detection of Learnability under Unreliable and Sparse User Feedback. DAGM-Symposium Yvonne Moh, Wolfgang Einhäuser, Joachim M. Buhmann
2008	—	`conf`	Classification of Multi-labeled Data: A Generative Approach. ECML/PKDD (2) Andreas P. Streich, Joachim M. Buhmann
2008	—	`conf`	Computational Pathology Analysis of Tissue Microarrays Predicts Survival of Renal Clear Cell Carcinoma Patients. MICCAI (2) Thomas J. Fuchs, Peter J. Wild, Holger Moch, Joachim M. Buhmann
2008	A*	`conf`	Expectation-maximization for sparse and non-negative PCA. ICML Christian D. Sigg, Joachim M. Buhmann
2008	—	`conf`	Kernel Expansion for Online Preference Tracking. ISMIR Yvonne Moh, Joachim M. Buhmann
2008	Misc	`conf`	Music preference learning with partial information. ICASSP Yvonne Moh, Peter Orbanz, Joachim M. Buhmann
2008	J	`jnl`	Nonparametric Bayesian Image Segmentation. Int. J. Comput. Vis. Peter Orbanz, Joachim M. Buhmann
2008	J	`jnl`	On Relevant Dimensions in Kernel Feature Spaces. J. Mach. Learn. Res. Mikio L. Braun, Joachim M. Buhmann, Klaus-Robert Müller
2008	A*	`conf`	Probabilistic image registration and anomaly detection by nonlinear warping. CVPR Verena Kaynig, Bernd Fischer, Joachim M. Buhmann
2008	—	`conf`	Weakly Supervised Cell Nuclei Detection and Segmentation on Tissue Microarrays of Renal Clear Cell Carcinoma. DAGM-Symposium Thomas J. Fuchs, Tilman Lange, Peter J. Wild, Holger Moch, Joachim M. Buhmann
2007	—	`conf`	Bayesian Order-Adaptive Clustering for Video Segmentation. EMMCVPR Peter Orbanz, Samuel Braendle, Joachim M. Buhmann
2007	A*	`conf`	Cluster analysis of heterogeneous rank data. ICML Ludwig M. Busse, Peter Orbanz, Joachim M. Buhmann
2007	—	`conf`	Complex Statistical Models for Object Recognition and Mass Spectrometry. PRIS Joachim M. Buhmann
2007	—	`conf`	Compositional Object Recognition, Segmentation, and Tracking in Video. EMMCVPR Björn Ommer, Joachim M. Buhmann
2007	—	`conf`	Kernel-Based Grouping of Histogram Data. ECML Tilman Lange, Joachim M. Buhmann
2007	A*	`conf`	Learning the Compositional Nature of Visual Objects. CVPR Björn Ommer, Joachim M. Buhmann
2007	J	`jnl`	PepSplice: cache-efficient search algorithms for comprehensive identification of tandem mass spectra. Bioinform. Franz F. Roos, Riko Jacob, Jonas Grossmann, Bernd Fischer, Joachim M. Buhmann, Wilhelm Gruissem, Sacha Baginsky, Peter Widmayer
2007	—	`conf`	Regularized Data Fusion Improves Image Segmentation. DAGM-Symposium Tilman Lange, Joachim M. Buhmann
2007	J	`jnl`	Robust Image Segmentation Using Resampling and Shape Constraints. IEEE Trans. Pattern Anal. Mach. Intell. Thomas Zöller, Joachim M. Buhmann
2007	—	`conf`	Time-Series Alignment by Non-negative Multiple Generalized Canonical Correlation Analysis. WILF Bernd Fischer, Volker Roth, Joachim M. Buhmann
2007	J	`jnl`	Time-series alignment by non-negative multiple generalized canonical correlation analysis. BMC Bioinform. Bernd Fischer, Volker Roth, Joachim M. Buhmann
2006	—	`conf`	Denoising and Dimension Reduction in Feature Space. NIPS Mikio L. Braun, Joachim M. Buhmann, Klaus-Robert Müller
2006	—	`conf`	Dense Stereo by Triangular Meshing and Cross Validation. DAGM-Symposium Peter Wey, Bernd Fischer, Herbert Bay, Joachim M. Buhmann
2006	—	`conf`	Learning Compositional Categorization Models. ECCV (3) Björn Ommer, Joachim M. Buhmann
2006	—	`conf`	Learning Top-Down Grouping of Compositional Hierarchies for Recognition. CVPR Workshops Björn Ommer, Michael Sauter, Joachim M. Buhmann
2006	—	`conf`	Model Order Selection and Cue Combination for Image Segmentation. CVPR (1) Andrew Rabinovich, Serge J. Belongie, Tilman Lange, Joachim M. Buhmann
2006	—	`conf`	Model Selection in Kernel Methods Based on a Spectral Analysis of Label Information. DAGM-Symposium Mikio L. Braun, Tilman Lange, Joachim M. Buhmann
2006	J	`jnl`	On the information and representation of non-Euclidean pairwise data. Pattern Recognit. Julian Laub, Volker Roth, Joachim M. Buhmann, Klaus-Robert Müller
2006	B	`conf`	PerformancePrediction Challenge. IJCNN Isabelle Guyon, Amir Reza Saffari Azar Alamdari, Gideon Dror, Joachim M. Buhmann
2006	—	`conf`	Probabilistic De Novo Peptide Sequencing with Doubly Charged Ions. DAGM-Symposium Hansruedi Peter, Bernd Fischer, Joachim M. Buhmann
2006	—	`conf`	Semi-supervised LC/MS alignment for differential proteomics. ISMB (Supplement of Bioinformatics) Bernd Fischer, Jonas Grossmann, Volker Roth, Wilhelm Gruissem, Sacha Baginsky, Joachim M. Buhmann
2006	—	`conf`	Smooth Image Segmentation by Nonparametric Bayesian Inference. ECCV (1) Peter Orbanz, Joachim M. Buhmann
2005	A*	`conf`	Combining partitions by probabilistic label aggregation. KDD Tilman Lange, Joachim M. Buhmann
2005	—	`conf`	Fusion of Similarity Data in Clustering. NIPS Tilman Lange, Joachim M. Buhmann
2005	J	`jnl`	Image Segmentation by Networks of Spiking Neurons. Neural Comput. Joachim M. Buhmann, Tilman Lange, Ulrich Ramacher
2005	—	`conf`	Learning with Constrained and Unlabelled Data. CVPR (1) Tilman Lange, Martin H. C. Law, Anil K. Jain, Joachim M. Buhmann
2005	—	`conf`	Object Categorization by Compositional Graphical Models. EMMCVPR Björn Ommer, Joachim M. Buhmann
2005	—	`conf`	SAR images as mixtures of Gaussian mixtures. ICIP (2) Peter Orbanz, Joachim M. Buhmann
2004	—	`conf`	A Hidden Markov Model for de Novo Peptide Sequencing. NIPS Bernd Fischer, Volker Roth, Joachim M. Buhmann, Jonas Grossmann, Sacha Baginsky, Wilhelm Gruissem, Franz F. Roos, Peter Widmayer
2004	J	`jnl`	Boundary-constrained agglomerative segmentation. IEEE Trans. Geosci. Remote. Sens. Lothar Hermes, Joachim M. Buhmann
2004	—	`conf`	Clustering in Computer Vision and Data Analysis. PRIS Joachim M. Buhmann
2004	—	`conf`	Landscape of Clustering Algorithms. ICPR (1) Anil K. Jain, Alexander P. Topchy, Martin H. C. Law, Joachim M. Buhmann
2004	—	`conf`	Shape Constrained Image Segmentation by Parametric Distributional Clustering. CVPR (1) Thomas Zöller, Joachim M. Buhmann
2004	J	`jnl`	Stability-Based Validation of Clustering Solutions. Neural Comput. Tilman Lange, Volker Roth, Mikio L. Braun, Joachim M. Buhmann
2003	—	`conf`	A Compositionally Architecture for Perceptual Feature Grouping. EMMCVPR Björn Ommer, Joachim M. Buhmann
2003	—	`conf`	A New Distance Measure for Probabilistic Shape Modeling. DAGM-Symposium Wei-Jun Chen, Joachim M. Buhmann
2003	J	`jnl`	A minimum entropy approach to adaptive image polygonization. IEEE Trans. Image Process. Lothar Hermes, Joachim M. Buhmann
2003	J	`jnl`	Bagging for Path-Based Clustering. IEEE Trans. Pattern Anal. Mach. Intell. Bernd Fischer, Joachim M. Buhmann
2003	—	`conf`	Clustering with the Connectivity Kernel. NIPS Bernd Fischer, Volker Roth, Joachim M. Buhmann
2003	J	`jnl`	Optimal Cluster Preserving Embedding of Nonmetric Proximity Data. IEEE Trans. Pattern Anal. Mach. Intell. Volker Roth, Julian Laub, Motoaki Kawanabe, Joachim M. Buhmann
2003	J	`jnl`	Path-Based Clustering for Grouping of Smooth Curves and Texture Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. Bernd Fischer, Joachim M. Buhmann
2003	—	`conf`	Semi-supervised Image Segmentation by Parametric Distributional Clustering. EMMCVPR Lothar Hermes, Joachim M. Buhmann
2002	—	`conf`	A Resampling Approach to Cluster Validation. COMPSTAT Volker Roth, Tilman Lange, Mikio L. Braun, Joachim M. Buhmann
2002	—	`conf`	Combined Color And Texture Segmentation by Parametric Distributional Clustering. ICPR (2) Thomas Zöller, Lothar Hermes, Joachim M. Buhmann
2002	J	`jnl`	Coupled Clustering: A Method for Detecting Structural Correspondence. J. Mach. Learn. Res. Zvika Marx, Ido Dagan, Joachim M. Buhmann, Eli Shamir
2002	—	`conf`	Data Resampling for Path Based Clustering. DAGM-Symposium Bernd Fischer, Joachim M. Buhmann
2002	—	`conf`	Going Metric: Denoising Pairwise Data. NIPS Volker Roth, Julian Laub, Joachim M. Buhmann, Klaus-Robert Müller
2002	—	`conf`	Parametric Distributional Clustering for Image Segmentation. ECCV (3) Lothar Hermes, Thomas Zöller, Joachim M. Buhmann
2002	C	`conf`	Stability-Based Model Order Selection in Clustering with Applications to Gene Expression Data. ICANN Volker Roth, Mikio L. Braun, Tilman Lange, Joachim M. Buhmann
2002	—	`conf`	Stability-Based Model Selection. NIPS Tilman Lange, Mikio L. Braun, Volker Roth, Joachim M. Buhmann
2001	—	`conf`	A New Contour-Based Approach to Object Recognition for Assembly Line Robots. DAGM-Symposium Markus Suing, Lothar Hermes, Joachim M. Buhmann
2001	—	`conf`	Contextual Classification by Entropy-Based Polygonization. CVPR (2) Lothar Hermes, Joachim M. Buhmann
2001	J	`jnl`	Coupled Clustering: a Method for Detecting Structural Correspondence CoRR Zvika Marx, Ido Dagan, Joachim M. Buhmann
2001	A*	`conf`	Coupled Clustering: a Method for Detecting Structural Correspondence. ICML Zvika Marx, Ido Dagan, Joachim M. Buhmann
2001	J	`jnl`	Empirical Evaluation of Dissimilarity Measures for Color and Texture. Comput. Vis. Image Underst. Yossi Rubner, Jan Puzicha, Carlo Tomasi, Joachim M. Buhmann
2001	—	`conf`	Path Based Pairwise Data Clustering with Application to Texture Segmentation. EMMCVPR Bernd Fischer, Thomas Zöller, Joachim M. Buhmann
2001	—	`conf`	The Noisy Euclidean Traveling Salesman Problem and Learning. NIPS Mikio L. Braun, Joachim M. Buhmann
2001	A*	`conf`	Topology Free Hidden Markov Models: Application to Background Modeling. ICCV Bjoern Stenger, Visvanathan Ramesh, Nikos Paragios, Frans Coetzee, Joachim M. Buhmann
2000	J	`jnl`	A theory of proximity based clustering: structure detection by optimization. Pattern Recognit. Jan Puzicha, Thomas Hofmann, Joachim M. Buhmann
2000	B	`conf`	Active Learning for Hierarchical Pairwise Data Clustering. ICPR Joachim M. Buhmann, Thomas Zöller
2000	J	`jnl`	Data visualization by multidimensional scaling: a deterministic annealing approach. Pattern Recognit. Hansjörg Klock, Joachim M. Buhmann
2000	B	`conf`	Feature Selection for Support Vector Machines. ICPR Lothar Hermes, Joachim M. Buhmann
2000	B	`conf`	On Learning Optimal Texture Edge Detectors. ICIP Stefan Will, Lothar Hermes, Joachim M. Buhmann, Jan Puzicha
2000	J	`jnl`	On spatial quantization of color images. IEEE Trans. Image Process. Jan Puzicha, Marcus Held, Jens Ketterer, Joachim M. Buhmann, Dieter W. Fellner
1999	A*	`conf`	Empirical Evaluation of Dissimilarity Measures for Color and Texture. ICCV Jan Puzicha, Yossi Rubner, Carlo Tomasi, Joachim M. Buhmann
1999	A*	`conf`	Histogram Clustering for Unsupervised Image Segmentation. CVPR Jan Puzicha, Joachim M. Buhmann, Thomas Hofmann
1999	J	`jnl`	Histogram clustering for unsupervised segmentation and image retrieval. Pattern Recognit. Lett. Jan Puzicha, Thomas Hofmann, Joachim M. Buhmann
1999	—	`conf`	Model Selection in Clustering by Uniform Convergence Bounds. NIPS Joachim M. Buhmann, Marcus Held
1999	J	`jnl`	Multiscale Annealing for Grouping and Unsupervised Texture Segmentation. Comput. Vis. Image Underst. Jan Puzicha, Joachim M. Buhmann
1999	—	`ed.`	Mustererkennung 1999, 21. DAGM-Symposium, Bonn, 15.-17. September 1999, Proceedings DAGM-Symposium Wolfgang Förstner, Joachim M. Buhmann, Annett Faber, Petko Faber
1998	J	`jnl`	Competitive learning algorithms for robust vector quantization. IEEE Trans. Signal Process. Thomas Hofmann, Joachim M. Buhmann
1998	—	`conf`	Discrete Mixture Models for Unsupervised Image Segmentation. DAGM-Symposium Jan Puzicha, Joachim M. Buhmann, Thomas Hofmann
1998	J	`jnl`	Dithered Color Quantization. Comput. Graph. Forum Joachim M. Buhmann, Dieter W. Fellner, Marcus Held, Jens Ketterer, Jan Puzicha
1998	J	`jnl`	Knowledge-Discovery: Wie können wir Muster und Strukturen in Daten zuverlässig erkennen? Künstliche Intell. Joachim M. Buhmann
1998	A*	`conf`	Multiscale Annealing for Real-Time Unsupervised Texture Segmentation. ICCV Jan Puzicha, Joachim M. Buhmann
1998	—	`conf`	On Spatial Quantization of Color Images. ECCV (1) Jens Ketterer, Jan Puzicha, Marcus Held, Martin Fischer, Joachim M. Buhmann, Dieter W. Fellner
1998	—	`ch.`	Stochastic Algorithms for Exploratory Data Analysis: Data Clustering and Data Visualization. Learning in Graphical Models Joachim M. Buhmann
1998	—	`conf`	Unsupervised Learning for Robust Texture Segmentation. Theoretical Foundations of Computer Vision Joachim M. Buhmann, Jan Puzicha
1998	J	`jnl`	Unsupervised Texture Segmentation in a Deterministic Annealing Framework. IEEE Trans. Pattern Anal. Mach. Intell. Thomas Hofmann, Jan Puzicha, Joachim M. Buhmann
1998	—	`conf`	Visualizing Group Structure. NIPS Marcus Held, Jan Puzicha, Joachim M. Buhmann
1997	—	`conf`	Active Data Clustering. NIPS Thomas Hofmann, Joachim M. Buhmann
1997	—	`conf`	An Optimization Approach to Unsupervised Hierarchical Texture Segmentation. ICIP (3) Thomas Hofmann, Jan Puzicha, Joachim M. Buhmann
1997	J	`jnl`	Correction to "Pairwise Data Clustering by Deterministic Annealing". IEEE Trans. Pattern Anal. Mach. Intell. Thomas Hofmann, Joachim M. Buhmann
1997	—	`conf`	Deterministic Annealing for Unsupervised Texture Segmentation. EMMCVPR Thomas Hofmann, Jan Puzicha, Joachim M. Buhmann
1997	—	`conf`	Multidimensional Scaling by Deterministic Annealing. EMMCVPR Hansjörg Klock, Joachim M. Buhmann
1997	A*	`conf`	Non-parametric Similarity Measures for Unsupervised Texture Segmentation and Image Retrieval. CVPR Jan Puzicha, Thomas Hofmann, Joachim M. Buhmann
1997	J	`jnl`	Pairwise Data Clustering by Deterministic Annealing. IEEE Trans. Pattern Anal. Mach. Intell. Thomas Hofmann, Joachim M. Buhmann
1997	—	`conf`	Region-Based Motion Compensated 3D-Wavelet Transform Coding of Video. ICIP (2) Hansjörg Klock, Andreas Polzer, Joachim M. Buhmann
1997	Misc	`conf`	Robust vector quantization by competitive learning. ICASSP Joachim M. Buhmann, Thomas Hofmann
1997	—	`conf`	Unsupervised On-line Learning of Decision Trees for Hierarchical Data Analysis. NIPS Marcus Held, Joachim M. Buhmann
1997	—	`conf`	Video coding by region-based motion compensation and spatio-temporal wavelet transform. ICIP (3) Andreas Polzer, Hansjörg Klock, Joachim M. Buhmann
1996	C	`conf`	An Annealed "Neural Gas" Network for Robust Vector Quantization. ICANN Thomas Hofmann, Joachim M. Buhmann
1996	A*	`conf`	Inferring Hierarchical Clustering Structures by Deterministic Annealing. KDD Thomas Hofmann, Joachim M. Buhmann
1996	B	`conf`	Regularizing phase-based stereo. ICPR Thorsten Fröhlinghaus, Joachim M. Buhmann
1996	—	`conf`	Unsupervised segmentation of textured images by pairwise data clustering. ICIP (3) Thomas Hofmann, Jan Puzicha, Joachim M. Buhmann
1995	J	`jnl`	Komplexe lernende Systeme: der mobile Roboter RHINO. Künstliche Intell. Armin B. Cremers, Joachim M. Buhmann, Sebastian Thrun
1995	J	`jnl`	The Mobile Robot RHINO. AI Mag. Joachim M. Buhmann, Wolfram Burgard, Armin B. Cremers, Dieter Fox, Thomas Hofmann, Frank E. Schneider, Jiannis Strikos, Sebastian Thrun
1995	—	`conf`	The Mobile Robot Rhino. SNN Symposium on Neural Networks Joachim M. Buhmann, Wolfram Burgard, Armin B. Cremers, Dieter Fox, Thomas Hofmann, Frank E. Schneider, Jiannis Strikos, Sebastian Thrun
1994	—	`conf`	A maximum entropy approach to pairwise data clustering. ICPR (2) Joachim M. Buhmann, Thomas Hofmann
1994	—	`conf`	Multidimensional Scaling and Data Clustering. NIPS Thomas Hofmann, Joachim M. Buhmann
1993	—	`conf`	Central and Pairwise Data Clustering by Competitive Neural Networks. NIPS Joachim M. Buhmann, Thomas Hofmann
1993	J	`jnl`	Complexity Optimized Data Clustering by Competitive Neural Networks. Neural Comput. Joachim M. Buhmann, Hans Kühnel
1993	J	`jnl`	Distortion Invariant Object Recognition in the Dynamic Link Architecture. IEEE Trans. Computers Martin Lades, Jan C. Vorbrüggen, Joachim M. Buhmann, Jörg Lange, Christoph von der Malsburg, Rolf P. Würtz, Wolfgang Konen
1993	—	`conf`	Illumination-Invariant Face Recognition with a Contrast Sensitive Silicon Retina. NIPS Joachim M. Buhmann, Martin Lades, Frank H. Eeckman
1993	J	`jnl`	Vector quantization with complexity costs. IEEE Trans. Inf. Theory Joachim M. Buhmann, Hans Kühnel
1992	B	`conf`	Complexity Optimized Vector Quantization: A Neutral Network Approach. Data Compression Conference Joachim M. Buhmann, Hans Kühnel
1992	J	`jnl`	Sensory segmentation with coupled neural oscillators. Biol. Cybern. Christoph von der Malsburg, Joachim M. Buhmann
1990	J	`jnl`	Pattern Segmentation in Associative Memory. Neural Comput. DeLiang Wang, Joachim M. Buhmann, Christoph von der Malsburg
1990	B	`conf`	Size and distortion invariant object recognition by hierarchical graph matching. IJCNN Joachim M. Buhmann, Martin Lades, Christoph von der Malsburg
1988	—	`conf`	Invariant pattern recognition by means of fast synaptic plasticity. ICNN Joachim M. Buhmann, Klaus Schulten
1988	—	`—`	Neuronale Netzwerke als assoziative Speicher und als Systeme zur Mustererkennung. Joachim M. Buhmann