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Spatially Dependent U-Nets: Highly Accurate Architectures for Medical Imaging Segmentation


Mar 22, 2021
João B. S. Carvalho, João A. Santinha, Đorđe Miladinović, Joachim M. Buhmann


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Spatial Dependency Networks: Neural Layers for Improved Generative Image Modeling


Mar 16, 2021
Đorđe Miladinović, Aleksandar Stanić, Stefan Bauer, Jürgen Schmidhuber, Joachim M. Buhmann

* International Conference on Learning Representations (2021); 

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On maximum-likelihood estimation in the all-or-nothing regime


Jan 25, 2021
Luca Corinzia, Paolo Penna, Wojciech Szpankowski, Joachim M. Buhmann


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Statistical and computational thresholds for the planted $k$-densest sub-hypergraph problem


Nov 23, 2020
Luca Corinzia, Paolo Penna, Wojciech Szpankowski, Joachim M. Buhmann


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Neural collaborative filtering for unsupervised mitral valve segmentation in echocardiography


Aug 13, 2020
Luca Corinzia, Fabian Laumer, Alessandro Candreva, Maurizio Taramasso, Francesco Maisano, Joachim M. Buhmann


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Continuous Submodular Function Maximization


Jun 24, 2020
Yatao Bian, Joachim M. Buhmann, Andreas Krause

* 64 pages 

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From Sets to Multisets: Provable Variational Inference for Probabilistic Integer Submodular Models


Jun 01, 2020
Aytunc Sahin, Yatao Bian, Joachim M. Buhmann, Andreas Krause


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Variational Federated Multi-Task Learning


Jun 14, 2019
Luca Corinzia, Joachim M. Buhmann

* Under review at NeurIPS 2019 

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Disentangled State Space Representations


Jun 07, 2019
Đorđe Miladinović, Muhammad Waleed Gondal, Bernhard Schölkopf, Joachim M. Buhmann, Stefan Bauer


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Learning Counterfactual Representations for Estimating Individual Dose-Response Curves


Feb 03, 2019
Patrick Schwab, Lorenz Linhardt, Stefan Bauer, Joachim M. Buhmann, Walter Karlen


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Optimal DR-Submodular Maximization and Applications to Provable Mean Field Inference


May 19, 2018
An Bian, Joachim M. Buhmann, Andreas Krause

* 19 pages 

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Fast Gaussian Process Based Gradient Matching for Parameter Identification in Systems of Nonlinear ODEs


Apr 12, 2018
Philippe Wenk, Alkis Gotovos, Stefan Bauer, Nico Gorbach, Andreas Krause, Joachim M. Buhmann


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Scalable Variational Inference for Dynamical Systems


Apr 10, 2018
Nico S. Gorbach, Stefan Bauer, Joachim M. Buhmann


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Continuous DR-submodular Maximization: Structure and Algorithms


Dec 16, 2017
An Bian, Kfir Y. Levy, Andreas Krause, Joachim M. Buhmann

* Appeared in NIPS 2017 

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Guarantees for Greedy Maximization of Non-submodular Functions with Applications


Jun 13, 2017
Andrew An Bian, Joachim M. Buhmann, Andreas Krause, Sebastian Tschiatschek

* ICML 2017 

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Guaranteed Non-convex Optimization: Submodular Maximization over Continuous Domains


Mar 01, 2017
Andrew An Bian, Baharan Mirzasoleiman, Joachim M. Buhmann, Andreas Krause

* To appear in the 20th International Conference on Artificial Intelligence and Statistics (AISTATS) 2017 

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Multi-Organ Cancer Classification and Survival Analysis


Dec 02, 2016
Stefan Bauer, Nicolas Carion, Peter Schüffler, Thomas Fuchs, Peter Wild, Joachim M. Buhmann


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Scalable Adaptive Stochastic Optimization Using Random Projections


Nov 21, 2016
Gabriel Krummenacher, Brian McWilliams, Yannic Kilcher, Joachim M. Buhmann, Nicolai Meinshausen

* To appear in Advances in Neural Information Processing Systems 29 (NIPS 2016) 

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Mean-Field Variational Inference for Gradient Matching with Gaussian Processes


Oct 21, 2016
Nico S. Gorbach, Stefan Bauer, Joachim M. Buhmann


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Model Selection for Gaussian Process Regression by Approximation Set Coding


Oct 04, 2016
Benjamin Fischer, Nico Gorbach, Stefan Bauer, Yatao Bian, Joachim M. Buhmann


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TI-POOLING: transformation-invariant pooling for feature learning in Convolutional Neural Networks


Sep 22, 2016
Dmitry Laptev, Nikolay Savinov, Joachim M. Buhmann, Marc Pollefeys

* Accepted at CVPR 2016. The first two authors assert equal contribution and joint first authorship 

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Computational Pathology: Challenges and Promises for Tissue Analysis


Dec 31, 2015
Thomas J. Fuchs, Joachim M. Buhmann

* Computerized Medical Imaging and Graphics, vol. 35, 7-8, p. 515-530, 2011 

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Fast and Robust Least Squares Estimation in Corrupted Linear Models


Jun 19, 2014
Brian McWilliams, Gabriel Krummenacher, Mario Lucic, Joachim M. Buhmann


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Correlated random features for fast semi-supervised learning


Nov 05, 2013
Brian McWilliams, David Balduzzi, Joachim M. Buhmann

* 15 pages, 3 figures, 6 tables 

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Role Mining with Probabilistic Models


Jan 04, 2013
Mario Frank, Joachim M. Buhmann, David Basin

* accepted for publication at ACM Transactions on Information and System Security (TISSEC) 

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Learning Dictionaries with Bounded Self-Coherence


Oct 17, 2012
Christian D. Sigg, Tomas Dikk, Joachim M. Buhmann

* 4 pages, 2 figures; IEEE Signal Processing Letters, vol. 19, no. 12, 2012 

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Selecting the rank of truncated SVD by Maximum Approximation Capacity


Jun 08, 2011
Mario Frank, Joachim M. Buhmann

* Information Theory Proceedings (ISIT), 2011 IEEE International Symposium on, 2011, pages 1036-1040 
* 7 pages, 5 figures; Will be presented at the IEEE International Symposium on Information Theory (ISIT) 2011. The conference version has only 5 pages. This version has an extended appendix 

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Information theoretic model validation for clustering


Jun 02, 2010
Joachim M. Buhmann

* 9 pages, 2 figures, International Symposium on Information Theory 2010 (ISIT10 E-Mo-4.2), June 13-18 in Austin, TX} 

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